Neon llms.txt · AI Docs Browser · mdream

[llms.txt Tools](https://mdream.dev/llms-txt/neon/llms-txt)

# Neon llms.txt

Browse Neon documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.

neon.com/llms.txt

[Raw llms.txt](https://neon.com/llms.txt) [Raw llms-full.txt](https://neon.com/llms-full.txt)

Copy Markdown [](https://neon.com/llms.txt)

llms.txt

Common Queries

Pricing and plans

Choose a connection method (drivers, pooling, serverless)

Troubleshoot connection errors and timeouts

Neon API reference (projects, branches, databases, endpoints)

Neon CLI reference (neon commands, options, and usage)

Introduction

Get Started

Build a full backend with Next.js and Neon

Built to scale

Built to scale

Connecting Neon to your stack

Database branching workflow primer

Get started with your AI agent

Getting ready for production

How a Neon backend fits together

Neon backend beta guide

Neon framework guides

Neon language guides

Neon ORM guides

Our DX Principles

Query with Neon's SQL Editor

Tour the Neon Console

Why Neon?

Connect

Choosing your connection method

Connect a GUI application

Connect from any application

Connect Looker Studio to Neon

Connect to Neon

Connect to Neon securely

Connect with pgcli

Connect with psql

Connection errors

Connection latency and timeouts

Connection pooling

Neon Local

Neon serverless driver

Neon VS Code Extension

neon.ts

Passwordless auth

Neon CLI

Neon CLI

Neon CLI command: api

Neon CLI command: auth

Neon CLI command: bootstrap

Neon CLI command: branches

Neon CLI command: buckets

Neon CLI command: checkout

Neon CLI command: completion

Neon CLI command: config

Neon CLI command: connection-string

Neon CLI command: data-api

Neon CLI command: databases

Neon CLI command: deploy

Neon CLI command: dev

Neon CLI command: diff

Neon CLI command: env

Neon CLI command: functions

Neon CLI command: init

Neon CLI command: ip-allow

Neon CLI command: link

Neon CLI command: me

Neon CLI command: neon-auth

Neon CLI command: operations

Neon CLI command: orgs

Neon CLI command: projects

Neon CLI command: psql

Neon CLI command: roles

Neon CLI command: set-context

Neon CLI command: snapshots

Neon CLI command: status

Neon CLI command: vpc

Neon CLI quickstart

Neon CLI: Install and connect

AI & Agents

Agent Skills

AI Concepts

AI Starter Kit

AI tools for Agents

Azure Data Studio Notebooks

Claude Code plugin for Neon

Codex plugin for Neon

Connect MCP clients to Neon

Cursor plugin for Neon

Database versioning with snapshots

Get started with Lakebase Search

Google Colab

Inngest

Lakebase Search

LangChain

LlamaIndex

Neon agents for GitHub Copilot

Neon MCP Server overview

Optimize pgvector search

Scale your AI application with Neon

Semantic Kernel

Auth

Auth production checklist

Auth troubleshooting

Authentication flow

Branching authentication

Managed Better Auth

Managed Better Auth roadmap

Use Managed Better Auth with Next.js (API methods)

Use Managed Better Auth with React (API methods)

Use Managed Better Auth with TanStack Router

Next.js Server SDK Reference

UI Components Reference

Admin

Configure trusted domains

Customize emails

Email OTP

Email verification

JWT

Magic Link

Manage Managed Better Auth via the API

Open API

Organization

Password reset

Phone Number

Plugins

Set up OAuth

User management

Webhooks

Migrate from Supabase to Neon

Migrate to Managed Better Auth

Neon Functions

AI agents on Neon Functions

Deploy and manage Neon Functions

Get started with Neon Functions

Neon Functions

Neon Functions authentication

Neon Functions environment variables

Neon Functions logs

Neon Functions runtime limits

WebSockets and SSE on Neon Functions

Object Storage

Buckets

Get started with Object Storage

Neon Object Storage

Object storage authentication

Object storage logs

Object storage troubleshooting

Objects

S3 compatibility

AI Gateway

AI Gateway authentication

AI Gateway models

AI Gateway troubleshooting

Chat completions

Gemini API

Get started with Neon AI Gateway

Neon AI Gateway

OpenAI Responses API

Data API

Access control & security

Custom authentication providers

Data API Advisors

Data API troubleshooting

Generate TypeScript types from your database schema

Getting started with Neon Data API

Manage Data API

Neon Data API

Neon Data API tutorial

SQL to PostgREST Converter

Branching

Blog posts, docs, guides, and more

Branching with the Neon API

Branching with the Neon CLI

Build versioning / checkpoints for your agent

Create one branch per PR and per developer

Create one branch per preview and per test run

Manage production and staging as branches

Promote from dev to prod without conflict

The building blocks

Use branches to restore instantly

Use database branches as environments

Manage

Guides

Import

Workflows

Automate branching with GitHub Actions

Claimable database integration guide

Data anonymization

Data anonymization API reference

Data anonymization with GitHub Actions

Reference

@neon/config-runtime

Claimable Postgres by Neon

Manage Neon with Terraform

Managed Better Auth and Data API SDK

Metrics and logs reference

Migrate from @neondatabase/api-client to @neon/sdk

Neon API

Neon Management SDK

Neon RSS feeds

Neon SDKs

Postgres compatibility

Python SDK (Neon API)

Neon API OpenAPI Spec

Get started with the Neon API

Neon API key concepts

PostgreSQL

Security

Acceptable Use Policy

AI use in Neon

Compliance

HIPAA Compliance

Security overview

Security reporting

Extensions

Community

Additional Resources

Changelog

PostgreSQL Tutorial

Community Guides

FAQs

Glossary

Blog

## What is Neon's llms.txt?

Neon publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Neon offers and where to find details.

Issues

Spec

22

Sections

198

Links

34.1 KB

Size

~8.7k

Tokens

Sections: Common Queries · Introduction · Get Started · Connect · Neon CLI · AI & Agents · and 16 more

## Add Neon Docs to Your AI Assistant

Select your tool to see how to add Neon's llms.txt as a documentation source.

Cursor

 Windsurf

 Claude Code

 ChatGPT

 Zed

 Copilot

1. 1

   Open any chat or composer panel
2. 2

   Type @Docs and select "Add new doc"
3. 3

   Paste the URL: https://neon.com/llms.txt
4. 4

   Wait for the green dot (indexing complete)
5. 5

   Reference @Docs in chat when asking about Neon

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Spec Compliance 5 errors

## Frequently Asked Questions

Where is Neon's llms.txt file?

Neon publishes its llms.txt at https://neon.com/llms.txt. This file provides a structured, markdown-formatted index of Neon's documentation that AI systems can consume to understand the project's APIs, guides, and references.

How do I use Neon's llms.txt with AI coding assistants?

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Neon's documentation so it can provide better code suggestions and answers about Neon.

What does Neon's llms.txt contain?

Neon's llms.txt contains 22 sections and 198 documentation links in 34.1 KB (~8.7k tokens). Key sections include Common Queries, Introduction, Get Started, Connect, Neon CLI, AI & Agents.

How many tokens does Neon's llms.txt use?

The concise llms.txt index is approximately 8.7k tokens (34.1 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

What is Neon?

Serverless Postgres. Neon's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Neon.

Can I generate an llms.txt for my own project?

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

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## Related Tools

[<h3>llms.txt Generator</h3>Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/neon/tools/llms-txt/generator) [<h3>llms.txt Validator</h3>Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/neon/tools/llms-txt/validator)

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