index-osEr2qXk.js

js airpipe.io collected 2026-10-04 19:20:42 UTC 383,563 bytes, 200 lines download raw bytes

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2 * @remix-run/router v1.15.0
3 *
4 * Copyright (c) Remix Software Inc.
5 *
6 * This source code is licensed under the MIT license found in the
7 * LICENSE.md file in the root directory of this source tree.
8 *
9 * @license MIT
10 */function Ne(){return Ne=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var o=arguments[t];for(var n in o)Object.prototype.hasOwnProperty.call(o,n)&&(e[n]=o[n])}return e},Ne.apply(this,arguments)}var se;(function(e){e.Pop="POP",e.Push="PUSH",e.Replace="REPLACE"})(se||(se={}));const Ca="popstate";function on(e){e===void 0&&(e={});function t(n,s){let{pathname:r,search:i,hash:l}=n.location;return aa("",{pathname:r,search:i,hash:l},s.state&&s.state.usr||null,s.state&&s.state.key||"default")}function o(n,s){return typeof s=="string"?s:dt(s)}return sn(t,o,null,e)}function L(e,t){if(e===!1||e===null||typeof e>"u")throw new Error(t)}function ha(e,t){if(!e){typeof console<"u"&&console.warn(t);try{throw new Error(t)}catch{}}}function nn(){return Math.random().toString(36).substr(2,8)}function Ia(e,t){return{usr:e.state,key:e.key,idx:t}}function aa(e,t,o,n){return o===void 0&&(o=null),Ne({pathname:typeof e=="string"?e:e.pathname,search:"",hash:""},typeof t=="string"?Se(t):t,{state:o,key:t&&t.key||n||nn()})}function dt(e){let{pathname:t="/",search:o="",hash:n=""}=e;return o&&o!=="?"&&(t+=o.charAt(0)==="?"?o:"?"+o),n&&n!=="#"&&(t+=n.charAt(0)==="#"?n:"#"+n),t}function Se(e){let t={};if(e){let o=e.indexOf("#");o>=0&&(t.hash=e.substr(o),e=e.substr(0,o));let n=e.indexOf("?");n>=0&&(t.search=e.substr(n),e=e.substr(0,n)),e&&(t.pathname=e)}return t}function sn(e,t,o,n){n===void 0&&(n={});let{window:s=document.defaultView,v5Compat:r=!1}=n,i=s.history,l=se.Pop,h=null,u=p();u==null&&(u=0,i.replaceState(Ne({},i.state,{idx:u}),""));function p(){return(i.state||{idx:null}).idx}function m(){l=se.Pop;let b=p(),j=b==null?null:b-u;u=b,h&&h({action:l,location:P.location,delta:j})}function k(b,j){l=se.Push;let x=aa(P.location,b,j);o&&o(x,b),u=p()+1;let T=Ia(x,u),H=P.createHref(x);try{i.pushState(T,"",H)}catch(Z){if(Z instanceof DOMException&&Z.name==="DataCloneError")throw Z;s.location.assign(H)}r&&h&&h({action:l,location:P.location,delta:1})}function A(b,j){l=se.Replace;let x=aa(P.location,b,j);o&&o(x,b),u=p();let T=Ia(x,u),H=P.createHref(x);i.replaceState(T,"",H),r&&h&&h({action:l,location:P.location,delta:0})}function M(b){let j=s.location.origin!=="null"?s.location.origin:s.location.href,x=typeof b=="string"?b:dt(b);return L(j,"No window.location.(origin|href) available to create URL for href: "+x),new URL(x,j)}let P={get action(){return l},get location(){return e(s,i)},listen(b){if(h)throw new Error("A history only accepts one active listener");return s.addEventListener(Ca,m),h=b,()=>{s.removeEventListener(Ca,m),h=null}},createHref(b){return t(s,b)},createURL:M,encodeLocation(b){let j=M(b);return{pathname:j.pathname,search:j.search,hash:j.hash}},push:k,replace:A,go(b){return i.go(b)}};return P}var ja;(function(e){e.data="data",e.deferred="deferred",e.redirect="redirect",e.error="error"})(ja||(ja={}));function rn(e,t,o){o===void 0&&(o="/");let n=typeof t=="string"?Se(t):t,s=da(n.pathname||"/",o);if(s==null)return null;let r=H1(e);ln(r);let i=null;for(let l=0;i==null&&l<r.length;++l)i=fn(r[l],wn(s));return i}function H1(e,t,o,n){t===void 0&&(t=[]),o===void 0&&(o=[]),n===void 0&&(n="");let s=(r,i,l)=>{let h={relativePath:l===void 0?r.path||"":l,caseSensitive:r.caseSensitive===!0,childrenIndex:i,route:r};h.relativePath.startsWith("/")&&(L(h.relativePath.startsWith(n),'Absolute route path "'+h.relativePath+'" nested under path '+('"'+n+'" is not val

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12 *
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14 *
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17 *
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20 * React Router DOM v6.22.0
21 *
22 * Copyright (c) Remix Software Inc.
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24 * This source code is licensed under the MIT license found in the
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28n edit it by hand or visually whenever you like.",sections:[{heading:"From a prompt to a deployable config",body:"Air Pipe's AI turns a sentence into a working configuration: interfaces, actions, database queries, auth and assertions. It retrieves over the marketplace and the config schema, so the output uses real patterns â not hallucinated fields.",points:["Schema validation with auto-repair before you ever deploy","Grounded in your database schema and published packs","Edit the result as readable YAML or in the visual editor"]},{heading:"No black boxes",body:"Unlike a chat that returns opaque automation, Air Pipe returns config you own and can read. Every generated endpoint still ships tracing, metrics and OpenAPI docs automatically â so you can see exactly what it does the moment it runs."},{heading:"Three ways to build, one runtime",body:"Prompt it, write the config by hand, or fork a marketplace pack. All three produce the same declarative config the engine runs â so you're never locked into one authoring style."}],faq:[{q:"Do I have to keep using AI to maintain the config?",a:"No. The AI writes a config, but the config is the product â readable YAML you own. Edit it by hand, in the visual editor, or ask for another pass. Nothing is locked behind the prompt."},{q:"How does Air Pipe avoid hallucinating config fields?",a:"Generation is grounded in the live config schema and published marketplace packs, and the result is validated with auto-repair before you deploy. Invalid fields are caught rather than shipped."},{q:"Can it see my database schema?",a:"Yes â generation can be grounded in your database schema, so the queries it writes reference tables and columns that actually exist."}],docsUrl:"https://docs.airpipe.io/docs/features/build-with-ai"},{slug:"observability",path:"/features/observability",tagline:"OpenTelemetry, Prometheus, OpenAPI.",seoTitle:"OpenAPI, Metrics & OpenTelemetry from Config | Air Pipe",seoDescription:"Every Air Pipe endpoint ships OpenTelemetry traces, Prometheus metrics and OpenAPI docs automatically â no annotations, no agents, no instrumentation code.",eyebrow:"Observability",h1:"Every endpoint is observable the moment it ships.",lead:"Set one env var and every request becomes an end-to-end trace. Metrics and API docs generate themselves. No annotations, no instrumentation code, no separate agents to run.",sections:[{heading:"Distributed tracing, zero code",body:"Air Pipe emits OpenTelemetry (OTLP) traces for every request, interface, action and lookup, with W3C trace-context propagation. Point it at Jaeger, Grafana Tempo, Honeycomb or Datadog and see the whole call graph.",points:["Spans for each request, action and database call","OTLP/HTTP export to any OpenTelemetry backend","Trace-context propagation across outbound calls"]},{heading:"Prometheus metrics, labelled sanely",body:"A /metrics endpoint is exposed automatically, labelled per interface and action â so you get request rates, latencies and error counts without cardinality blow-ups from IDs in paths. Emit your own business metrics from config too."},{heading:"OpenAPI & Swagger, generated from config",body:"Set docs: true and Air Pipe renders an OpenAPI 3.0 spec and Swagger UI from your assertions and metadata. Your docs can't drift from your API because they're generated from the same config."}],faq:[{q:"How do I enable OpenAPI docs?",a:"Set docs: true on the config. Air Pipe generates an OpenAPI 3.0 spec and Swagger UI from your interfaces, assertions and metadata â there are no annotations to write and the docs can't drift from the API, because both come from the same config."},{q:"Are traces automatic?",a:"Yes. Air Pipe emits OpenTelemetry traces for every request, interface, action and lookup, with W3C trace-context propagation, once you point it at an OTLP endpoint. You don't add instrumentation code."},{q:"Which observability backends work?",a:"Any OpenTelemetry-compatible backend via OTLP/HTTP â Jaeger, Grafana Tempo, Honeycomb and Datadog among them â and any Prometheus-compatible scraper for the metrics endpoint."},{q:"Do I need a separate agent or collector?",a:"No. Export is built into the runtime, so there's no sidecar or collector to deploy alongside it â though you can send to a collector if your stack already has one."}],docsUrl:"https://docs.airpipe.io/docs/otel-tracing"},{slug:"mcp",path:"/features/mcp",tagline:"Any endpoint as secure MCP tools.",seoTitle:"MCP Server for Your APIs, Data and Agents | Air Pipe",seoDescription:"Turn any Air Pipe interface into a secure Model Context Protocol tool for Claude, Cursor and other agents â reusing the same auth as a normal route. Start free.",eyebrow:"MCP server",h1:"Turn your backend into secure tools for AI agents.",lead:"Add an mcp block and any interface becomes a Model Context Protocol tool that Claude, Cursor and other agents can call â with the same authentication and validation as a normal HTTP route.",sections:[{heading:"One config, an API and an agent tool",body:"The interface you already built to serve HTTP can be exposed as an MCP tool at the same time. No second implementation, no separate tool server â the engine handles the MCP protocol for you.",points:["Works with Claude Desktop, Claude Code, Cursor and any MCP client","Reuses your per-request JWT / API-key auth","Same assertions and transforms guard agent calls"]},{heading:"Name the server, not just the tools",body:"Declare your server's title and description alongside the tools, and every client and registry reads them off the MCP handshake. Declare more than one and a single deployment publishes several endpoints, each with its own identity and its own subset of tools.",points:["Listing title and description come from the same config as the tools","One identity covers tools spread across many configs","Split customer-facing and internal tools onto separate MCP endpoints"]},{heading:"Safe by construction",body:"Agents only get what you declare. Your assertions, auth and network policy apply to MCP calls exactly as they do to HTTP â so an agent can't reach anything a normal client couldn't."}],faq:[{q:"What is MCP?",a:"The Model Context Protocol is an open standard for giving AI clients callable tools. An MCP tool is something an agent can invoke â reading a row, kicking off a job â rather than text it has to guess from."},{q:"How does auth work for MCP tools?",a:"Exactly as it does for HTTP. An MCP-exposed interface reuses the same per-request JWT or API-key checks, assertions and network policy, so an agent can't reach anything a normal client couldn't."},{q:"Which MCP clients are supported?",a:"Any MCP client â Claude Desktop, Claude Code and Cursor among them. Air Pipe implements the protocol, so the client is your choice."},{q:"Can I control how my server appears in a client or registry?",a:"Yes. Your config declares the server's title and instructions, and Air Pipe returns them on the MCP handshake â the only place registries such as mcp.so, Glama, Smithery and PulseMCP can read a remote server's listing description from. You can declare several named servers too, so one deployment publishes more than one endpoint, each with its own identity and tools."},{q:"Is this the same as managing Air Pipe from an AI client?",a:"No, and it's worth separating them. This page is about exposing your own interfaces as tools an agent can call. Air Pipe also has a management MCP for driving the platform itself from an AI client â a different thing in the other direction."}],docsUrl:"https://docs.airpipe.io/docs/configuration/mcp-tools"},{slug:"databases",path:"/features/databases",tagline:"Postgres, MySQL, SQL Server, Mongo.",seoTitle:"Instant REST API on Any Database â No ORM | Air Pipe",seoDescription:"Point Air Pipe at PostgreSQL, MySQL, SQL Server, SQLite or MongoDB and get a secured HTTP API â CRUD, queries and auth as readable config. No ORM needed.",eyebrow:"Databases",h1:"Point it at your database. Get an API.",lead:"Air Pipe speaks to relational and document databases natively. Write a query, add assertions and auth, and

