RAG Document Search
Enables semantic search and question-answering over uploaded documents using vector embeddings and Google AI. Supports document organization with tags, section-aware queries, and hierarchical markdown structure preservation.
What is RAG Document Search?
RAG Document Search is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search and question-answering over uploaded documents using vector embeddings and google ai. supports document organization with tags, section-aware queries, and hierarchical markdown...
Enables semantic search and question-answering over uploaded documents using vector embeddings and Google AI. Supports document organization with tags, section-aware queries, and hierarchical markdown structure preservation.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables semantic search and question-answering over uploaded
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx rag-document-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAG Document Search
What is RAG Document Search?
RAG Document Search is a Model Context Protocol (MCP) server that enables semantic search and question-answering over uploaded documents using vector embeddings and google ai. supports document organization with tags, section-aware queries, and hierarchical markdown structure preservation. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAG Document Search?
Follow the installation instructions on the RAG Document Search GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RAG Document Search?
RAG Document Search works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAG Document Search free to use?
Yes, RAG Document Search is open source and available under the MIT 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 Document Search 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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