About @ragrabbit/mcp
@ragrabbit/mcp is an MCP server for searching documentation indexed by a RagRabbit instance. It is open source and self-hosted, and suits teams that want AI clients to query their own website documentation.
Key features
- 01Semantic search using natural language queries
- 02search_docs tool for documentation lookup
- 03llms.txt resource with LLM-related documentation
- 04Setup instructions for Claude Desktop and Cursor
Use cases
- 01Adding an AI-accessible search entry point to product documentation
- 02Letting a coding assistant in Cursor query project docs
- 03Retrieving product usage guides from Claude Desktop
MCP support
This project is an MCP server that exposes a search_docs tool for documentation search and an llms.txt resource describing LLM documentation to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
1Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | Yes | The search query to find relevant documents |
Details
From the project READMEMCP Server for RagRabbit Documentation Search
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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.