28you have a production endpoint â no ORM, no Mongoose, no backend boilerplate.",sections:[{heading:"Relational and document, first-class",body:"PostgreSQL, MySQL/MariaDB, SQL Server and SQLite for relational; MongoDB for documents, including aggregation pipelines and vector search. Your data stays where it is â Air Pipe connects to it.",points:["SQL CRUD and parameterised queries as config","Mongo document operations and aggregation","pgvector and Atlas Vector Search for RAG"]},{heading:"No ORM, no glue code",body:"There's no model layer to maintain and keep in sync. The query is the source of truth; assertions validate input; transforms shape output. That's the whole backend."},{heading:"Secured and observable out of the box",body:"Every database-backed endpoint gets auth, validation, tracing, metrics and OpenAPI docs automatically â the same as any other Air Pipe interface."}],faq:[{q:"Which databases does Air Pipe support?",a:"PostgreSQL, MySQL/MariaDB, SQL Server and SQLite for relational work, and MongoDB for documents â including aggregation pipelines and vector search. They stay where they are; Air Pipe connects to them."},{q:"Do I need an ORM?",a:"No. You write the query you want in config, with parameters and assertions around it. There's no model layer to define and no migration framework to adopt."},{q:"Can Air Pipe connect to a database on my own network?",a:"Yes. Self-host the binary alongside the database and the connection never leaves your network â the config is identical to the managed one."},{q:"Is it safe against SQL injection?",a:"Queries take bound parameters rather than string-concatenated input, and you can assert on any input before it reaches the query."}],docsUrl:"https://docs.airpipe.io/docs/features/databases"},{slug:"auth",path:"/features/auth",tagline:"JWT, API keys, IP firewall.",seoTitle:"API Auth and Access Control as Config | Air Pipe Â· JWT",seoDescription:"Validate JWTs from Auth0, Clerk, Cognito, Firebase or Okta, add API keys, and apply per-route IP, geo and rate-limit rules â all as config. No auth service.",eyebrow:"Auth & access control",h1:"Auth and a firewall, without a separate service.",lead:"Validate JWTs against any provider, gate routes with API keys, and add a WAF-style network policy â IP rules, geo-blocking and rate limits â declaratively, on any endpoint.",sections:[{heading:"JWT verification against any provider",body:"Verify RS256/ES256/HS256 tokens against JWKS from Auth0, Clerk, AWS Cognito, Firebase or Okta â key rotation handled for you â or against static keys. One assertion, no auth microservice to build.",points:["JWKS with automatic key rotation","API-key auth for multi-tenant access","HMAC signature checks for Stripe / GitHub webhooks"]},{heading:"A network firewall on any route",body:"Declare a network policy that runs before any action: IP allow/deny (CIDR + IPv6), proxy-aware client-IP resolution, per-IP rate limiting and GeoIP/ASN blocking â in enforce or monitor mode."},{heading:"Governed, not bolted on",body:"Because access control lives in the same config as the endpoint, it's versioned, reviewable and deployed together â not scattered across a gateway, a sidecar and a separate auth service."}],faq:[{q:"Which identity providers can Air Pipe validate tokens from?",a:"Any provider that publishes JWKS â Auth0, Clerk, AWS Cognito, Firebase and Okta among them â using RS256, ES256 or HS256, with key rotation handled for you. Static keys work too."},{q:"Do I need a separate auth service or gateway?",a:"No. Token validation, API keys and network policy are assertions in the same config as the endpoint, so they're versioned and deployed with it rather than scattered across a gateway and a sidecar."},{q:"Can I rate-limit or geo-block a single route?",a:"Yes. A network policy runs before any action on that interface and can do IP allow/deny with CIDR and IPv6, per-IP rate limiting, and GeoIP or ASN blocking â in enforce or monitor mode."},{q:"Can I verify Stripe or GitHub webhook signatures?",a:"Yes â HMAC signature checks are assertions, so a webhook endpoint can reject anything that isn't genuinely from the sender."}],docsUrl:"https://docs.airpipe.io/docs/configuration/access-control"},{slug:"automation",path:"/features/automation",tagline:"Cron, flow control, durable state.",seoTitle:"Cron, Flow Control & Durable State as YAML | Air Pipe",seoDescription:"Cron schedules, branching, retries and durable state â as declarative YAML that ships OpenAPI, metrics and traces like every other endpoint. Start free.",eyebrow:"Automation",h1:"Automation you can run as a real backend.",lead:"Schedules, webhooks and multi-step flows share one declarative model with your database APIs. You're not bolting a second product onto a hand-rolled service, and you're not stuck in a canvas nobody can review in a pull request.",sections:[{heading:"Cron and HTTP, the same interface",body:"Any interface can run on a timezone-aware cron schedule instead of â or as well as â serving HTTP. Digests, polls and syncs are the same config as the endpoint next to them, with retries and backoff built in.",points:["Timezone-aware cron, with retry and exponential backoff","The same interface can serve HTTP, a webhook and a schedule","Durable API Polling and Daily Database Digest Email packs show the shape"]},{heading:"Branch, retry, delay, recover",body:"Flow control is declarative. Gate a step on whether earlier ones succeeded, failed or merely finished; branch on an assertion; pace work with a delay action; and proceed once a quorum of sources come back rather than waiting on all of them.",points:["run_when_succeeded, run_when_failed, run_when_finished","run_on_assertion for branching, at_least for quorum","Throttle and pace with the delay action; try/catch/finally recovery"]},{heading:"Cursors, dedupe and counters that survive",body:"Durable key/value state means real automation rather than

28in-memory demos. Keep a polling cursor, an idempotency key or a seen-set between runs, and read it inline in the config.",points:["get, set, advance and seen for cursors and dedupe","Read state inline as a|state::key|","Poll only what's new instead of reprocessing the batch"]},{heading:"Reach the rest of your stack",body:"Automation is only useful if it can touch things. Query your databases, call any HTTP API, run a command, send email over SMTP, and use Google and AWS cloud actions â then reshape what comes back with ordered transforms before the next step.",points:["SMTP email, HTTP, commands, databases and cloud inputs","Ordered post_transforms â extract, filter, group and more","Assert on any result before it reaches the next step"]},{heading:"Every scheduled run is traced",body:"A nightly job that fails should tell you which step failed, not just show a red badge. Scheduled runs emit the same OpenTelemetry traces and Prometheus metrics as any request, so automation is as observable as the rest of your backend."}],faq:[{q:"Can an Air Pipe interface run on a schedule?",a:"Yes. Any interface can run on a timezone-aware cron schedule, with retries and exponential backoff, using the same config that defines your HTTP endpoints. Scheduling isn't a separate product or a separate price."},{q:"How does flow control work without a canvas?",a:"It's declarative. Steps gate on whether earlier ones succeeded, failed or finished; run_on_assertion branches on a condition; a delay action paces or throttles work; and at_least lets you proceed once a quorum of sources succeed rather than blocking on all of them."},{q:"Does state survive between runs?",a:"Yes. Durable key/value state â get, set, advance and seen â persists across runs, which is what makes polling cursors, idempotency keys and dedupe sets work. You read it inline in the config as a|state::key|."},{q:"Can automations send email?",a:"Yes, over SMTP with any relay, or through an HTTP provider such as Resend. It's an action like any other, so it's traced like any other."},{q:"How is this different from a workflow canvas?",a:"The artifact. A canvas produces a diagram; Air Pipe produces a config that is also a deployable service â with auth, OpenAPI docs, metrics and traces â that you can diff and review in a pull request. The automation and the API are the same thing."}],docsUrl:"https://docs.airpipe.io/docs/configuration/scheduling"},{slug:"transforms",path:"/features/transforms",tagline:"Extract, filter, aggregate, hash â no code.",seoTitle:"Transform & Reshape API Data as Config â No Code | Air Pipe",seoDescription:"Reshape any action's data with an ordered post_transforms pipeline â extract, rename, filter, aggregate, hash, encrypt, sign JWTs â declaratively, with no mapping code.",eyebrow:"Transforms & flow",h1:"Reshape data in the pipeline â no glue code.",lead:"Every action can reshape what it returns with an ordered post_transforms pipeline â extract, rename, filter, aggregate, hash, encrypt â declaratively, before the data reaches the next step or the client. No mapping layer, no function in the middle to maintain.",sections:[{heading:"An ordered pipeline, not a mapping layer",body:"post_transforms is an ordered list of functions that run in sequence on an action's result â each step's output feeds the next. Pull a nested value out, keep only the fields you want, filter rows on a condition, group and aggregate â all as readable config you can review in a pull request.",points:["extract_value / extract_with_jq â pull out a path or reshape with jq","keep_attributes, rename_keys, remove_keys â shape the object","filter, group_by, math â select and aggregate rows"]},{heading:"Enrich and secure inline",body:"Transforms aren't only for shaping. The same pipeline can hash or encrypt a field, generate a password, or sign a JWT â so sensitive data is protected before it's ever stored or returned, without a separate service in the path.",points:["encrypt_value / decrypt_value and hashing for sensitive fields","generate_password and add_jwt for auth flows","Runs server-side, in the same config as the endpoint"]},{heading:"Composes with flow control",body:"Transforms shape the data; flow control decides what runs. Branch on an assertion, gate a step on whether earlier ones succeeded, retry with backoff, and keep durable state between runs â the automation those transforms feed into. Together they're a full pipeline in one declarative config."},{heading:"Reviewable, traced, no code",body:"Because a transform is config rather than code, it's diffable in a pull request and it ships the same OpenTelemetry traces and Prometheus metrics as everything else â so you can see exactly what each step did to the data, rather than guessing inside a black-box mapping function."}],faq:[{q:"What is a post_transforms block?",a:"An ordered list of transform functions attached to an action. Each runs in sequence on the action's result â extract, rename, filter, aggregate, hash, encrypt â so you reshape data without writing mapping code, and the output of one step feeds the next."},{q:"Can I use jq to reshape data?",a:"Yes. extract_with_jq reshapes with a jq expression, and extract_value pulls a value out by path. Alongside them are keep_attributes, rename_keys, remove_keys, filter, group_by and math for the common cases, so you rarely need jq at all."},{q:"Can transforms encrypt or hash data?",a:"Yes. encrypt_value / decrypt_value, hashing, generate_password and add_jwt run inside the same pipeline, so a sensitive field can be protected before it's stored or returned â no separate step or service in the path."},{q:"How is this different from flow control?",a:"Transforms reshape the data an action returns; flow control â branching, retries, gating and durable state â decides which steps run and when. They're separate blocks in the same config and compose together. The Automation page covers the flow-control side."}],docsUrl:"https://docs.airpipe.io/docs/features/transforms"},{slug:"realtime",path:"/features/realtime",tagline:"WebSockets & MQTT that run your logic.",seoTitle:"Realtime APIs â WebSockets & MQTT That Run Your Logic | Air Pipe",seoDescription:"Add realtime with WebSockets and MQTT â pub/sub, presence, history and retained messages â and run your own pipeline on every message. One vendor, managed or self-hosted.",eyebrow:"Realtime",h1:"Realtime that runs your logic on the message.",lead:"WebSockets and MQTT are first-class transports in Air Pipe â pub/sub with wildcards, presence, history-rewind and retained messages, on the same config that already serves your HTTP APIs. The difference from a realtime relay: the same connection can run your pipeline on every message â validate it, enrich it, write it to a database, call an API â and gate channels with your own auth.",sections:[{heading:"WebSockets and MQTT, both first-class",body:"One product speaks both. Browsers and apps connect over WebSockets; devices and IoT fleets connect over MQTT with real broker semantics â wildcards, retained messages, persistent sessions and QoS 0/1/2. Both run on one in-process broker per node, so you're not operating a separate message bus.",points:["WebSocket channel API â subscribe, publish, wildcards, retained","Full MQTT broker per node â sessions, QoS 0/1/2, retained","Global reach â nodes are geo-routed and fan out across a mesh"]},{heading:"Pub/sub with presence, history and retain",body:"The WebSocket channel API has the features you'd otherwise buy a dedicated realtime service for. Presence tracks who's on a channel with join/leave events and a cross-node member list. History lets a subscriber rewind the last N messages on connect. Retained hands every new subscriber the last value immediately. MQTT reaches the same delivery guarantees the native broker way â persistent sessions, QoS 1/2 and retained messages.",points:["Presence â enter/leave events and a live member list","History-rewind â replay the last N messages on subscribe","Retained â last value delivered on (re)subscribe, cross-node"]},{heading:"Run your logic on every message",body:"This is the part a relay can't do. A realtime service moves bytes between clients; Air Pipe can run your config on each message â assert on it, transform it, write it to Postgres or MongoDB, call an upstream API â before it fans out. Presence and history are queryable in your pipeline too, so a join or a replayed event can drive real backend logic, not just a client-side update."},{heading:"Realtime for your website's users â no org key in the browser",body:"Your app's end-users connect without your org API key. A browser opens a WebSocket with ?token=<jwt>, verified against your JWKS, a shared secret, or a token Air Pipe mints for you â then channels are gated by the user's claims with your pipeline logic as the ACL. Or make an interface public and connections need no credential at all. MQTT works the same way â anonymous/public or org-authenticated â so the open model spans both transports, and it's multi-tenant-safe: anonymous only reaches interfaces you mark public.",points:["WebSocket end-users bring their own JWT via ?token= â or a public interface needs no credential","Full auth ladder: open, Air Pipe-issued, shared-secret (HS256), or your JWKS (RS256/ES256)","MQTT too: anonymous/public interfaces, multi-tenant-safe; no org key in the browser"]},{heading:"One vendor, managed or self-hosted",body:"Transport, per-user auth, the compute that runs on each message, and billing are one product with one bill â not a relay plus your own backend plus the glue between them. Run it on our managed cloud or self-host the same single binary;

