MCP Ragdocs

Community

Vector search for documentation retrieval.

About MCP Ragdocs MCP Server

MCP Ragdocs is an MCP server in the RAG & Knowledge category. It exposes python, local to connected AI applications, enabling them to interact with mcp ragdocs capabilities through the standardized Model Context Protocol.

Features

Python
Local

Category

RAG & Knowledge
Getting Started

To use the MCP Ragdocs MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the MCP Ragdocs MCP server
  3. Authenticate with your MCP Ragdocs credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the MCP Ragdocs MCP server
const server = await mcp.connect("mcp ragdocs");

// List available tools
const tools = await server.tools.list();

// List available resources
const resources = await server.resources.list();

// List available prompts
const prompts = await server.prompts.list();
                      
Installation

npm

npm install @mcp/server-mcp ragdocs

pip

pip install mcp-server-mcp ragdocs
Compatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client