How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
stack-authllms.txtstack-auth/stack-auth/docs-mintlify/llms.txt
docs.hexclave.com): Browse the docs, or add `.md` to a page URL for markdown - [MCP server](https://mcp.hexclave.com): Hexclave documentation for MCP clients
No other project uses it yet
irinabuht12-ossllms.txtirinabuht12-oss/google-meta-ads-ga4-mcp/llms.txt
Ryze AI MCP connector > Hosted Model Context Protocol server for Google Ads, Meta Ads (Facebook and Instagram), Google Analytics 4 and Google Search Console. Endpoint https://connector.get-ryze.ai/mcp, Streamable HTTP
1 project uses a version of this
builderz-labsllms.txtbuilderz-labs/mission-control/public/llms.txt
cost tracking with per-model breakdowns - Natural language recurring tasks with cron scheduling - MCP server with 35+ tools for agent integration - CLI for headless/scripted usage - Role-based access control (viewer
No other project uses it yet
wesmllms.txtwesm/agentsview/docs/llms.txt
signals, and recall, served through a web UI, desktop app, CLI, REST API, and MCP server. Every public page is also published as raw Markdown at the route listed below
Steady8 mentions in 2 weeks
No other project uses it yet
FlorianBruniauxPipes a download into a shellllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms-full.txt
task in 15 minutes - **Intermediate**: Configure CLAUDE.md memory files, custom agents, hooks - **Power users**: MCP servers, Trinity pattern, CI/CD integration, multi-agent workflows - **Tech leads**: Team adoption, security hardening, governance
FlorianBruniauxllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms.txt
documentation for Claude Code CLI by Anthropic. Covers beginner to advanced: hooks, skills, agents, MCP servers, context engineering, memory systems, multi-agent orchestration, and production patterns. Guide version 3.45.2, tracking
Q00Reads credentialsllms.txtQ00/ouroboros/llms-full.txt
mapping. ### ooo (Claude Code skills — run inside a Claude Code session) ooo setup Register MCP server, configure project (one-time) ooo interview Socratic questioning — expose hidden assumptions ooo seed Crystallize
Steady29 mentions in 2 weeks
No other project uses it yet
Q00llms.txtQ00/ouroboros/llms.txt
graph components/ # Event log, progress, token tracker, agents panel mcp/ # Model Context Protocol integration server/ # MCP server with security client/ # MCP client manager, protocol, adapter tools/ # Tool registry, dashboard tools
Steady29 mentions in 2 weeks
No other project uses it yet
HelixDBPipes a download into a shellllms.txtHelixDB/helix-db/docs/llms-full.txt
# HelixDB > HelixDB combines a property graph, approximate vector search, and BM25 full-text search
HelixDBPipes a download into a shellllms.txtHelixDB/helix-db/docs/llms.txt
text search behind one operation-tree query model. Requests run through Cloud, a local server, or the embedded runtime. Quickstart (local instance requires Docker or Podman): macOS and Linux: ```bash
AgentOps-AIReads credentialsllms.txtAgentOps-AI/agentops/llms.txt
# AgentOps > AgentOps is the developer favorite platform for testing, debugging, and deploying AI agents
Steady6 mentions in 2 weeks
No other project uses it yet
Mathieu2301llms.txtMathieu2301/TradingView-API/llms.txt
prompt, or installs the library. It is not a market-data query CLI. No MCP server or hosted trading API is shipped, and the library places no orders. Questions
OpenBMBPipes a download into a shellllms.txtOpenBMB/UltraRAG/docs/llms.txt
This file is a merged representation of the entire codebase, combining all repository files
KnockOutEZllms.txtKnockOutEZ/wigolo/llms.txt
wigolo > wigolo is a local-first web-intelligence server for AI agents: web search, page fetch, site crawl, structured extraction, hybrid semantic discovery, multi-step research, autonomous data gathering, page
No other project uses it yet
eugeniughelburReads credentialsllms.txteugeniughelbur/obsidian-second-brain/llms.txt
recall, every command real-tested; ships the Hermes native-skills build and the MCP vault server. https://github.com/eugeniughelbur/obsidian-second-brain/releases/tag/v0.11.0 - v0.10.0 (2026-05-31) "The Architect": `/obsidian-architect` scans a codebase into
Steady9 mentions in 2 weeks
No other project uses it yet
melgarafaelllms.txtmelgarafael/DeskcommCRM/public/llms.txt
budget; self-improvement loop (resolved conversations feed the knowledge base) - MCP: internal MCP server today; public MCP contract on the roadmap — any AI agent can operate the CRM - WhatsApp
Steady4 mentions in 2 weeks
No other project uses it yet
langwatchReads credentialsllms.txtlangwatch/langwatch/docs/llms-full.txt
project id in the environment. The SDKs and the MCP server read both. ```bash .env LANGWATCH_API_KEY="sk-lw-..." LANGWATCH_PROJECT_ID="your-project-id" ``` The project
langwatchllms.txtlangwatch/langwatch/docs/llms.txt
assistant. Instrument code, version prompts, run scenarios, inspect traces, query analytics, and more. - [LangWatch MCP Server](https://langwatch.ai/docs/integration/mcp.md): Use the LangWatch MCP Server to extend your coding assistant with
mock-serverllms.txtmock-server/mockserver/jekyll-www.mock-server.com/llms-full.txt
MockServer > MockServer is an open-source HTTP(S) mock server, recording proxy, and **MCP (Model Context Protocol) server for AI coding assistants**. It enables easy mocking of any system
No other project uses it yet
mock-serverllms.txtmock-server/mockserver/jekyll-www.mock-server.com/llms.txt
streams — no code changes - [AI Protocol Mocking (MCP & A2A)](https://www.mock-server.com/mock_server/ai_protocol_mocking.html): Mock MCP servers and A2A agent-to-agent endpoints (over SSE, WebSocket, and JSON-RPC) to test
No other project uses it yet
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.