28 realtime runs on nothing-shared infrastructure either way, with no external broker or Redis to operate."}],faq:[{q:"Does Air Pipe support both WebSockets and MQTT?",a:"Yes â both are first-class transports on the same platform. Browsers and apps typically use the WebSocket channel API; devices and IoT fleets use MQTT with full broker semantics (wildcards, retained messages, persistent sessions and QoS 0/1/2). Both run on one in-process broker per node, so there's no separate message bus to operate."},{q:"How is this different from Ably or Pusher?",a:"On the realtime fundamentals â pub/sub, presence, history, retained messages, delivery and global reach â Air Pipe is at parity. The difference is what happens to a message: a relay moves it between clients, while Air Pipe can run your config on it â validate, enrich, write to a database, call an API â and use your own logic as the channel ACL. It's transport, per-user auth, compute and billing in one vendor rather than a relay you wire your own backend behind."},{q:"Can my website's users connect without an API key?",a:"Yes â on both transports. Over WebSockets, browser end-users connect with their own JWT via ?token=, which Air Pipe verifies against your JWKS, a shared secret, or a token it mints for you, then gates channels by the user's claims â no org key in the browser. Or go fully open: a public interface accepts connections with no credential at all. MQTT supports the same open/anonymous model on public interfaces (no password). Public access is multi-tenant-safe â anonymous connections reach only the interfaces you mark public, per-org limits still bound them, and a private topic is never exposed."},{q:"What does ârun your logic on the messageâ mean?",a:"The same connection that carries realtime traffic can run an Air Pipe pipeline on each message before it fans out â asserting on it, transforming it, writing it to Postgres or MongoDB, or calling an upstream API. Presence and replayed history events are available to that pipeline too, so realtime events can drive real backend logic rather than only client-side updates."},{q:"Can I self-host realtime?",a:"Yes. WebSockets and MQTT run on the same single self-hosted binary as the managed cloud, on nothing-shared infrastructure â there's no external broker or Redis to run alongside it. Self-hosted realtime connections aren't billed; managed connections draw request units for connection time and throughput."}]},{slug:"rag",path:"/features/rag",tagline:"On your database, embeddings stay put.",seoTitle:"RAG Chatbot on Postgres or MongoDB Atlas | Air Pipe",seoDescription:"Ship a retrieval-augmented chatbot on Postgres + pgvector or MongoDB Atlas Vector Search. Ingest, chat and history endpoints â managed or self-hosted.",eyebrow:"RAG",h1:"Ship a RAG chatbot on your database â embeddings stay yours.",lead:"Retrieval-augmented generation as ordinary endpoints on a database you already run. Ingest your documents, store the embeddings next to them, and answer questions from your own data â with no third-party vector store in the middle.",sections:[{heading:"RAG without a proprietary vector silo",body:"The embeddings live in your database, beside the documents they came from. There's no separate vector service to sync, secure, pay for, or explain to your compliance team â and nothing about your corpus has to leave your infrastructure.",points:["Postgres + pgvector, or MongoDB Atlas Vector Search","Documents and embeddings in one place, under your backup policy","Self-host it and the corpus never leaves your network"]},{heading:"Two paths, same shape",body:"The RAG Chatbot pack runs on Postgres with pgvector. The MongoDB Atlas Vector Search RAG pack does the same on Atlas. Fork whichever matches the database you already have â the endpoints look the same either way.",points:["RAG Chatbot â Postgres + pgvector with OpenAI embeddings","MongoDB Atlas Vector Search RAG â the Atlas path","LLM Gateway â a companion pack for completion and moderation"]},{heading:"Ingest, chat, history, delete",body:"A chatbot is a handful of endpoints, so that's what you get: seed and ingest documents, chat against them, read history, and delete. They're readable config â extend them like any other Air Pipe interface."},{heading:"Observable, like every other endpoint",body:"Retrieval is where RAG quietly goe

28s wrong. Every call ships OpenTelemetry traces and Prometheus metrics automatically, so you can see what was retrieved and how long it took â rather than guessing why an answer was poor."}],faq:[{q:"Do my embeddings leave my infrastructure?",a:"Not if you self-host. Embeddings are stored in your own database next to the source documents, so they stay wherever that database runs. Generating embeddings calls whichever model provider you configure â that call leaves your network; where the vectors live afterwards does not."},{q:"Should I use pgvector or MongoDB Atlas Vector Search?",a:"Use whichever database you already run. Both paths ship as marketplace packs with the same endpoint shape, so the decision is about your existing stack and operational comfort rather than about Air Pipe."},{q:"Can I self-host a RAG chatbot?",a:"Yes. The same config runs on the managed cloud or on the single self-hosted binary, so you can keep the documents, the embeddings and the database entirely on your own infrastructure."},{q:"Which model providers can I use?",a:"The packs use OpenAI embeddings by default. The model, the API key and the system prompt are configuration, so you can point them at another provider without changing the endpoint shape."}],docsUrl:"https://docs.airpipe.io/docs/examples/marketplace/rag-chatbot"},{slug:"self-hosted",path:"/features/self-hosted",tagline:"One binary, your infrastructure.",seoTitle:"Self-Hosted API Platform â Single Binary | Air Pipe",seoDescription:"Run Air Pipe on your own VM, host or container as a single Rust binary. Same YAML config as managed cloud. Linux, macOS, Windows. Your data stays yours.",eyebrow:"Self-hosted",h1:"Self-host Air Pipe as a single binary â or let us run it.",lead:"One compiled binary, no sidecars and no agents. Run it on your VM, your container platform or your laptop â the same config you'd deploy to our managed cloud, on infrastructure you control.",sections:[{heading:"Why self-host",body:"Because the data can't leave, or because you'd rather own the runtime. Your databases, your documents and your embeddings stay on your own network, and the config that describes them is a file in your repository.",points:["Your data and embeddings stay on your infrastructure","No sidecars, no agents, no separate collector to run","The config is reviewable in a pull request like any other code"]},{heading:"Install where you already deploy",body:"Linux, macOS, Windows or a container. Linux is the recommended production target. Binaries are published for each platform â install it, point it at a config, and it serves.",points:["Linux, macOS, Windows and container install paths","A single compiled binary â nothing else to schedule","SQLite REST API Starter is a self-hosted-only pack for local-first work"]},{heading:"Same config, either way",body:"Self-hosted and managed run the same declarative config, so moving between them is a deployment decision rather than a rewrite. Observability behaves identically: OpenAPI, Prometheus metrics and OpenTelemetry traces are generated either way."},{heading:"What self-hosting still needs",body:"Self-hosted mode is not disconnected by default: you register an account and generate an API key, and the binary uses it. Request units are metered separately from managed ones, with their own monthly free allowance. Air-gapped deployment is an Enterprise arrangement â talk to us rather than assuming it."}],faq:[{q:"Is Air Pipe really a single binary?",a:"Yes. Self-hosted Air Pipe is one compiled Rust binary with no sidecars, agents or separate collectors to run. You install it, give it a config, and it serves the interfaces that config defines."},{q:"Which platforms can I install on?",a:"Linux, macOS, Windows and containers. Linux is the recommended target for production deployments unless you have a specific reason to use another operating system."},{q:"Does self-hosting need an Air Pipe account?",a:"Yes. You register an account and generate an API key, which the self-hosted binary uses. If you need a fully air-gapped deployment, that's an Enterprise arrangement â please contact us rather than assuming it works out of the box."},{q:"Is self-hosted priced differently to managed?",a:"Self-hosted requests draw down a separate self

28-hosted unit balance, with its own monthly free allowance, and you can use managed and self-hosted at the same time. See the pricing page for the current numbers."},{q:"Do I get the same features as managed?",a:"The same config runs on both, and observability â OpenAPI, metrics and tracing â is generated the same way in each. Governance features such as SSO and audit logs are tied to your plan rather than to where the runtime happens to be."}],docsUrl:"https://docs.airpipe.io/docs/install"},{slug:"api-testing",path:"/features/api-testing",tagline:"Postman-style client, tests saved & run.",seoTitle:"API Testing & a Postman-style Client, Built In | Air Pipe",seoDescription:"Test your APIs inside Air Pipe â a Postman-style client with saved collections, variables and server-side runs, plus assertions that pass or fail on each response.",eyebrow:"API testing",h1:"Test your APIs where you build them.",lead:"Air Pipe ships a request client, so you don't reach for a separate app to hit your endpoints. Save requests into collections, fire them at your live deployment, and attach assertions that pass or fail on every run â with the requests and their tests stored in the platform, not on someone's laptop.",sections:[{heading:"A request client that already knows your API",body:"Build and save requests the way you'd expect â method, URL, headers, query params and body â organised into collections and folders. Seed a request straight from an interface in your deployed config, so you're testing the endpoint you actually shipped rather than retyping it.",points:["Collections and folders for your saved requests","One-click seed from your deployed config's interfaces","Bearer, Basic and API-key auth, with {{variable}} placeholders"]},{heading:"Assertions that pass or fail on every run",body:"Attach checks to a request and Air Pipe evaluates them each time it runs, against the response status, body fields and headers. A run comes back green or red with a count of what passed and failed â so a saved request doubles as a regression test, not just a one-off call.",points:["Assert on status, body.* and headers.*","Conditions like equals, contains, regex, is a UUID, greater / less than","Pass / fail result with passed and failed counts"]},{heading:"The same checks that guard your endpoints",body:"The assertion conditions your tests use are the same ones Air Pipe runs inside a config's assert block on live traffic. A test isn't a separate testing language to learn â it's the runtime's own validation, pointed at a saved request and recorded."},{heading:"Runs on the server, recorded every time",body:"Requests run server-side against your staging or production deployment â no browser CORS, no local proxy â and every run is kept with its status, HTTP code, latency and time. Because the collections live in your organization, your team sees the same requests and the same history.",points:["Run against staging or production deployments","Server-side execution, not from your browser","Run history per request, shared across your org"]}],faq:[{q:"Is this a replacement for Postman or Bruno?",a:"For testing your Air Pipe APIs, largely yes â you get a request client with saved collections, variables and auth without installing anything. The difference is that the requests and their assertions live in your Air Pipe organization, run server-side against your deployments, and are shared with your team."},{q:"Where are my saved requests and tests stored?",a:"In your Air Pipe organization, alongside the config they test â not in a local app or a personal cloud account. Anyone on the team with access sees the same collections and the same run history."},{q:"What can an assertion check?",a:"The response status, any field in the body, and any header â using conditions such as equals, not-equals, contains, starts/ends with, regex, is-a-UUID, is-an-array, is-null and numeric greater/less than. Each request can carry several, and they're evaluated together on every run."},{q:"Where do the tests actually run?",a:"Server-side. Air Pipe runs the request against your selected deployment and evaluates the assertions there, so there's no browser CORS to fight and no local runner to keep alive. The result and timing are recorded in the request's run history."},{q:"Can I test against staging and production?",a:"Yes. Pick the environment on the request and it runs against that deployment. Variables let you keep the same request pointed at different environments without rewriting URLs or tokens."}]},{slug:"agents",path:"/features/agents",tagline:"A model, your tools, one action.",seoTitle:"Build AI agents on a real backend â tools, schemas, traces | Air Pipe",seoDescription:"An agent is one action in an Air Pipe config: a model, a tool loop over your own interfaces, and a schema the provider enforces. Every call traced, every tool already a real API. Start free.",eyebrow:"Agents",h1:"Agents with tools that are already a real backend.",lead:"An agent is a model that calls your interfaces as tools, in a loop, until it has an answer. In Air Pipe that is one action â with memory, a bounded loop, and an answer whose shape the provider enforces. The tools it calls are the same routes your apps call, with the same auth, the same validation and the same traces.",sections:[{heading:"One action, not a framework",body:"The agent action takes a model endpoint, a list of tools and an input. `tools:` names interfaces in the same config, so there is no adapter layer, no tool registry to maintain and no separate service to deploy alongside the API. The loop runs

28inside the request that started it.",points:["`tools:` references interfaces in the same config","Tool input schemas are derived from the `assert` tests those interfaces already carry","No second copy of the schema to keep in step with the route"]},{heading:"Any provider that speaks the OpenAI shape",body:"Which is, in practice, all of them. The `url` is yours to point: OpenAI, Gemini's compatible endpoint, Anthropic, OpenRouter, Groq, DeepSeek, Mistral, Azure, or a model you host yourself with Ollama. Changing provider is changing a URL and a model name, not rewriting the agent.",points:["Swap provider without touching the tools or the flow around them","Self-hosted models work the same way â nothing has to leave your network","Keys live in managed variables or secrets, never in the config text"]},{heading:"It remembers, and it can borrow tools",body:"An agent forgets between requests unless you tell it not to. `memory:` takes a `key` that scopes the conversation â one per user, per session, per ticket â and a `window` that bounds how many turns are replayed, so a long-running thread cannot grow without limit. Separately, `mcp:` draws tools from a remote MCP server in addition to your own interfaces: they are discovered at run time, so the model is offered whatever that server publishes today rather than whatever it published when you wrote the config.",points:["`memory.key` scopes a conversation; `memory.window` bounds the replay","`mcp:` adds tools from a remote server alongside your own interfaces","A remote tool whose name collides with one of yours is refused, never silently shadowed","`max_iterations` caps the model round trips â default 4, ceiling 12, and hitting the budget is reported rather than silent"]},{heading:"A shape the model cannot break",body:'A model asked for JSON in a prompt will usually return JSON. `schema:` removes the "usually": the schema is sent to the provider, which enforces it, so `content` holds a parsed object rather than a string. There is nothing to validate afterwards and nothing to retry. If an endpoint ignores the field, the action fails and names the likely cause rather than passing prose on to whatever runs next.'},{heading:"The part most agent stacks leave to you",body:"An agent that can act needs auth in front of it, a schedule or a webhook to start it, a database behind it, a human in the loop for the risky step, and traces when it does something surprising. Those are not add-ons here â they are the same config the agent lives in, and every tool call produces an OpenTelemetry span and Prometheus metrics without instrumentation code.",points:["JWT verification and network access control guard agent-callable routes","Cron, webhooks and durable jobs start and resume the work","Human approval steps for anything you would not let a model do unattended","Traces, metrics and OpenAPI docs generated from the same config"]}],faq:[{q:"Is this an agent framework like LangGraph or CrewAI?",a:"It is a single-agent runtime rather than an orchestration framework. One agent gets a model, tools, memory, a bounded loop and an enforced output shape â which is most of what a working agent needs. What it does not do is orchestrate several agents handing work between each other. If you want that, keep your framework and give it Air Pipe tools over MCP; the difference is that here the agent, the tools it calls and the API in front of it are one deployable artifact rather than three."},{q:"How does the model know what my tools do?",a:"The tool signature is generated from the interface's own `assert` tests â the test vocabulary for types, patterns, ranges and formats maps to JSON Schema. Write clear assertions and the agent gets an accurate signature for free, one that cannot drift from what the route really validates."},{q:"Can I stop an agent from calling something destructive?",a:"Yes, in the ordinary way rather than a special one. A tool is an interface, so it carries whatever auth, access control and assertions you give it, and anything genuinely irreversible can sit behind a human approval step that the agent cannot skip."},{q:"What does a failed agent run look like afterwards?",a:"A trace, with a span for the agent action and a child span for each tool call it made, plus the run history for the deployment. You can see which tool it called, with what, and what came back â rather than

