mcp-llms-txt

What is mcp-llms-txt?

mcp-llms-txt is an MCP server for the Awesome-llms-txt collection. It adds documentation from this collection directly into conversations via MCP resources, allowing users to bring relevant knowledge into their chat without leaving the context.

How to use mcp-llms-txt?

Install via Smithery using npx -y @smithery/cli install @SecretiveShell/MCP-llms-txt --client claude or manually by adding a configuration entry to your Claude Desktop config: command uvx with args ["mcp-llms-txt"] and env PYTHONUTF8=1. No API keys or secrets are required.

Key features of mcp-llms-txt

• Provides documentation from Awesome-llms-txt via MCP resources.
• No API keys or secrets required for use.
• Simple installation via Smithery or manual JSON config.
• Works with Claude Desktop out of the box.
• Based on a curated collection of llms.txt files.

Use cases of mcp-llms-txt

• Retrieve relevant documentation without leaving a conversation.
• Incorporate curated knowledge into AI-assisted development.
• Access documentation from Awesome-llms-txt with no extra setup.
• Use with Claude Desktop for context-aware conversations.

FAQ from mcp-llms-txt

What does this server do?

It serves documentation from the Awesome-llms-txt collection into conversations via the Model Context Protocol, making the information available as MCP resources.

What are the runtime requirements?

The server runs via uvx or npx and has no external dependencies beyond the MCP client. No API keys or secrets are needed.

How do I install it for Claude Desktop?

You can use Smithery with npx -y @smithery/cli install @SecretiveShell/MCP-llms-txt --client claude or manually add the JSON config shown in the README.

Is any authentication required?

No authentication is required; the server has no access keys or secrets.

Where does the documentation come from?

The documentation is sourced from Awesome-llms-txt, a community-maintained collection of llms.txt files.