| name | neon-functions |
| description | Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, an MCP server, or any request/response workload that risks timing out on short, lambda-style serverless functions — and wants it to branch with their database. Triggers include "serverless function", "deploy an API", "long-running function", "streaming agent", "SSE server", "WebSocket server", "webhook handler", "MCP server", "run code next to my database", "function that won't time out", "function logs", "Neon Functions", and "Neon Compute". |
| metadata | {"parent":"neon","source":"https://github.com/neondatabase/agent-skills/tree/main/skills/neon-functions"} |
FIRST: Use the parent neon skill for a Neon overview, getting started with Neon, Neon development best practices, and more.
If the neon skill is not installed, fetch it from https://neon.com/docs/ai/skills/neon/SKILL.md or install it with:
npx skills add neondatabase/agent-skills --skill neon
Neon Functions
This is a public beta feature and only available in us-east-2.
Neon Functions are long-running Node.js HTTP handlers deployed onto a Neon branch. Each function gets a public HTTPS URL, runs in the same region as your database, and — if the branch has Postgres — gets DATABASE_URL injected automatically. You deploy and manage them through the same Neon CLI, neon.ts, and API you already use.
Use this skill to help the user define, run locally, deploy, and manage functions next to their database. Deliver a deployed function with its invocation URL, a working local neon dev loop, or a precise answer from the official Neon docs.
When to Use
Reach for Neon Functions when the workload is a request/response handler that benefits from staying alive and staying close to the data:
- Long-running request/response flows that outlast lambda-style limits. Agents that make several LLM calls and tool invocations per request, or image/video generation, routinely blow past the ~10–60s execution caps and short streaming windows of traditional serverless functions. Neon Functions are long-running: the handler just needs to start responding within 15 minutes, and an open stream stays alive as long as bytes keep flowing. That's enough headroom for real agent workloads.
- Stateful streaming without bolting on Redis. Because a function stays alive across a request, it can host an SSE endpoint or a WebSocket server and hold the connection open in-process — no external state store (Redis, etc.) needed just to keep a stream coherent. Module-scope state (a
pg pool, an in-memory counter) persists across requests on the same isolate.
- Compute that must sit next to Postgres. The function runs in the same region as the branch's database, so there are no cross-region round trips on every query.
DATABASE_URL is injected for you.
- A backend that branches with your data. Each branch runs its own version of the function at its own URL, against its own isolated database (and storage, and gateway) state. Preview deployments, CI, and dev environments each get a self-contained backend — deploying to a child never affects the parent.
- Webhooks, bots, and post-response work. Webhook handlers that fan out into multiple DB writes, Discord/WebSocket bots, and fire-and-forget follow-ups via
waitUntil (analytics, audit logs) all fit.
If the workload is a pure static site, a cron/background job that needs its own lifecycle and cancellation, or something that must run outside us-east-2 today, this isn't the right tool yet (see Timeouts and Runtime Limits and Availability).
What It Does
- Long-running & serverless — Built for WebSocket servers (see WebSocket Servers), SSE endpoints (see Server-Sent Events (SSE)), long agent HTTP streams, and APIs. Still scales to zero when idle.
- Web-standard handler — A function is any default export with a
fetch(request) method returning a Response (Workers/WinterTC-compatible). A Hono app exports exactly that shape, so export default app just works. Runs on Node.js 24, so all Node APIs are available.
- Close to your database — Runs in the branch's region;
DATABASE_URL injected automatically when the branch has Postgres.
- Branchable — Each branch runs its own function version at its own URL against its own isolated state.
- Same CLI/API — Deploy and manage via
neon, neon.ts, or the Neon API.
Availability
Check this precondition before setting anything up: Neon Functions is a public beta feature available in the us-east-2 region. Confirm the user's Neon project is in us-east-2. Functions usage isn't billed during the public beta.
Architecture: Where Functions Fit
Neon (Functions included) is backend primitives, not full-stack app hosting. Host your app on Vercel (or Netlify, or another frontend/app host); Functions are the long-running, stateful slice of your backend that lives next to your data. They compose with that platform in two ways:
- Add a Function to a full-stack app. Your Next.js / TanStack Start app on Vercel (or Netlify) owns UI, auth (e.g. Neon Auth), and talks directly to Lakebase Postgres and Object Storage. When one workload outgrows the host's short serverless limits — a WebSocket or SSE server, or a long-running agent that would time out — move just that piece onto a Neon Function. (See Functions as an Agent Backend for the client-direct pattern.)
- Run the whole backend control plane on Functions. Especially when the frontend is client-only — TanStack Router, React Router in client mode, and similar SPAs hosted on Vercel or Netlify — the client calls Functions directly. Build REST APIs and request/response agents, host MCP servers, and run anything stateful or that belongs close to Postgres and Object Storage.