28inferring it from a transcript."}],docsUrl:"https://docs.airpipe.io/docs/features/agents"}],k3=Object.fromEntries(ga.map(e=>[e.slug,e])),He=[{slug:"workflow-automation-on-kubernetes",path:"/blog/workflow-automation-on-kubernetes",title:"Workflow automation on Kubernetes that scales",description:"Run scheduled jobs, webhooks and APIs on Kubernetes from one config. Scale with kubectl: cron coordination, health probes and pod discovery are built in.",date:"2026-08-10",updated:"2026-08-12",tags:["kubernetes","automation","scheduling","self-hosted","config"],image:"/blog-covers/workflow-automation-on-kubernetes.svg",featured:!0,pack:{slug:"kubernetes-service-discovery",path:"/marketplace/pack/kubernetes-service-discovery",name:"Kubernetes Service Discovery",description:"Discover your own Kubernetes pods and act on every one of them - list them by label with node, image and readiness, health-check each replica, and broadcast a call to the whole Deployment."},relatedPacks:[{slug:"container-service-discovery",path:"/marketplace/pack/container-service-discovery",name:"Container Service Discovery",description:"Find the containers behind a service - by DNS, by Docker or

28Compose label, or from an explicit list - then do something to every one of them. Scale a Compose service and the new container is discovered automatically."},{slug:"scheduled-cleanup",path:"/marketplace/pack/scheduled-cleanup",name:"Scheduled Cleanup",description:"Nightly job that deletes rows older than 30 days and posts a Slack summary. Demonstrates a cron schedule on an interface."},{slug:"durable-api-polling",path:"/marketplace/pack/durable-api-polling",name:"Durable API Polling",description:"Poll an API on a schedule and process only new items, retrying only the items that fail â never the whole batch and never silently dropping a failure. Durable id-based dedupe via the state feature plus lookup_partition per-item retry. Includes a self-contained demo and a production poller template."}],readingMinutes:11,sections:[{heading:"The failure you're trying to avoid",body:"Three replicas, one cron line. Each pod holds its own copy of the config, so each pod's scheduler sees that line and wants to run it. Without coordination, all three do."},{heading:"Deploy it",body:"One manifest: a namespace, a throwaway Postgres, the RBAC for pod discovery, a headless Service for the mesh, a config with two routes, and the Deployment at three replicas. Replace the API key and apply it."},{heading:"Check it works",body:"Every replica health-checks every other replica, itself included:"},{heading:"Step 1 â Say that it is a cluster",body:'One declaration on every pod, meaning "this agent is one of several serving the same configs". The nodes then race for a durable claim on (config, interface, minute) in Postgres, and exactly one wins. The other two skip the tick.'},{heading:"Step 2 â Probes that don't cost you anything",body:'/livez answers as soon as the process is up. /readyz answers once configs are loaded, and returns 503 with "starting" until then â which is what stops the Service sending traffic to a pod that has nothing to serve yet.'},{heading:"Step 3 â Configs from a ConfigMap",body:"Worth knowing what Kubernetes actually mounts here, because it bites more tools than it should: a ConfigMap volume is not a directory of files. It's a symlink farm â ..data pointing at a timestamped directory, and one symlink per key."},{heading:"Step 4 â Scale out",body:"The manifest already runs three, so go further:"},{heading:"Step 5 â Realtime across pods",body:"The one thing that genuinely needs wiring: a WebSocket publish arrives at whichever pod the load balancer picked, but its subscribers are spread across every pod."},{heading:"Step 6 â Let a workflow see the cluster",body:"This is the part with no equivalent elsewhere. A discover action returns the live members of a service as an array, and lookup: fans actions out across all of them:"},{heading:"What you get without asking",body:"From the same config, no extra deployment: an OpenAPI document generated from the assert tests, Prometheus metrics per route, and an OpenTelemetry trace per request showing each action and how long it took. When a nightly job gets slow, the trace says whether it was your database or the API you called, before you start guessing."},{heading:"The shortcut",body:"Everything in step 6 ships as one pack â Kubernetes Service Discovery â with four routes: list pods by label with node, image and readiness, find peers by DNS with no RBAC at all, health-check every replica, and broadcast one call to the whole Deployment. Install it, apply the RoleBinding above, and the routes work against your own cluster."},{heading:"Things that will bite you",body:"sessionAffinity: ClientIP will pin you to one pod. It's a reasonable-looking default that quietly turns three replicas into one â a load test looked beautifully stable until we noticed 12 of 12 requests hit the same pod. Leave it None unless you specifically need stickiness."}]},{slug:"ai-api-with-google-gemini",path:"/blog/ai-api-with-google-gemini",title:"Build an AI API with Google Gemini",description:"Wrapping Gemini in an endpoint takes ten lines. Doing it without leaving your API key open to the internet takes a few more â here are both.",date:"2026-08-01",tags:["ai","api","config","auth"],image:"/blog-covers/ai-api-with-google-gemini.svg",featured:!1,pack:{slug:"gemini-ai",path:"/marketplace/pack/gemini-ai",name:"Gemini AI",description:"Query Google's Gemini models over a simple HTTP API. Three routes: the full generateContent payload, just the answer text, or an instruction-prefixed answer. The API key and model are managed variables, so you can swap models without redeploying; the prompt is JSON-escaped before it hits the Gemini API."},relatedPacks:[{slug:"llm-gateway",path:"/marketplace/pack/llm-gateway",name:"LLM Gateway",description:"A configurable LLM completion and content-moderation endpoint. System prompt, model, and API key live in managed variables â swap providers or update prompts without touching the config or redeploying. Exposes POST /ai/complete (chat completion) and POST /ai/moderate (OpenAI moderation, free) with request validation and per-model metrics."},{slug:"rag-chatbot",path:"/marketplace/pack/rag-chatbot",name:"RAG Chatbot",description:"Retrieval-Augmented Generation chatbot backed by Postgres + pgvector. Ingest your own documents, store OpenAI embeddings alongside them, and answer questions using only your data â no third-party vector DB, no proprietary cloud, nothing leaves your infrastru

28cture. Includes seed, ingest, chat, history, and delete endpoints."},{slug:"rate-limited-api",path:"/marketplace/pack/rate-limited-api",name:"Rate Limited API",description:"A public endpoint rate-limited to 10 requests/min per IP. Demonstrates the native network rate_limit policy."}],readingMinutes:3,sections:[{heading:"Step 1 â Key and model, as variables",body:"Create a key at aistudio.google.com/app/apikey, then set two managed variables:"},{heading:"Step 2 â The endpoint",body:"->json_escape is not optional. The request body is JSON being assembled from user input, so a prompt containing a quote character produces malformed JSON and a 400 from Google â and a prompt built to close the string early could append fields to the payload you never intended to send. The escape runs before substitution, which turns that from a live problem into a non-issue. Any user text going into a JSON body needs it."},{heading:"Step 3 â Return an answer, not a payload",body:"Gemini's response is deeply nested â candidates, parts, safety ratings, token counts. Useful when you want it, noise when you don't:"},{heading:"Step 4 â Constrain the answer",body:"The cheapest way to control output is to prepend an instruction to every prompt:"},{heading:"Step 5 â Don't ship it open",body:"Here's where the tutorial version stops and the real one starts. What you have so far is a public URL that spends your money. Two things fix it."},{heading:"Step 6 â Watch what it costs you",body:`LLM endpoints fail differently to normal ones. They rarely go down; they go slow, and the slowness is the model's, not yours. Every request produces a trace showing the Gemini call as its own span, so "is it us or them" is a question you answer by looking rather than guessing. Prometheus metrics per route give you the request rate to compare against your quota before you hit it.`},{heading:"The gotcha that looks like a bug",body:"A 429 with limit: 0 in the error body is not rate limiting. It means the model you asked for isn't on your key's free tier at all â gemini-2.0-flash often isn't. Switch GEMINI_MODEL to gemini-2.5-flash or gemini-flash-latest, or enable billing. Because the model is a managed variable, that's a one-field change with no redeploy."},{heading:"The shortcut",body:"All three variants ship as one pack â full payload, text-only, and the instruction-prefixed version. Set two variables and deploy."}]},{slug:"mongodb-atlas-rest-api",path:"/blog/mongodb-atlas-rest-api",title:"A MongoDB Atlas REST API with no backend to write",description:"CRUD, bcrypt-hashed passwords and real aggregation pipelines over an Atlas cluster â from config. No ORM, no Mongoose, no server to deploy.",date:"2026-08-01",tags:["mongodb","api","config","auth"],image:"/blog-covers/mongodb-atlas-rest-api.svg",featured:!1,pack:{slug:"mongodb-atlas-backend-rest-api",path:"/marketplace/pack/mongodb-atlas-backend-rest-api",name:"MongoDB Atlas Backend / REST API",description:`A production-shaped REST API over a **MongoDB Atlas** database â CRUD for users, posts, and categories, optional JWT validation, and a set of **aggregation-pipeline analytics** endpoints. No ORM, no Mongoose, no backend boilerplate: point AirPipe at your Atlas connection string and you have an API.
29
30> Already on the Next.js + MongoDB stack? This is the missing backend. Deploy it over your existing Atlas cluster and start making requests in under 10 minutes.
31`},relatedPacks:[{slug:"mongodb-atlas-vector-search-rag",path:"/marketplace/pack/mongodb-atlas-vector-search-rag",name:"MongoDB Atlas Vector Search RAG",description:"Retrieval-Augmented Generation chatbot backed by MongoDB Atlas Vector Search. Ingest your own documents, embed them with OpenAI, and answer questions with $vectorSearch â your documents and their embeddings live in one database, no separate vector store. The Atlas-native companion to the pgvector AI RAG Chatbot."},{slug:"rest-api-starter",path:"/marketplace/pack/rest-api-starter",name:"REST API Starter",description:"A production-shaped CRUD API over Postgres with three resource types (users, posts, comments) and optional JWT validation. No external services required â just a Postgres database. Deploy and start making requests in under 10 minutes."},{slug:"jwt-verification-starter",path:"/marketplace/pack/jwt-verification-starter",name:"JWT Verification Starter",description:"Verify JWTs three ways - against a provider's JWKS (Auth0,

