How real projects summarise themselves for language models.
garrytanllms.txtgarrytan/gstack/gstack/llms.txt
this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. - [/ship](ship/SKILL.md): Ship workflow: detect + merge base branch, run tests
koala73llms.txtkoala73/worldmonitor/public/llms.txt
layers, a plain LLM is cheaper and faster. **How an agent should call it:** - [MCP server (recommended)](https://worldmonitor.app/mcp): Streamable HTTP; issue `tools/list` for the live inventory. Auth: OAuth2
headroomlabs-aillms.txtheadroomlabs-ai/headroom/llms.txt
before they reach the model. Same answers, 60–95% fewer tokens. Library, proxy, and MCP server. Apache 2.0, local-first. Headroom is shipped as a Python package (`headroom
DeusDatallms.txtDeusData/codebase-memory-mcp/docs/llms.txt
codebase-memory-mcp > An open-source Model Context Protocol (MCP) server that indexes a codebase into a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service
OpenAIllms.txtopenai/openai-agents-python/docs/llms-full.txt
tool contexts, and test tool execution paths. - [Model Context Protocol](https://openai.github.io/openai-agents-python/mcp/): Integrate MCP servers so agents can dynamically request data or actions from external providers via a standard
OpenAIllms.txtopenai/openai-agents-python/docs/llms.txt
manage schemas, and work with tool contexts. - [Model Context Protocol](https://openai.github.io/openai-agents-python/mcp/): Connect MCP servers so agents can request external data or actions through standardized tool APIs. ## Operations
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms-full.txt
sync scripts in `scripts/`. Supported targets include: - **Claude Code** (primary) — plugins, agents, slash commands, MCP servers, hooks - **OpenAI Codex** — `scripts/sync-codex-skills.py`, `~/.codex/` - **Gemini CLI** — `scripts/sync-gemini-skills.py` - **Cursor** — rules-format export - **Hermes Agent
Evil0ctalllms.txtEvil0ctal/Douyin_TikTok_Download_API/llms.txt
Douyin (抖音) and TikTok. One `docker compose up` > gives you a REST API, an MCP server and a web console, backed by an identity > pool (cookies + proxies + fingerprints) that mints
tonhowtfllms.txttonhowtf/omniget/llms.txt
permissions, undo, durable jobs, loops that repeat until a test command passes, an embedded MCP server with 49 tools, and an isometric house called the World where the agents
corsairdevllms.txtcorsairdev/corsair/docs/llms.txt
docs.corsair.dev/mcp-adapters/claude-sdk.md): Use Corsair with the Claude Agent SDK via an in-process MCP server. - [Vercel AI SDK](https://docs.corsair.dev/mcp-adapters/vercel-ai.md): Connect Corsair to the Vercel AI SDK over HTTP
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
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
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 3.43.0, tracking
kenn-iollms.txtkenn-io/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
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
txn2llms.txttxn2/kubefwd/docs/llms-full.txt
kubefwd.internal/api` ## Key Endpoints ### Health & Info - `GET /api/health` - Health check - `GET /api/info` - Server information ### Services - `GET /api/v1/services` - List forwarded services - `GET /api/v1/services/:key` - Get specific service - `POST /api/v1/services` - Add service
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
flypythoncomllms.txtflypythoncom/python/llms.txt
stateless 2026-07-28 MCP tool server in pure Python — reuses the reviewed mcp-server example core (EN+ZH). - `courses/da-eda/`: Exploratory data analysis with pandas over a messy shop export
Microsoftllms.txtmicrosoft/skills/docs/llms-full.txt
Azure text translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/text-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Azure document translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/document-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Connect to MCP server](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/model-context-protocol?view=foundry) - [MCP authentication](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/mcp-authentication?view=foundry) - [Build your own MCP server
Microsoftllms.txtmicrosoft/skills/docs/llms.txt
Azure text translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/text-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Azure document translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/document-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Connect to MCP server](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/model-context-protocol?view=foundry) - [MCP authentication](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/mcp-authentication?view=foundry) - [Build your own MCP server
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.
