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Mcp Llms Txt

@SecretiveShellon 9 months ago
19 MIT
FreeCommunity
AI Systems
MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

Overview

What is Mcp Llms Txt

MCP-llms-txt is an MCP server designed for integrating documentation directly into conversations using the Awesome-llms-txt framework. It facilitates seamless access to resources during interactions.

Use cases

Use cases for MCP-llms-txt include enhancing chatbots with real-time documentation, improving user interactions in customer support applications, and providing contextual information in educational tools.

How to use

To use MCP-llms-txt, install it via Smithery with the command ‘npx -y @smithery/cli install @SecretiveShell/MCP-llms-txt --client claude’. Alternatively, you can set it up manually by configuring your Claude settings as specified in the documentation.

Key features

Key features include direct documentation integration into conversations, easy installation via Smithery, and compatibility with Claude Desktop. It also supports testing through mcp-cli.

Where to use

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Content

mcp-llms-txt

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MCP server for Awesome-llms-txt. Add documentation directly into your conversation via mcp resources.

MCP-llms-txt MCP server

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.

Tools

No tools

Comments

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