31Clerk, Cognito, Firebase), a static PEM public key, or an HS256 shared secret - then protect a real per-user Postgres resource scoped to the token's sub claim. Reference endpoints for every is_valid_jwt mode plus a working, owner-scoped notes API and a one-call multi:true migration."}],readingMinutes:5,sections:[{heading:"Step 1 â The Atlas cluster",body:"If you already have one, skip to step 2. Otherwise:"},{heading:"Step 2 â One managed variable",body:"| Name | Value | |---|---| | MONGODB_URI | the SRV string from step 1 |"},{heading:"Step 3 â Your first endpoint",body:"Declare the database once, then each interface is a route:"},{heading:"Step 4 â Writes, with validation that documents itself",body:"Those assert tests aren't only guards â they generate the OpenAPI request body. The description: on each becomes the field description in the published schema, so the docs stay correct because they're the same declaration that does the validating. There's no second place to update."},{heading:"Step 5 â Passwords, done properly",body:"This is where hand-rolled tutorials usually hand-wave. Hashing happens as a transform between validation and insert:"},{heading:"Step 6 â Aggregation, which is the actual reason to use Mongo",body:"Everything so far is CRUD, and CRUD looks the same on any database. This part doesn't."},{heading:"Step 7 â Locking it down",body:"Air Pipe validates JWTs; it doesn't mint them. Your app already issues tokens, so validation is the first action and everything else waits on it:"},{heading:"What comes with it",body:"From the same files, no extra work: an OpenAPI document generated from the assert tests and response_example blocks, Prometheus metrics per route, and an OpenTelemetry trace per request showing each action and how long the Mongo call took. When an aggregation gets slow, the trace tells you whether it's the pipeline or the network before you start guessing."},{heading:"The shortcut",body:"All of it ships as one pack â users, posts and categories CRUD, the four aggregation endpoints, the JWT pattern, and a seed endpoint that loads sample data so the analytics have something to chew on. Set MONGODB_URI, deploy, call /api/seed."},{heading:"Things that will bite you",body:"$set overwrites. MongoDB update semantics replace the fields you send rather than merging, so the update endpoints require the full set of fields you want changed. There's no COALESCE-style partial update. No reference integrity. A post's author and category are plain strings; Mongo won't check they point at a real user or category. That's the trade for schema flexibility, and keeping them consistent is your application's job. Human keys, not ObjectIds. Lookups use username and slug rather than _id, which keeps URLs readable and avoids ObjectId casting on every request. Both need a unique index in Atlas â add one, because nothing else will stop a duplicate."}]},{slug:"build-your-own-mcp-server",path:"/blog/build-your-own-mcp-server",title:"How to build your own MCP server",description:"A complete walkthrough â database, schema, config, token, client â that ends with Claude querying your own data. No SDK, no Node project, no server to host.",date:"2026-07-31",tags:["mcp","api","config","auth","postgres"],image:"/blog-covers/build-your-own-mcp-server.svg",featured:!1,pack:{slug:"mcp-postgres-starter",path:"/marketplace/pack/mcp-postgres-starter",name:"MCP Postgres Starter",description:"Turn your Postgres data into secure MCP tools any AI client (Claude Desktop, Claude Code, Cursor) can call. Two-tier auth: one shared token for yourself, or per-user tenant-scoped tokens for your customers - minted via an HS256 exchange or verified directly against your OIDC provider's JWKS (Auth0, Clerk, Cognito). Every tool reuses the same in-config token checks as a normal Air Pipe route. Tool discovery (tools/list) is gated behind the same per-user token via list_authorizer, so unauthenticated clients cannot enumerate your tools or their input schemas (engine >= 1.7.0)."},relatedPacks:[{slug:"mcp-quickstart",path:"/marketplace/pack/mcp-quickstart",name:"MCP Quickstart",description:"The smallest useful MCP server: two tools over one Postgres table, guarded by a single shared token, in one config file. Point Claude Desktop, Claude Code, Cursor or any MCP client at your database with no SDK, no Node project and nothing to host. An Air Pipe interface is an HTTP route; add an mcp block and the same interface is also an MCP tool, secured by the same in-config token check. Tool discovery (tools/list) is gated by that same token via list_authorizer, so an unauthenticated client cannot even enumerate your tools or their input schemas. Includes a seed endpoint that creates the table and sample data in one curl."}],readingMinutes:9,sections:[{heading:"Step 1 â Get a Postgres database",body:"If you already have one, skip ahead. If not, any of these work and all have a usable free tier:"},{heading:"Step 2 â Create the schema",body:"Three tables. Only one of them is your data:"},{heading:"Step 3 â Set two variables",body:"In the Air Pipe dashboard, under your environment's managed variables (or as ap_vars if you're self-hosting):"},{heading:"Step 4 â Write the config",body:"Here's the whole thing. One file, two tools."},{heading:"Step 5 â Deploy",body:`On managed Air Pipe, paste the file into the dashboard editor and hit deploy â that validates it on the way in. If you're using the Air Pipe MCP tools from your own AI client, "validate and deploy this config" does the same from the chat, and installing the pack (below) does it without either.`},{heading:"Step 6 â Mint a token",body:"Once, at jwt.io: algorithm HS256, secret = your SOLO_SECRET, payload:"},{heading:"Step 7 â Verify it before you touch the client",body:`Debugging through an MCP client is miserable â a failure shows up as "the tool didn't work." Check with curl first. MCP is JSON-RPC over HTTP, so you can drive it directly:`},{heading:"Step 8 â Point Claude at it",body:'Claude Desktop keeps this at ~/Library/Application Support/Claude/claudedesktopconfig.json on macOS and %APPDATA%\\Claude\\claudedesktopconfig.json on Windows. Claude Code: claude mcp add --trans

31port http my-tasks https://your-airpipe-host/<org>/<env>/mcp --header "Authorization: Bearer <token>".'},{heading:"Give the server a name, not just tools",body:"Every client calls initialize before it lists anything, and that response is where the server says who it is. Skip it and yours introduces itself with a built-in name and no description â a listing that's a bare label above a wall of tool descriptions. That's what mcp_servers at the top of the config fixes:"},{heading:"The hole most MCP servers have",body:"Worth knowing regardless of what you build with: tools/call runs your code, tools/list doesn't."},{heading:"Now the part that matters: your customers",body:"Everything above is one token, one grant â everyone who holds it sees every row. Right for pointing an AI at your own database. Useless the moment you have users."},{heading:"The shortcut",body:"Everything on this page ships as one pack, both tiers, tested end to end â the schema, the seed endpoint, the single-token tools, the tenant-scoped tools, the discovery gate, the token lifecycle routes, and the OIDC variant. Fork it, set two variables, deploy."}]}],x3=Object.fromEntries(He.map(e=>[e.slug,e])),A3=He.find(e=>e.featured)||He[0]||null,xt=[{slug:"zapier-alternative",path:"/compare/zapier-alternative",seoTitle:"Air Pipe: a Zapier alternative for developers | Real backend",seoDescription:"A real backend on your own database â traced, documented, billed per request not per task. 3,000 requests a month free, where Zapier's free tier is 100 tasks.",eyebrow:"Air Pipe vs Zapier",h1:"A Zapier alternative whose workflows are real backends.",lead:"Air Pipe runs the work you would put in Zapier â schedules, webhooks, multi-step flows â and what you ship at the end is a real service: your own database, your own auth, an OpenAPI document and a trace for every request. Billed per request, not per task.",sections:[{heading:"Workflows that are real backends",body:"Cron schedules, webhooks and branching flows are the same declarative config as your HTTP endpoints â with your database behind them, auth in front, and durable state between runs. You get the automation and the service, not one bolted onto the other.",points:["Cron schedules, retries with backoff, branching and durable state","Your own Postgres / MySQL / Mongo, not only SaaS connectors","Config you own and can review in a pull request"]},{heading:"Observable by default",body:"Every endpoint ships OpenTelemetry traces, Prometheus metrics and OpenAPI docs automatically. You can see exactly what ran and why â instead of debugging a run history in a dashboard."},{heading:"Priced per request, not per task",body:"Zapier bills per action, so a three-step Zap costs about two tasks every run. Air Pipe charges one request unit for the whole request â a trigger plus up to 1000ms of execution â however many steps run inside.",points:["Zapier Professional: $19.99/mo billed yearly for 750 tasks â roughly 375 runs","Air Pipe Starter: $19/mo for 5,000 requests â about 13Ã the runs at the same price","Free tiers: Zapier gives 100 tasks a month and two-step Zaps only. Air Pipe gives 3,000 full requests, no step limit"]},{heading:"You don't have to write the config",body:"Describe the automation in plain English and Air Pipe generates the config, then you deploy it. The same is true of the marketplace: fork a pack, set two variables, run it. What you end up with is still a readable file you can diff and review â the difference from a canvas is that a non-engineer can produce it and an engineer can still audit it."},{heading:"Your data, your infrastructure",body:"Run on our managed cloud or self-host the single binary anywhere. Your data stays on your infrastructure â a different trust model from a fully hosted SaaS."},{heading:"Realtime your app's users connect to",body:"The same backend also serves realtime â WebSocket and MQTT pub/sub with presence, history-rewind and retained messages â that your website's users subscribe to directly. A SaaS-automation tool moves data between apps on triggers and schedules; it doesn't give your product a realtime channel layer. In Air Pipe it's the same config that serves your endpoints, and your pipeline runs on every message.",points:["WebSocket channels and a real MQTT broker in the same config","Presence, history-rewind, retained â your logic runs on each message","End-users connect with their own token, or fully open â no org key in the browser"]},{heading:"When Zapier is the better answer",body:"If your automation is mostly gluing SaaS products together â a form to a spreadsheet to a chat message â Zapier's connector library is thous

31ands deep and we don't claim parity on it. Air Pipe is the better fit when the automation has quietly become part of your product: a real endpoint, on your own database, that you can trace, review and put behind auth."}]},{slug:"n8n-alternative",path:"/compare/n8n-alternative",seoTitle:"Air Pipe: an n8n alternative | Backend as config, observable",seoDescription:"n8n gives you a node canvas you can self-host. Air Pipe gives you a real backend as config â observability built in, 3,000 requests a month free.",eyebrow:"Air Pipe vs n8n",h1:"An n8n alternative whose workflows ship as services.",lead:"Air Pipe is a backend you describe in config: the file that runs your schedules and flows also publishes a documented HTTP API, Prometheus metrics and an OpenTelemetry trace for every request. Managed or self-hosted, with 3,000 requests a month free â n8n Cloud has no free tier.",sections:[{heading:"Config, not a canvas of nodes",body:"Air Pipe endpoints are readable config â build them from a prompt, by hand, or visually, all producing the same thing the engine runs. Diff them, review them, deploy them like code.",points:["Interfaces and actions as versioned config","The same config serves HTTP and MCP tools","Auth, assertions and a network firewall inline"]},{heading:"Observability without wiring it up",body:"Traces, metrics and OpenAPI docs are generated for every endpoint automatically â no extra nodes, no separate instrumentation to maintain."},{heading:"Priced per request â and free where n8n Cloud isn't",body:"n8n Cloud has no free tier; every plan starts as a trial. Their cheapest paid plan, Starter, is â¬20 a month billed annually for 2,500 workflow executions. Air Pipe's free tier is 3,000 requests a month, every month â more monthly volume than n8n's entry paid plan, for nothing. Past that, a request unit covers a request up to a second, so a five-minute polling loop that would burn thousands of executions barely registers here. (n8n figures from their pricing page on 30 July 2026, annual-billing toggle; monthly is around 20% higher. Compared per run, on sub-second workflows.)",points:["3,000 requests a month, free and permanent â not a trial","Durable polling processes only new items, so a fast schedule costs almost nothing","Paid units roll over for 12 months instead of expiring at month end"]},{heading:"A realtime backend, not just an inbound trigger",body:"n8n can start a workflow from a webhook or an incoming MQTT message. Air Pipe goes further â it is the realtime layer your app connects to: WebSocket and MQTT pub/sub with presence, history-rewind and retained messages, served to your users from the same config, with your pipeline running on each message. Realtime out to your users, not only a trigger coming in.",points:["WebSocket channels and a full MQTT broker your users connect to","Presence, history-rewind, retained â your logic runs on each message","End-users connect with their own token, or fully open â no org key in the browser"]},{heading:"When n8n is the better answer",body:"If a visual canvas is how your team wants to build and reason about automation, that is n8n's design centre and it self-hosts properly. Air Pipe suits you when the thing you want at the end is a service: an HTTP or MCP endpoint with auth, docs and traces, that happens to run on a schedule too."},{heading:"Managed or self-hosted",body:"Run the single cross-platform binary yourself, or use the managed cloud. Either way your data stays on infrastructure you control."}]},{slug:"gumloop-alternative",path:"/compare/gumloop-alternative",seoTitle:"A Gumloop Alternative for AI on Your Own Data | Air Pipe",seoDescription:"Gumloop builds AI workflows on a no-code canvas. Air Pipe ships AI features as backend endpoints â RAG, LLM gateway and MCP on your database. Per request.",eyebrow:"Air Pipe vs Gumloop",h1:"A Gumloop alternative that ships AI as real endpoints.",lead:"Air Pipe turns AI features into endpoints your product calls â RAG, an LLM gateway and MCP tools running on your own database, authenticated and traced like any other route. The model is a config value you can swap, and you are billed per request rather than per AI credit.",sections:[{heading:"AI features as backend endpoints",body:"Stand up a RAG chatbot on Postgres + pgvector or MongoDB Atlas Vector Search, put a governed LLM gateway in front of any model, and expose the same interfaces as MCP tools â all as config, on your infrastru

31cture.",points:["RAG with your documents and embeddings kept together","One governed LLM endpoint with auth, limits and tracing","The same endpoints exposed as MCP tools for agents"]},{heading:"The model is config, not a lock-in",body:"The model, the API key and the system prompt live in configuration. Point an endpoint at a different provider without changing its shape, and keep the contract your product already calls."},{heading:"Observable by default",body:"Retrieval is where RAG quietly goes wrong. Every AI endpoint ships OpenTelemetry traces, Prometheus metrics and OpenAPI docs, so you can see which step ran and how long it took rather than inferring it from a bad answer."},{heading:"Priced per request, not per AI credit",body:"Gumloop meters credits that scale with the model tier and the nodes you run. Air Pipe meters one request unit per request â a whole request, whatever ran inside it. It's a different axis, and it's the one that stays predictable as the AI work gets heavier."},{heading:"Your data stays yours",body:"Managed or self-hosted. Self-host it and your documents, your embeddings and your database never leave your network."},{heading:"Realtime in the same backend",body:"Beyond AI endpoints, the same config serves realtime â WebSocket and MQTT pub/sub with presence, history-rewind and retained messages â that your product's users connect to directly. A no-code AI workflow builder produces triggered or batch runs, not a realtime channel layer your app subscribes to. Here it's one backend: AI endpoints, automation and realtime in the same artifact, and your pipeline runs on each message.",points:["WebSocket channels and a real MQTT broker alongside your AI endpoints","Presence, history-rewind, retained â your logic runs on each message","End-users connect with their own token, or fully open â no org key in the browser"]},{heading:"When Gumloop is the better answer",body:"If the person building the automation isn't an engineer, or you want a library of ready-made scraping and enrichment nodes on a visual canvas, Gumloop fits better â we don't have either. Air Pipe suits you when the AI feature has to be a service you own: authenticated, documented, traced, on your data."}]},{slug:"ably-alternative",path:"/compare/ably-alternative",seoTitle:"An Ably Alternative That Runs Your Logic | Air Pipe Realtime",seoDescription:"Ably is a realtime relay. Air Pipe gives you WebSockets and MQTT â pub/sub, presence, history, retained â and runs your own pipeline on every message. One vendor, self-hostable.",eyebrow:"Air Pipe vs Ably",h1:"An Ably alternative that runs your backend on the message.",lead:"Air Pipe covers the realtime fundamentals â WebSocket and MQTT pub/sub, presence, history-rewind and retained messages â and then does what a relay cannot: the same connection runs your pipeline on each message, with your own logic as the channel ACL. One vendor for the socket and the backend behind it.",sections:[{heading:"Realtime fundamentals, at parity",body:"Wildcards, presence, message history-rewind and retained values all live in the WebSocket channel API, with global reach across geo-routed nodes. MQTT reaches the same delivery guarantees the native broker way â persistent sessions, QoS 1/2 and retained. You're not trading away realtime features to get the rest.",points:["Pub/sub with wildcards, presence and history-rewind","Retained values delivered on (re)subscribe, cross-node","WebSockets for browsers, MQTT for devices â one platform"]},{heading:"Your logic runs on the message",body:"A relay moves bytes between clients and stops there. Air Pipe can run your config on each message before it fans out â assert on it, transform it, write it to Postgres or MongoDB, call an upstream API â and gate each channel with your own pipeline logic against the user's JWT claims. The realtime layer and the backend are the same thing."},{heading:"One vendor, one bill",body:"With a relay you still bring your own backend, your own auth service and the glue between them. Air Pipe is transport, per-user auth, the compute that runs on each message, and billing in one product â metered in the same request units as everything else you run, which roll over for 12 months."},{heading:"Managed or self-hosted",body:"Run realtime on our managed cloud, or self-host the same single binary on your own infrastru

