RAG Docs
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural langua
What is RAG Docs?
RAG Docs is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol (mcp) server that enables semantic search and retrieval of documentation using a vector database (qdrant). this server allows you to add documentation from urls or local files a...
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural langua
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol (MCP) server that enables semantic
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @hannesrudolph/mcp-ragdocsManual Installation
npx -y @hannesrudolph/mcp-ragdocsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAG Docs
What is RAG Docs?
RAG Docs is a Model Context Protocol (MCP) server that model context protocol (mcp) server that enables semantic search and retrieval of documentation using a vector database (qdrant). this server allows you to add documentation from urls or local files and then search through them using natural langua It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAG Docs?
Install via npm with the command: npx -y @hannesrudolph/mcp-ragdocs. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with RAG Docs?
RAG Docs works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAG Docs free to use?
Yes, RAG Docs is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up RAG Docs in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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