@ragrabbit/mcp

This server implements the Model Context Protocol (MCP) to provide AI models with access to any documentation indexed with an instance of RagRabbit.

Overview

The MCP Server acts as a bridge between AI clients and RagRabbit's hosted documentation:

  • Semantic search across documentation using natural language queries
  • Access to LLM-specific documentation
  • Standardized communication through the Model Context Protocol

Installation

Claude Desktop

Add a custom mcp server with the name of your product, so that Claude AI can use it when looking for info about it.

in claude_desktop_config.json (Claude -> Settings -> Developer -> Edit Config)

{ "mcpServers": { "<name_of_your_documentation_no_spaces>": { "command": "npx", "args": ["@ragrabbit/mcp", "http://<RagRabbit install>/", "<name of your documentation>"] } } }

In Cursor IDE

Go to Cursor -> Settings -> Cursor Settings -> MCP

And add a new MCP of type command with the command:

npx @ragrabbit/mcp", "http://<RagRabbit install>/", "<name of your documentation>"

Arguments:

  • ragrabbit-url: (Required) The base URL of your RagRabbit instance, eg https://my-ragrabbit.vercel.com/
  • name: (Required) Custom name for the documentation search service (defaults to "RagRabbit") so that AI will know to use it when looking for info

Exposed Tools by this MCP

search_docs

Performs semantic search across the documentation.

Parameters:

  • query: String - The search query to find relevant documents

Example:

{ "name": "search_docs", "arguments": { "query": "How to implement authentication?" } }

Available Resources

LLMs Documentation

  • URI: llms.txt
  • Description: Documentation about LLMs and their capabilities
  • MIME Type: text/plain

License

MIT

-
security - not tested
A
license - permissive license
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Access any documentation indexed by RagRabbit Open Source AI site search

  1. Overview
    1. Installation
      1. Claude Desktop
      2. In Cursor IDE
    2. Exposed Tools by this MCP
      1. search_docs
    3. Available Resources
      1. LLMs Documentation
    4. License

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