31cture â nothing-shared either way, with no external broker or Redis to operate. Self-hosted realtime connections aren't billed."},{heading:"Scaling to very large connection counts",body:"Out of the box, Air Pipe doesn't advertise the edge footprint or published SLAs of a dedicated global realtime network. But extreme scale is a conversation, not a wall: if you need very large connection counts or dedicated capacity, we scale out or provision dedicated infrastructure for you â talk to us. For most products the better fit is realtime that's part of your backend, runs your logic on each message, and self-hosts on infrastructure you own â and that's there from day one."}]},{slug:"pusher-alternative",path:"/compare/pusher-alternative",seoTitle:"A Pusher Alternative That Runs Your Logic | Air Pipe Realtime",seoDescription:"Pusher is a hosted WebSocket relay. Air Pipe gives you WebSocket and MQTT pub/sub â presence, history, retained â and runs your own pipeline on every message. Auth and backend in one config, self-hostable.",eyebrow:"Air Pipe vs Pusher",h1:"A Pusher alternative where the channel is your backend.",lead:"Air Pipe covers the realtime fundamentals â WebSocket pub/sub, presence, history-rewind and retained messages â and then does what a relay cannot: the same connection runs your pipeline on each message, and the auth gating each channel is part of the same config instead of a separate endpoint you have to host and keep running.",sections:[{heading:"Realtime fundamentals, at parity",body:"Pub/sub with wildcard channels, presence, message history-rewind and retained values live in the WebSocket channel API â and MQTT is available from the same config for devices. You get the realtime feature set, plus a second transport a WS-only relay doesn't offer.",points:["Pub/sub with wildcards, presence and history-rewind","Retained values delivered on (re)subscribe","WebSockets for browsers and MQTT for devices â one config"]},{heading:"Your logic runs on the message",body:"A relay moves bytes between clients and stops there. Air Pipe can run your config on each message before it fans out â assert on it, transform it, write it to Postgres or MongoDB, call an upstream API â and gate each channel with your own pipeline logic against the user's JWT claims. The realtime layer and the backend are the same thing."},{heading:"Auth without a second backend",body:"With Pusher, private and presence channels are authorized by an auth endpoint you stand up and host yourself. In Air Pipe the auth, the channel and the backend are one config: your end-users connect with their own token â a shared secret, your JWKS, or an Air Pipe-issued token â or fully open, with no org key in the browser. There's no separate auth service to run and keep in sync.",points:["Per-connection auth ladder: open, token, shared secret, or your JWKS","Anonymous / public channels that are still org-attributed and bounded","No separate auth endpoint to host and secure"]},{heading:"One vendor, one bill",body:"With a relay you still bring your own backend, your own auth service and the glue between them. Air Pipe is transport, per-user auth, the compute that runs on each message, and billing in one product â metered in the same request units as everything else you run, which roll over for 12 months."},{heading:"Managed or self-hosted",body:"Run realtime on our managed cloud, or self-host the same single binary on your own infrastructure â nothing-shared either way, with no external relay or Redis to operate. Self-hosted realtime connections aren't billed."},{heading:"Scaling to very large connection counts",body:"Out of the box, Air Pipe doesn't advertise the edge footprint or published SLAs of a dedicated global realtime network. But extreme scale is a conversation, not a wall: if you need very large connection counts or dedicated capacity, we scale out or provision dedicated infrastructure for you â talk to us. For most products the better fit is realtime that's part of your backend, runs your logic on each message, and self-hosts on infrastru

31cture you own â and that's there from day one."}]},{slug:"emqx-alternative",path:"/compare/emqx-alternative",seoTitle:"An EMQX Alternative That Runs Your Backend | Air Pipe MQTT",seoDescription:"EMQX is an MQTT broker you cluster and operate. Air Pipe is an MQTT broker plus WebSocket channels where your pipeline runs on every message â auth and backend in one config, one binary, no cluster to run.",eyebrow:"Air Pipe vs EMQX",h1:"An EMQX alternative where the broker is your backend.",lead:"Air Pipe is a real MQTT broker â QoS 0/1/2, retained messages, wildcards, MQTT-over-WebSocket â that also runs your backend. The same connection executes your full pipeline on each message, with per-connection auth and multi-tenancy in the same config, from a single binary with no cluster to operate.",sections:[{heading:"MQTT fundamentals, at parity",body:"A real MQTT broker over raw TCP and MQTT-over-WebSocket: publish/subscribe with wildcard topics, QoS 0/1/2, retained messages and subscribe-time authorization. Anonymous / public connections are supported too â the way a broker with allow_anonymous is â but kept multi-tenant-safe.",points:["QoS 0/1/2, retained, wildcards, MQTT-over-WebSocket","Anonymous / public connections that stay org-attributed and bounded","WebSocket channels in the same config for browser clients"]},{heading:"The broker runs your backend",body:"A broker moves and routes messages; the logic that does something with them lives in services you build and run alongside it. In Air Pipe that logic is the same config as your APIs â assert on a message, transform it, write it to Postgres or MongoDB, call an upstream API, then fan it out. You're not wiring a rules engine to external services; the message processing is your backend."},{heading:"Devices and browsers, one platform",body:"MQTT for devices and a WebSocket channel API for browsers come from the same config, with presence, history-rewind and retained values. One platform serves your fleet and your app's front-end, instead of a broker for devices plus a separate realtime stack for the web."},{heading:"Auth and multi-tenancy built in",body:"Per-connection auth is part of the config: connections present a shared-secret token, your JWKS, or an Air Pipe-issued token â or connect fully open with no credential â and everything is scoped and bounded per org, with usage attributed per org. There's no separate auth plugin or ACL service to run.",points:["Auth ladder: open, token, shared secret, or your JWKS","Per-org isolation, limits and attributed usage","Subscribe-time authorization on topics"]},{heading:"One binary, no cluster to operate",body:"Run the single cross-platform binary yourself, or use the managed cloud â no broker cluster, no external Redis or rules database to stand up and keep healthy. Self-hosted realtime connections aren't billed."},{heading:"Priced per request, not per connection and throughput",body:"Broker platforms typically meter concurrent connections and message throughput. Air Pipe meters one request unit per request â a whole request, whatever ran inside it â and those units roll over for 12 months. Self-hosted, your sockets aren't billed at all."},{heading:"Scaling to very large device fleets",body:"EMQX is built to cluster to very large device counts, and out of the box Air Pipe doesn't advertise that kind of turnkey fleet-scale footprint or published SLAs. But it's a conversation, not a wall: if you need very large fleets or dedicated capacity, we scale out or provision dedicated infrastructure for you â talk to us. For most products the better fit is a broker that's already your backend, runs your logic on each message, and self-hosts as one binary â there from day one."}]}],P3=Object.fromEntries(xt.map(e=>[e.slug,e])),vr=[{value:"request-unit",id:"request-units",q:"What is a request unit?",a:["A request unit is any request used to trigger your config â whether that be an API, workflow, CLI etc. It includes 1000ms of execution time. Your requests can run as many actions as needed, and as long as they need, either bound by your own limits if self hosted or ours if hosted on our infrastru

31cture.","Why 1000ms? A good API response time would be beneath 300ms, and anything past ~850ms would be considered poor performing.","This allows us to cater for the most typical understanding of a ârequestâ. Usecases may differ but this allows us to simplify pricing and make usage easy to understand."]},{value:"billing",q:"Is this a monthly subscription?",a:["No. Request units are pay-as-you-go â buy what you need and draw them down as you go. Your free 3,000 managed + 1,000 self-hosted units refresh each month; anything you pay for is yours to keep.","Platform isn't a subscription or a fee either â it unlocks while your account holds at least 100,000 paid units (about $199/mo of usage). Any top-ups count toward it, the units are still yours to spend, and they roll over. You're always paying for units, never for status."]},{value:"custom-packages",q:"Need a bigger or custom package?",a:["Just ask â we'll sort it out. Custom sizes, volume rates, different managed/self-hosted splits, invoicing or bank transfer: contact us and we'll set up a package that appears directly in your account, ready to purchase.","If you're running serious volume (hundreds of thousands of units and up), that's exactly the conversation we want to have."]},{value:"rollover",q:"Do request units roll over?",a:["Yes â unused **paid** units roll over so you never lose what you've bought, for up to 12 months from purchase.","Your **free** monthly allowance refreshes at the start of each month and doesn't stack â and when a request runs, free units are always drawn down before paid ones."]},{value:"diff",q:"What is the difference between AP-Hosted & Self-Hosted request units?",a:["If you are running your config on our backend, they are deducted from your hosted/managed units balance.","If you are self hosting your configs, they are deducted from your self hosted/unmanaged units balance.","You are allowed to use both offerings / units simultaneously to suit your needs."]},{value:"config",q:"What is a config?",a:["An Air Pipe config is a simple YAML file â you can define interfaces to trigger such as HTTP routes, or have it operate as a CLI based tool etc. These interfaces can have many actions configured to fetch and process data."]},{value:"action",q:"What is an action?",a:["An action could be: fetch data from this HTTP endpoint, run this command, make this database query etc. You can use any number or any combination of them in your config."]},{value:"payment",q:"How do you process payments?",a:["We use AirWallex payment links, and for other customer cases we can accept bank transfers in particular currencies on a case by case basis.","https://www.airwallex.com/"]},{value:"scenario-1",q:"Scenario: My config or API request ran for 900ms",a:["That's one request unit. Anything up to a full second is a single unit â we bill in whole seconds and round in your favor. No fractions, no multipliers, no per-step math."]},{value:"scenario-2",q:"Scenario: My config or API request ran for 4900ms",a:["Five request units â one per second. It doesn't matter how many actions, connections, or AI calls ran inside it; you're billed by time, not complexity."]},{value:"scenario-3",q:"Scenario: My config needs to make 100 actions, and connect to many DBs and APIs",a:["We don't care how many actions or connections you make.","You're billed by request units: under a second is one unit, five seconds is five. 100 actions across ten databases in 800ms? One unit."]},{value:"overage",q:"What happens if I run out of units?",a:["Your workflows don't halt without warning. We alert you as you approach your balance, and you can top up or roll into usage â no silent shut-offs, no lost runs, no surprise overages."]}],br={database:"Native database driver",google:"Google service account",aws:"AWS signed request",email:"Native email action",mqtt:"Native MQTT",http:"One http: action"},At=[{slug:"postgres",name:"PostgreSQL",iconKey:"postgres",group:"Databases",via:"database",auth:"Connection string",blurb:"Query Postgres directly from a config â parameterised, pooled, and traced per statement.",snippet:`- name: ListOrders
32  database: main
33  query: SELECT * FROM orders WHERE status = $1
34  params: [a|query::status|]`,packTags:["postgres","postgresql"],note:"Postgres-compatible engines work on the same driver â CockroachDB, YugabyteDB and Timescale included."},{slug:"mysql",name:"MySQL",iconKey:"mysql",group:"Databases",via:"database",auth:"Connection string",blurb:"MySQL and MariaDB on the native driver, with the same parameterised query action as every other database.",snippet:`- name: GetUser
35  database: main