Either way, secure a Function like any standalone REST API: verify a JWT or API key at the top of the handler (see the WARNING under Functions as an Agent Backend). Because a Function is just your backend, you can move pieces between your host and Neon — relocate an agent or a stateful WebSocket server onto a Function when it needs more runtime, and back if needed.
Setup
Functions are declared in neon.ts (see the neon skill for the branch-first workflow and neon.ts basics). Add @neon/config and declare functions under preview.functions, keyed by slug:
import { defineConfig } from "@neon/config/v1";
export default defineConfig({
preview: {
functions: {
todos: {
name: "todo api",
source: "src/index.ts",
},
},
},
});
The slug is the function's permanent identity (it appears in the invocation URL and CLI commands) and can't be changed after the first deploy. Use name for a human-readable label.
A minimal function — a Hono app that queries the branch's Postgres via the injected DATABASE_URL:
import { Hono } from "hono";
import { drizzle } from "drizzle-orm/node-postgres";
import { Pool } from "pg";
import { parseEnv } from "@neon/env";
import { attachDatabasePool } from "@neon/functions";
import config from "../neon";
import { todos } from "./db/schema";
const env = parseEnv(config);
const pool = new Pool({ connectionString: env.postgres.databaseUrl, max: 5 });
attachDatabasePool(pool);
const db = drizzle(pool);
const app = new Hono();
app.get("/", (c) => c.text("Neon + Hono + Drizzle"));
app.post("/todos", async (c) => {
const { text } = await c.req.json<{ text: string }>();
const [row] = await db.insert(todos).values({ text }).returning();
return c.json(row, 201);
});
app.get("/todos", async (c) => c.json(await db.select().from(todos)));
export default app;
Create the pg pool at module scope (reused across requests on the same isolate) and keep max small (e.g. 5), since each isolate keeps its own pool. Call attachDatabasePool(pool) so an idle disconnect is not an uncaughtException — see Connecting to Postgres.
parseEnv(config) requires every variable the config implies. A function that only talks to Postgres over the pooled URL can scope it to just that key — parseEnv then validates and returns only what you asked for (the keys autocomplete from your neon.ts):
const { postgres } = parseEnv(config, ["DATABASE_URL"]);
const pool = new Pool({ connectionString: postgres.databaseUrl, max: 5 });
attachDatabasePool(pool);
Develop Locally and Deploy
neon dev
neon deploy --env <file>
Keep .env or .env.local up to date with every key under preview.functions.*.env. neon env pull writes Neon-managed vars only; add Function secrets to that file, then pass it as --env. neon deploy --env <file> loads that file into process.env each time, then uploads those values. A missing value is undefined and defineConfig throws. Omit the key from neon.ts if you do not want to write it. Never coerce a missing process.env value to an empty string (that uploads "" and deletes the live key). An empty assignment (KEY=) is also "". Use process.env.X! when TypeScript needs an assertion.
To deploy a single function without applying neon.ts: neon functions deploy <slug> --src src/index.ts (--src takes either the entry file or a directory containing index.ts, index.mjs, or index.js). That command's --env is KEY=VALUE (repeatable), not a file path. Use it for a targeted env update. Retrieve the public URL with neon functions get <slug> (the invocation_url field, of the form https://<branch_id>-<slug>.compute.<cell>.us-east-2.aws.neon.tech). Manage with neon functions list|get|delete.
When neon checkout creates a new branch and a neon.ts is present, it applies the policy automatically. That create-apply does not load --env. If Function env reads process.env, run neon deploy --env <file> after checkout (add --update-existing if checkout already created the branch). Checking out an existing branch does not re-deploy; run neon deploy --env <file> explicitly.
Neon Infrastructure as Code (neon.ts)
The preview.functions block from Setup is part of neon.ts, Neon's infrastructure-as-code file — one TypeScript file declares every function (its source, display name, and env) alongside any other branch services, in version control (see the neon skill for the full reference). Treat it like Terraform for your branch:
neon config status
neon config plan
neon config apply --env <file>
Functions are branch-scoped: each branch runs its own deployment at its own URL. When a neon.ts is present, neon checkout applies the policy as it creates a branch. That create-apply does not load --env. If Function env reads process.env, run neon deploy --env <file> after checkout. Checking out an existing branch doesn't redeploy — run neon deploy --env <file> to apply changes.
