
Llms.txt
Retrieves structured documentation from websites' llms.txt files and converts Git repositories into text summaries for AI consumption.
Integrates with Awesome-llms-txt to enhance conversations by incorporating relevant documentation snippets for improved technical support, code explanations, and educational dialogues.
What it does
- Fetch llms.txt documentation from any domain
- Convert Git repositories to text digests
- Access real-time documentation updates
- Retrieve standardized AI-optimized content
Best for
About Llms.txt
Llms.txt is a community-built MCP server published by secretiveshell that provides AI assistants with tools and capabilities via the Model Context Protocol. Llms.txt boosts technical support by integrating documentation snippets for better code explanations and educational con It is categorized under productivity.
How to install
You can install Llms.txt 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
Llms.txt is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
mcp-llms-txt
MCP server for Awesome-llms-txt. Add documentation directly into your conversation via mcp resources.
Installation
View a setup guide + example usage on pulsemcp.com
Installing via Smithery
To install MCP Server for Awesome-llms-txt for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @SecretiveShell/MCP-llms-txt --client claude
Manual Installation
Setup your claude config like this:
{
"mcpServers": {
"mcp-llms-txt": {
"command": "uvx",
"args": ["mcp-llms-txt"],
"env": {
"PYTHONUTF8": "1"
}
}
}
}
testing
Use mcp-cli to test the server:
npx -y "@wong2/mcp-cli" -c config.json
The config file is already setup and does not need to be changed since there are no api keys or secrets.
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
License
This project is licensed under the MIT License.
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