36  query: SELECT id, email FROM users WHERE id = ?
37  params: [a|body::id|]`,packTags:["mysql","mariadb"],note:"MySQL-compatible engines â TiDB and PlanetScale â use the same driver."},{slug:"mongodb",name:"MongoDB",iconKey:"mongodb",group:"Databases",via:"database",auth:"Connection string",blurb:"Document operations against MongoDB, Atlas, Azure Cosmos DB or Amazon DocumentDB.",snippet:`- name: FindActive
38  database: main
39  document_operation:
40    collection: users
41    find: { "active": true }`,packTags:["mongodb","mongo","atlas"]},{slug:"sqlite",name:"SQLite",iconKey:"sqlite",group:"Databases",via:"database",auth:"File path",blurb:"An embedded database in the same single binary â the fastest way to get a real API with real storage running.",snippet:`- name: Recent
42  database: main
43  query: SELECT * FROM events ORDER BY id DESC LIMIT 20`,packTags:["sqlite"]},{slug:"sql-server",name:"SQL Server",iconKey:"database",group:"Databases",via:"database",auth:"Connection string",blurb:"Microsoft SQL Server on the native driver â the same query action, against the database your enterprise already runs.",snippet:`- name: Lookup
44  database: main
45  query: SELECT TOP 20 * FROM dbo.Orders WHERE CustomerId = @P1
46  params: [a|query::customer|]`,packTags:["mssql","sqlserver"]},{slug:"pgvector",name:"pgvector",iconKey:"postgres",group:"Databases",via:"database",auth:"Connection string",blurb:"Vector search on the Postgres you already run â embeddings in, nearest neighbours out, no separate vector database to operate.",snippet:`- name: Search
47  database: main
48  query: SELECT id, body FROM docs ORDER BY embedding <-> $1 LIMIT 5
49  params: [a|Embed::content|]`,packTags:["pgvector","vector-search","rag","embeddings"]},{slug:"openai",name:"OpenAI",iconKey:"openai",group:"AI & agents",via:"http",auth:"Bearer token",blurb:"Chat completions, embeddings and tool-calling agents. The agent action speaks the OpenAI shape, so this is one line of config.",snippet:`- name: Ask
50  agent:
51    url: https://api.openai.com/v1/chat/completions
52    model: gpt-4o-mini
53    headers:
54      Authorization: "Bearer a|ap_var::OPENAI_KEY|"
55    tools: [inventory/lookup, orders/create]
56    input: a|body::question|`,packTags:["openai","llm","gpt"]},{slug:"anthropic",name:"Anthropic",iconKey:"anthropic",group:"AI & agents",via:"http",auth:"API key header",blurb:"Claude as the model behind an agent action, or as a plain completion call in the middle of a workflow.",snippet:`- name: Ask
57  agent:
58    url: https://api.anthropic.com/v1/chat/completions
59    model: claude-sonnet-4-5
60    headers:
61      Authorization: "Bearer a|ap_var::ANTHROPIC_KEY|"
62    input: a|body::question|`,packTags:["claude","anthropic"],note:"Identity-linked keys need an anthropic-workspace-id header, which goes in headers: like any other."},{slug:"gemini",name:"Google Gemini",iconKey:"gemini",group:"AI & agents",via:"http",auth:"Bearer token",blurb:"Gemini through its OpenAI-compatible endpoint â same agent action, different URL.",snippet:`- name: Ask
63  agent:
64    url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
65    model: gemini-2.0-flash
66    headers:
67      Authorization: "Bearer a|ap_var::GEMINI_KEY|"
68    input: a|body::question|`,packTags:["gemini","google"]},{slug:"ollama",name:"Ollama",iconKey:"ollama",group:"AI & agents",via:"http",auth:"None (local)",blurb:"A model you host yourself, called from a config you host yourself. Nothing about the request leaves your network.",snippet:`- name: Ask
69  agent:
70    url: http://localhost:11434/v1/chat/completions
71    model: llama3.1
72    input: a|body::question|`,packTags:["ollama","self-hosted","llm"]},{slug:"slack",name:"Slack",iconKey:"slack",group:"Messaging",via:"http",auth:"Bearer token",blurb:"Post messages, handle slash commands and respond to interactive components â all as ordinary HTTP in and HTTP out.",snippet:`- name: Notify
73  http:
74    method: POST
75    url: https://slack.com/api/chat.postMessage
76    bearer_auth: a|ap_var::SLACK_BOT_TOKEN|
77    body: |
78      { "channel": "#alerts", "text": a|Check::summary| }`,packTags:["slack"]}

78,{slug:"discord",name:"Discord",iconKey:"discord",group:"Messaging",via:"http",auth:"Bot token Â· Ed25519 verify",blurb:"Webhooks in, bot messages out, and signature verification on interactions without a library to keep current.",snippet:`- name: Post
79  http:
80    method: POST
81    url: "https://discord.com/api/webhooks/a|ap_var::DISCORD_ID|/a|ap_var::DISCORD_TOKEN|"
82    body: |
83      { "content": a|Build::message| }`,packTags:["discord"]},{slug:"telegram",name:"Telegram",iconKey:"telegram",group:"Messaging",via:"http",auth:"Token in path",blurb:"A bot endpoint is a webhook interface and one http action â including AI bots that answer with a model in between.",snippet:`- name: Reply
84  http:
85    method: POST
86    url: "https://api.telegram.org/bota|ap_var::TELEGRAM_BOT_TOKEN|/sendMessage"
87    body: |
88      { "chat_id": a|body::message.chat.id|, "text": a|Ask::content| }`,packTags:["telegram"]},{slug:"twilio",name:"Twilio",iconKey:"twilio",group:"Messaging",via:"http",auth:"Basic auth",blurb:"Send SMS, receive SMS as a webhook, and put a model between the two if you want the bot to answer.",snippet:`- name: SendSms
89  http:
90    method: POST
91    url: "https://api.twilio.com/2010-04-01/Accounts/a|ap_var::TWILIO_SID|/Messages.json"
92    basic_auth:
93      username: a|ap_var::TWILIO_SID|
94      password: a|ap_var::TWILIO_TOKEN|`,packTags:["twilio","sms"]},{slug:"resend",name:"Resend",iconKey:"resend",group:"Messaging",via:"email",auth:"API key",blurb:"Transactional email as a first-class action â no SMTP server to babysit and no template engine to install.",snippet:`- name: SendDigest
95  email:
96    provider: resend
97    to: a|Row::email|
98    subject: "Your daily digest"
99    body: a|Render::html|`,packTags:["resend","email","smtp"]},{slug:"smtp",name:"SMTP",iconKey:"email",group:"Messaging",via:"email",auth:"Username + password",blurb:"Any SMTP server, including the one inside your own network, as a native action rather than a shelled-out script.",snippet:`- name: Send
100  email:
101    provider: smtp
102    to: a|body::email|
103    subject: "Welcome"
104    body: a|Render::html|`,packTags:["smtp","email"]},{slug:"stripe",name:"Stripe",iconKey:"stripe",group:"Commerce",via:"http",auth:"Bearer token Â· HMAC webhooks",blurb:"Receive webhooks with signature verification, write them to your database idempotently, and call the API back â in one config.",snippet:`- name: VerifyAndStore
105  database: main
106  query: |
107    INSERT INTO stripe_events (id, type, payload) VALUES ($1, $2, $3)
108    ON CONFLICT (id) DO NOTHING
109  params: [a|body::id|, a|body::type|, a|body|]`,packTags:["stripe","payments","mrr","subscriptions"]},{slug:"shopify",name:"Shopify",iconKey:"shopify",group:"Commerce",via:"http",auth:"Access token Â· HMAC webhooks",blurb:"Order and product webhooks verified, stored and fanned out to whatever else needs to know.",snippet:`- name: StoreOrder
110  database: main
111  query: INSERT INTO orders (shop_id, total) VALUES ($1, $2)
112  params: [a|body::id|, a|body::total_price|]`,packTags:["shopify","ecommerce"]},{slug:"github",name:"GitHub",iconKey:"github",group:"Developer tools",via:"http",auth:"Token Â· HMAC webhooks",blurb:"Repository webhooks in, the REST API out â and a schedule in the same config for the things nobody wants to poll by hand.",snippet:`- name: Comment
113  http:
114    method: POST
115    url: "https://api.github.com/repos/a|ap_var::REPO|/issues/a|body::number|/comments"
116    bearer_auth: a|ap_var::GITHUB_TOKEN|
117    body: |
118      { "body": a|Summarise::content| }`,packTags:["github"]},{slug:"airtable",name:"Airtable",iconKey:"airtable",group:"Developer tools",via:"http",auth:"Bearer token",blurb:"Sync records both ways on a schedule, with pagination handled as a loop in the config rather than a cursor you maintain.",snippet:`- name: Fetch
119  http:
120    url: "https://api.airtable.com/v0/a|ap_var::BASE_ID|/Contacts"
121    bearer_auth: a|ap_var::AIRTABLE_KEY|`,packTags:["airtable"]},{slug:"graphql",name:"GraphQL",iconKey:"graphql",group:"Developer tools",via:"http",auth:"Whatever the endpoint uses",blurb:"A GraphQL call is a POST with a query string. No client library, no codegen step, no schema to vendor.",snippet:`- name: Query
122  http:
123    method: POST
124    url: a|ap_var::GRAPHQL_URL|
125    bearer_auth: a|ap_var::GRAPHQL_TOKEN|
126    body: |
127      { "query": "{ viewer { login } }" }`,packTags:["graphql"]},{slug:"kubernetes",name:"Kubernetes",iconKey:"kubernetes",group:"Developer tools",via:"http",auth:"Service account token",blurb

127:"Service discovery against the Kubernetes API, so a config can route to pods that did not exist when it was written.",snippet:`- name: Pods
128  http:
129    url: "https://kubernetes.default.svc/api/v1/namespaces/default/pods"
130    bearer_auth: a|ap_var::K8S_TOKEN|`,packTags:["kubernetes","k8s","service-discovery"]},{slug:"docker",name:"Docker",iconKey:"docker",group:"Developer tools",via:"http",auth:"Socket or TCP",blurb:"Container discovery and health from the Docker API â and the engine itself ships as a container when you want it to.",snippet:`- name: Containers
131  http:
132    url: "http://localhost:2375/containers/json"`,packTags:["docker","container-discovery"]},{slug:"auth0",name:"Auth0",iconKey:"auth0",group:"Auth & identity",via:"http",auth:"OIDC Â· JWKS",blurb:"Verify Auth0 tokens against JWKS in front of every route, with the claims available to the actions behind it.",snippet:`auth:
133  jwt:
134    jwks_url: "https://a|ap_var::AUTH0_DOMAIN|/.well-known/jwks.json"
135    audience: a|ap_var::AUTH0_AUDIENCE|`,packTags:["auth0","oidc","jwks","jwt"]},{slug:"supabase",name:"Supabase",iconKey:"supabase",group:"Auth & identity",via:"database",auth:"Connection string Â· JWT",blurb:"Supabase is Postgres, so the native driver talks to it directly â and its JWTs verify in front of the route.",snippet:`- name: ListRows
136  database: main
137  query: SELECT * FROM public.profiles WHERE id = $1
138  params: [a|jwt::sub|]`,packTags:["supabase"]},{slug:"firebase",name:"Firebase",iconKey:"firebase",group:"Auth & identity",via:"google",auth:"Service account",blurb:"Push notifications through FCM, using the same signed-JWT exchange as every other Google service.",snippet:`- name: Token
139  google:
140    credential: main
141    create_token:
142      scopes: ["https://www.googleapis.com/auth/firebase.messaging"]`,packTags:["fcm","firebase","push"]},{slug:"google-sheets",name:"Google Sheets",iconKey:"googlesheets",group:"Google",via:"google",auth:"Service account",blurb:"One action mints the token, the next is plain REST. The hard part of Google â the signed JWT exchange â is the part you do not write.",snippet:`- name: GetToken
143  hide_data_on_success: true
144  google:
145    credential: main
146    create_token:
147      scopes: ["https://www.googleapis.com/auth/spreadsheets"]
148
149- name: Read
150  run_when_succeeded: [GetToken]
151  http:
152    url: "https://sheets.googleapis.com/v4/spreadsheets/a|ap_var::SHEET_ID|/values/Sites!A2:B"
153    headers:
154      Authorization: a|GetToken|`,packTags:["google-sheets","sheets","google"],note:"The same two actions reach Drive, Gmail, Docs, Calendar, BigQuery and Cloud Storage â change the scope and the URL."},{slug:"bigquery",name:"BigQuery",iconKey:"bigquery",group:"Google",via:"google",auth:"Service account",blurb:"Run a query on a schedule and email, post or store the result â the token exchange is one action.",snippet:`- name: GetToken
155  hide_data_on_success: true
156  google:
157    credential: main
158    create_token:
159      scopes: ["https://www.googleapis.com/auth/bigquery"]`,packTags:["bigquery","google","analytics"]},{slug:"s3",name:"Amazon S3",iconKey:"s3",group:"Storage",via:"aws",auth:"SigV4",blurb:"Presigned uploads and downloads, and objects read straight into a workflow â signing handled for you.",snippet:`- name: Presign
160  aws:
161    s3:
162      bucket: a|ap_var::BUCKET|
163      key: a|body::filename|
164      presign: put
165      expires_in: 900`,packTags:["s3","storage","presigned","upload"]},{slug:"cloudflare",name:"Cloudflare",iconKey:"cloudflare",group:"Storage",via:"http",auth:"Bearer token",blurb:"R2 speaks the S3 API, and the rest of Cloudflare's control plane is ordinary REST.",snippet:`- name: PurgeCache
166  http:
167    method: POST
168    url: "https://api.cloudflare.com/client/v4/zones/a|ap_var::ZONE|/purge_cache"
169    bearer_auth: a|ap_var::CF_TOKEN|
170    body: '{ "purge_everything": true }'`,packTags:["cloudflare"]},{slug:"mqtt",name:"MQTT",iconKey:"mqtt",group:"Realtime",via:"mqtt",auth:"Username + password Â· TLS",blurb:"Publish and subscribe natively â and run the broker itself from the same binary if you would rather not operate one.",snippet:`- name: Publish
171  mqtt:
172    topic: "devices/a|body::device_id|/commands"
173    payload: a|body::command|`,packTags:["mqtt","iot","broker"]}

