Gemini RAG MCP Server
Enables creation and querying of knowledge bases using Google's Gemini API File Search feature, allowing AI applications to upload documents and retrieve information through RAG (Retrieval-Augmented Generation).
What is Gemini RAG MCP Server?
Gemini RAG MCP Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables creation and querying of knowledge bases using google's gemini api file search feature, allowing ai applications to upload documents and retrieve information through rag (retrieval-augmented g...
Enables creation and querying of knowledge bases using Google's Gemini API File Search feature, allowing AI applications to upload documents and retrieve information through RAG (Retrieval-Augmented Generation).
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables creation and querying of knowledge bases using Googl
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx gemini-rag-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Gemini RAG MCP Server
What is Gemini RAG MCP Server?
Gemini RAG MCP Server is a Model Context Protocol (MCP) server that enables creation and querying of knowledge bases using google's gemini api file search feature, allowing ai applications to upload documents and retrieve information through rag (retrieval-augmented generation). It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Gemini RAG MCP Server?
Follow the installation instructions on the Gemini RAG MCP Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Gemini RAG MCP Server?
Gemini RAG MCP Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Gemini RAG MCP Server free to use?
Yes, Gemini RAG MCP Server is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up Gemini RAG MCP Server 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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