LLM.txt Directory
Searches and retrieves content from LLM.txt files, which contain structured documentation and API information for AI applications.
Access up-to-date API documentation efficiently.
What it does
- Search LLM.txt files by content
- List available LLM.txt documentation files
- Fetch complete content from LLM.txt files
- Perform contextual searches across documentation
Best for
About LLM.txt Directory
LLM.txt Directory is a community-built MCP server published by mcp-get that provides AI assistants with tools and capabilities via the Model Context Protocol. LLM.txt Directory — Quickly access up-to-date API documentation and developer resources for modern LLM integrations. It is categorized under ai ml, developer tools.
How to install
You can install LLM.txt Directory in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
LLM.txt Directory is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
MCP Get Community Servers
This repository contains a collection of community-maintained Model Context Protocol (MCP) servers. All servers are automatically listed on the MCP Get registry and can be viewed and installed via CLI:
npx @michaellatman/mcp-get@latest list
Note: While we review all servers in this repository, they are maintained by their respective creators who are responsible for their functionality and maintenance.
Available Servers
- LLM.txt Server - A server for searching and retrieving content from LLM.txt files. Provides tools for listing available files, fetching content, and performing contextual searches.
- Curl Server - A server that allows LLMs to make HTTP requests to any URL using a curl-like interface. Supports all common HTTP methods, custom headers, request body, and configurable timeouts.
- macOS Server - A server that provides macOS-specific system information and operations.
Installation
You can install any server using the MCP Get CLI:
npx @michaellatman/mcp-get@latest install <server-name>
For example:
npx @michaellatman/mcp-get@latest install @mcp-get-community/server-curl
Development
To run in development mode with automatic recompilation:
npm install
npm run watch
Contributing
We welcome contributions! Please feel free to submit a Pull Request.
License
While this repository's structure and documentation are licensed under the MIT License, individual servers may have their own licenses. Please check each server's documentation in the src directory for its specific license terms.
Support
If you find these servers useful, please consider starring the repository!
Alternatives
Related Skills
Browse all skillsUI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
Create new agents for the code-forge application. Agents are stored as .md files in the <cwd>/.forge/agents directory with YAML frontmatter (id, title, description, reasoning, tools, user_prompt) and markdown body containing agent instructions. Use when users need to add new agents, modify existing agents, or understand the agent file structure.
Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.