173,{slug:"prometheus",name:"Prometheus",iconKey:"prometheus",group:"Observability",via:"http",auth:"None (scrape)",blurb:"Every deployment exposes /metrics, labelled by interface rather than by URL â so IDs in paths never blow up cardinality.",snippet:`# Nothing to configure. Point a scrape job at:
174#   https://your-deployment/metrics`,packTags:["prometheus","monitoring","observability"],note:"The self-hosted binary exposes /metrics directly; on managed cloud, metrics are surfaced through the platform rather than scraped from the instance."},{slug:"grafana",name:"Grafana",iconKey:"grafana",group:"Observability",via:"http",auth:"None (scrape)",blurb:"The metrics are plain Prometheus and the traces are plain OTLP, so a Grafana stack needs no adapter to read them.",snippet:`# Prometheus datasource â your /metrics endpoint
175# Tempo datasource      â your OTLP collector`,packTags:["grafana","monitoring","observability"]},{slug:"opentelemetry",name:"OpenTelemetry",iconKey:"opentelemetry",group:"Observability",via:"http",auth:"Collector endpoint",blurb:"Set one environment variable and every request becomes an end-to-end trace â request, action, database call and lookup.",snippet:`# One environment variable:
176#   OTEL_EXPORTER_OTLP_ENDPOINT=http://collector:4317`,packTags:["opentelemetry","otel","tracing","observability"]},{slug:"datadog",name:"Datadog",iconKey:"datadog",group:"Observability",via:"http",auth:"Collector endpoint",blurb:"Datadog's OTLP intake takes the traces as they are. No agent to install beside the binary, no instrumentation to write.",snippet:`# Point OTEL_EXPORTER_OTLP_ENDPOINT at the
177# Datadog Agent's OTLP receiver.`,packTags:["datadog","observability"]}];Object.fromEntries(At.map(e=>[e.slug,e]));const T3=[...new Set(At.map(e=>e.group))],wr={database:e=>`Build a ${e} API from one config.`,google:e=>`${e}, without writing the OAuth dance.`,aws:e=>`${e} in your workflow, signed for you.`,email:()=>"Send email from a config, not a side service.",mqtt:e=>`${e} publish, subscribe and broker from one config.`,http:e=>`${e} in a config. No connector required.`},kr={database:e=>`${e} REST API, workflows and MCP tools from one config | Air Pipe`,google:e=>`${e} API from one config â service account handled | Air Pipe`,aws:e=>`${e} from one config â presigned and signed for you | Air Pipe`,email:e=>`Send email with ${e} from one config | Air Pipe`,mqtt:e=>`${e} publish, subscribe and broker from one config | Air Pipe`,http:e=>`${e} API, webhooks and agent tools from one config | Air Pipe`},xr={database:e=>`${e} has a native driver in the engine. A query action takes the statement and its parameters separately â so the values are bound, never interpolated into SQL â and the connection is pooled for you. Every statement becomes a span in the request's trace, with its timing attached.`,google:e=>`Google is the one auth scheme that genuinely warrants help, because it needs a signed JWT exchanged for a short-lived token. The \`google:\` action does that in one step and you choose the scopes. After that, ${e} is ordinary REST â an \`http:\` action with the token in a header.`,aws:e=>`${e} needs SigV4 request signing, which is the part nobody wants to hand-roll. The AWS action set handles the signature, so what you write is the operation and its parameters.`,email:()=>"Email is a native action rather than an HTTP call you assemble, because the useful part â attachments, HTML bodies, provider differences â is exactly what you would otherwise reimplement. Switching provider is a one-line change.",mqtt:e=>`${e} is native: publish and subscribe are actions, and a subscription can trigger a flow the same way an HTTP request or a cron schedule does. The engine can also run the broker itself, so there is no separate service to operate.`,http:e=>`There is no ${e} connector, because there does not need to be one. ${e}'s API is HTTP, so it is one \`http:\` action â the method, the URL, the auth helper for its scheme, and the body. The same action reaches every other API you use, including the ones that do not exist yet.`},tt={connector:(e,t)=>

177({q:`Is there a ${e} connector I have to install?`,a:t==="http"?`No â and there is no queue to join waiting for one. Air Pipe has no connector catalogue by design. ${e} is reached with the same \`http:\` action as every other API, which is why a service released this morning works as well as one released a decade ago.`:`No. ${e} is reached through a native action that ships with the engine â nothing to install, enable or version separately.`}),creds:{q:"Where do the credentials live?",a:"In managed variables or secrets, referenced from the config by name â never in the config text. Any action that mints a token should also carry `hide_data_on_success: true`, or the token comes back in the response body."},agent:()=>({q:"Can an agent call this?",a:"Yes, and you do not build anything extra for it. Mark the interface `mcp: true` and the same route becomes an MCP tool, with its input schema derived from the assertions the route already carries. An agent calling it gets the same auth, the same validation and the same traces as an HTTP client."}),observe:{q:"What do I get to see when it fails?",a:"An end-to-end OpenTelemetry trace covering the request, each action and each database call, Prometheus counters and durations on /metrics, and the run history for the deployment. None of it is written by you and none of it is a separate product."}};function Ar(e){const{name:t,slug:o,via:n,auth:s,blurb:r,snippet:i,note:l,group:h}=e,u=[{heading:`How Air Pipe reaches ${t}`,body:xr[n](t),code:i,points:[`Route: ${br[n]}`,`Auth: ${s}`,...l?[l]:[]]},{heading:"The same config is four things at once",body:`Whatever you build against ${t} is not locked to one surface. The same config can expose HTTP routes, run on a cron schedule, receive webhooks, and be called by an agent as an MCP tool â with one auth model and one deploy. You do not rebuild the workflow to make it callable, and you do not bolt an MCP node onto the end of a canvas.`,points:["HTTP routes with OpenAPI docs generated from the config","Cron schedules and webhooks in the same file as the API","MCP tools with input schemas derived from the route's own assertions","OpenTelemetry traces and Prometheus metrics on all of it"]},{heading:"Readable config you own, managed or self-hosted",body:`The artifact is a config you can read, diff and review in a pull request â not a canvas stored in a vendor's database. Run it on Air Pipe's managed cloud or self-host the single binary, with the same config either way, and

177your ${h==="Databases"?"data":"credentials and data"} staying on your infrastructure when you choose to self-host.`}];return{slug:o,path:`/integrations/${o}`,kind:"integration",iconKey:e.iconKey,packTags:e.packTags,seoTitle:kr[n](t),seoDescription:`${r} Readable config, OpenAPI, Prometheus metrics and OpenTelemetry tracing built in. Managed cloud or self-hosted. Start free.`,eyebrow:h,h1:wr[n](t),lead:r,sections:u,faq:[tt.connector(t,n),tt.creds,tt.agent(),tt.observe],docsUrl:n==="database"?"https://docs.airpipe.io/docs/features/databases":"https://docs.airpipe.io/docs/features/connectors"}}const ma=At.map(Ar),M3=Object.fromEntries(ma.map(e=>[e.slug,e])),ct={path:"/integrations",seoTitle:"Integrations â databases, AI, messaging and every other API | Air Pipe",seoDescription:"Air Pipe has no connector catalogue, and that is deliberate. Native drivers for databases, Google and MQTT; one http: action for every other API â including the one released this morning. See the config for each.",eyebrow:"Integrations",h1:"Every API, including the one released this morning.",lead:"Air Pipe ships no connector catalogue. Databases, Google services, AWS, email and MQTT have native actions; everything else is a single http: action. The practical effect is that the service you need is already supported â there is no node to install and no roadmap to wait for."},mt="https://api.airpipe.io/<org>/<env>/mcp",Pr="https://your-deployment/mcp",Le=(e="mcpServers")=>`{
178  "${e}": {
179    "airpipe": {
180      "url": "${mt}",
181      "headers": { "Authorization": "Bearer <your-token>" }
182    }
183  }
184}`,ro=[{slug:"claude-code",name:"Claude Code",iconKey:"claude",kindLabel:"CLI",setup:"command",configFile:null,snippet:`claude mcp add --transport http airpipe \\
185  ${mt} \\
186  --header "Authorization: Bearer <your-token>"`,blurb:"Add the deployment as a Streamable HTTP server and Claude Code can call your interfaces as tools while it works in your repo.",docsUrl:"https://docs.anthropic.com/en/docs/claude-code/mcp",connectLabel:"claude mcp add airpipe",connectResult:"connected Â· 4 tools"},{slug:"claude-desktop",name:"Claude Desktop",iconKey:"claude",kindLabel:"Desktop app",setup:"ui",configFile:"Settings â Connectors â Add custom connector",snippet:null,blurb:"Add the deployment's MCP URL as a custom connector. Claude can then read and act through your interfaces in ordinary conversation.",docsUrl:"https://modelcontextprotocol.io/docs/develop/connect-local-servers",connectLabel:"airpipe connector authorised",connectResult:"4 tools available"},{slug:"chatgpt",name:"ChatGPT",iconKey:"openai",kindLabel:"Connector",setup:"ui",configFile:"Settings â Connectors â Add custom connector",snippet:null,blurb:"Point ChatGPT's custom connector at the deployment's MCP endpoint and your interfaces become tools it can call.",docsUrl:"https://platform.openai.com/docs/mcp",connectLabel:"airpipe connector authorised",connectResult:"4 tools available"},{slug:"cursor",name:"Cursor",iconKey:"cursor",kindLabel:"Editor",setup:"file",configFile:"~/.cursor/mcp.json (or .cursor/mcp.json in the project)",snippet:Le(),blurb:"Cursor's agent reads the same tools your HTTP clients call, so it can query and change real data while you build.",docsUrl:"https://docs.cursor.com/context/model-context-protocol",connectLabel:"cursor - mcp.json loaded",connectResult:"airpipe Â· 4 tools"},{slug:"windsurf",name:"Windsurf",iconKey:"code",kindLabel:"Editor",setup:"file",configFile:"~/.codeium/windsurf/mcp_config.json",snippet:Le(),blurb:"Cascade picks up the deployment's tools and can call them mid-task, with the same auth an HTTP client would need.",docsUrl:"https://docs.windsurf.com/windsurf/cascade/mcp",connectLabel:"windsurf - mcp_config.json loaded",connectResult:"airpipe Â· 4 tools"},{slug:"vscode-copilot",name:"VS Code Copilot",iconKey:"code",kindLabel:"Editor",setup:"file",configFile:".vscode/mcp.json",snippet:`{
187  "servers": {
188    "airpipe": {
189      "type": "http",
190      "url": "${mt}",
191      "headers": { "Authorization": "Bearer <your-token>" }
192    }
193  }
194}`,blurb:"In agent mode, Copilot can call your deployed interfaces as tools without leaving the editor.",docsUrl:"https://code.visualstudio.com/docs/copilot/chat/mcp-servers",connectLabel:"vscode - mcp.json loaded",connectResult:"airpipe Â· 4 tools"},{slug:"gemini-cli",name:"Gemini CLI",iconKey:"gemini",kindLabel:"CLI",setup:"file",configFile:"~/.gemini/settings.json",snippet:Le(),blurb:"Gemini CLI reads MCP servers from its settings file and can then call your interfaces as tools from the terminal.",docsUrl:"https://github.com/google-gemini/gemini-cli",connectLabel:"gemini - settings.json loaded",connectResult:"airpipe Â· 4 tools"},{slug:"zed",name:"Zed",iconKey:"code",kindLabel:"Editor",setup:"file",configFile:"Zed settings.json â context_servers",snippet:Le("context_servers"),blurb:"Zed calls MCP servers context servers. Add the deployment there and its assistant can use your tools.",docsUrl:"https://zed.dev/docs/ai/mcp",connectLabel:"zed - context server connected",connectResult:"airpipe Â· 4 tools"},{slug:"cline",name:"Cline",iconKey:"code",kindLabel:"Editor extension",setup:"file",configFile:"cline_mcp_settings.json",snippet:Le(),blurb:"Cline loads remote MCP servers from its settings file, so your interfaces show up as tools in its task loop.",docsUrl:"https://docs.cline.bot/mcp/connecting-to-a-remote-server",connectLabel:"cline - mcp settings loaded",connectResult:"airpipe Â· 4 tools"},{slug:"n8n",name:"n8n",iconKey:"workflow",kindLabel:"Automation platform",setup:"ui",configFile:"MCP Client Tool node â HTTP Streamable",snippet:null,blurb:"n8n can consume your Air Pipe deployment as an MCP tool â which is the honest way to run both:

194n8n for the canvas, Air Pipe for the backend behind it.",docsUrl:"https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp/",connectLabel:"n8n - MCP Client Tool",connectResult:"airpipe Â· 4 tools"}];Object.fromEntries(ro.map(e=>[e.slug,e]));const Tr={command:e=>`${e.name} adds remote MCP servers from the command line. Run this once against the deployment you want it to reach â the endpoint is the one Air Pipe serves for that organisation and environment, and the token is whatever credential the interfaces behind it already require.`,file:e=>`${e.name} reads its MCP servers from \`${e.configFile}\`. Add the deployment there. The endpoint is the one Air Pipe serves for that organisation and environment; the header carries whatever credential the interfaces behind it already require.`,ui:e=>`${e.name} adds remote MCP servers through its own interface: ${e.configFile}. Give it the deployment's MCP endpoint and authorise it â there is no file to edit and no API key to paste into a config.`};function Mr(e){return{slug:e.slug,path:`/mcp/${e.slug}`,kind:"mcp-client",iconKey:e.iconKey,client:e,seoTitle:`Connect ${e.name} to your own API as MCP tools | Air Pipe`,seoDescription:`Set up ${e.name} against an Air Pipe deployment and call your own interfaces as MCP tools â same auth as the HTTP route, input schemas generated from its assertions, every call traced. 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