Per-branch deploy tuning (e.g. runtime) lives in the branch closure, keyed by slug, so it can vary by branch without changing which functions exist:
export default defineConfig({
preview: {
functions: { todos: { name: "todo api", source: "src/index.ts" } },
},
branch: (branch) => ({
preview: { functions: { todos: { runtime: "nodejs24" } } },
}),
});
Environment Variables
Neon injects branch-scoped connection strings and service URLs at runtime — you don't declare these or pass them at deploy time:
| Variable | Notes |
|---|
NEON_BRANCH | The branch name (e.g. main, preview/foo). Injected on every branch, including the default. |
DATABASE_URL | Pooled connection string. Use for most queries. Present only if the branch has Postgres. |
DATABASE_URL_UNPOOLED | Direct connection. Use for migrations, LISTEN/NOTIFY, multi-round-trip transactions. |
NEON_AUTH_BASE_URL | Present when Neon Auth is enabled on the branch. |
NEON_DATA_API_URL | Present when the Data API is enabled on the branch. |
Object storage (AWS_*) and AI Gateway (NEON_AI_GATEWAY_*) vars are also injected when those services are declared — see the neon-object-storage and neon-ai-gateway skills.
neon env pull / neon-env run / neon dev emit NEON_BRANCH (and the connection strings) into your local dev environment too, so local runs mirror the deployed runtime.
Your own secrets are per-deployment. Preferred path: declare them in neon.ts and run neon deploy --env <file>. <file> is the gitignored file env pull already writes (.env if that file exists, otherwise .env.local). Env pull writes Neon-managed vars only; add Function secrets to that file. All declared Function env keys must be present. Omit a key from neon.ts if you do not want to write it. undefined means you asked to write the key and the value is missing (defineConfig throws). Never coerce a missing process.env value to an empty string: that uploads "" and deletes the live key. An empty assignment in the file (KEY=) is also "". If TypeScript needs an assertion, use process.env.X! and make sure the file has the value:
functions: {
todos: {
name: "todo api",
source: "src/index.ts",
env: { RESEND_API_KEY: process.env.RESEND_API_KEY! },
},
}
neon functions deploy --env KEY=VALUE is the manual path (repeatable; --env KEY= deletes a key; unmentioned keys carry over). Use it for a targeted env update, not a full neon.ts apply.
Load Function secrets into the same file env pull wrote, then neon deploy --env <file>. Pull the branch's Neon-managed vars onto disk for local dev with neon env pull (link/checkout do this automatically; pass --no-env-pull to skip and use neon-env run -- <cmd> for runtime injection). Limits: ≤1,000 vars, ≤64 KiB total, and the NEON_ prefix is reserved.
Connecting to Postgres
When the branch has Postgres, Neon injects the connection strings at runtime — you don't declare them, pass them at deploy time, or hardcode anything. The two you'll use:
DATABASE_URL — pooled connection string (routed through Neon's connection pooler). Use it for normal request/response query traffic. Kept un-prefixed because every Postgres ORM (Drizzle, Prisma, Knex, …) reads DATABASE_URL by default.DATABASE_URL_UNPOOLED — direct connection string to the same database. Use it for migrations, LISTEN/NOTIFY, and long multi-statement transactions.
Use Drizzle (or another ORM) on top of node-postgres (pg) for queries and schema management — not Neon's serverless driver. Functions are long-running and reuse an isolate across many requests, so a persistent pg pool is the right fit; the serverless driver's HTTP transport is meant for fully isolated, lambda-style runtimes.
Create the connection pool once at module scope and reuse it across requests — don't open a connection per request:
import { attachDatabasePool } from "@neon/functions";
import { drizzle } from "drizzle-orm/node-postgres";
import { Pool } from "pg";
const pool = new Pool({ connectionString: process.env.DATABASE_URL, max: 5 });
attachDatabasePool(pool);
const db = drizzle(pool);
node-postgres emits idle-client failures as error on the pool. With no listener that is an uncaughtException and Node exits the isolate. Call attachDatabasePool(pool) once after new Pool. Requires @neon/functions ≥ 0.8.0. Expected idle disconnects (ECONNRESET, EPIPE, ETIMEDOUT, Postgres 57P01, node-postgres's Connection terminated unexpectedly) are silent. Anything else is console.error, or onUnexpectedError if you pass it on the first call. The first call wins; a later call that passes onUnexpectedError is ignored and warns. This does not close the pool.
Pooling is recommended because an isolate is reused across many requests (and several requests can be in flight on the same isolate at once — see Timeouts and Runtime Limits). A module-scope pool is opened once on cold start and then shared by every subsequent request that isolate serves, so you amortize connection setup instead of paying it on every request and you avoid exhausting Postgres connections under load.
Keep max small (e.g. 5): each isolate keeps its own pool, so total connections to Postgres scale with the number of live isolates. You don't need to close the pool on shutdown — when the runtime evicts an isolate it sends SIGINT/SIGTERM, and Neon's pooler reclaims those connections for you, so an explicit drain handler is redundant.
