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Independent project, not affiliated with Anthropic
node2flow-th avatar

Gemini File Search

node2flow-th/gemini-files-search-rag-mcp-community
HTTP
Summary

Connects Claude to Google's Gemini File Search API for document storage and retrieval augmented generation. You get 12 tools covering the full lifecycle: create stores, upload text or PDFs with custom metadata and chunking configs, import existing Gemini files, track async operation status, and query documents with any Gemini model using metadata filters. Runs via npx in stdio mode for Claude Desktop and Cursor, or as an HTTP server on port 3000 for remote deployments. Requires a Gemini API key from AI Studio. Useful when you need Claude to build and query knowledge bases backed by Gemini's RAG infrastructure instead of rolling your own document pipeline.

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Gemini File Search RAG MCP Server

smithery badge npm version License: MIT

MCP (Model Context Protocol) server for Google's Gemini File Search (RAG). Manage file search stores, upload documents, and query with RAG through 12 tools.

Works with Claude Desktop, Cursor, VS Code, and any MCP client.


Quick Start

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "gemini-rag": {
      "command": "npx",
      "args": ["-y", "@node2flow/gemini-file-search-rag-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Cursor / VS Code

Add to MCP settings:

{
  "mcpServers": {
    "gemini-rag": {
      "command": "npx",
      "args": ["-y", "@node2flow/gemini-file-search-rag-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

HTTP Mode (Streamable HTTP)

For remote deployment or shared access:

GEMINI_API_KEY=your_key npx @node2flow/gemini-file-search-rag-mcp --http

Server starts on port 3000 (configurable via PORT env var). MCP endpoint: http://localhost:3000/mcp


Configuration

Environment VariableRequiredDescription
GEMINI_API_KEYYesGoogle Gemini API key (get one here)
PORTNoPort for HTTP server (default: 3000, only used with --http)

All Tools (12 tools)

Store Management (4 tools)

ToolDescription
gemini_create_storeCreate a new file search store
gemini_list_storesList all file search stores
gemini_get_storeGet store details
gemini_delete_storeDelete a store (with optional force)

Upload & Import (2 tools)

ToolDescription
gemini_upload_to_storeUpload content directly to a store (text, base64)
gemini_import_file_to_storeImport an existing Gemini file into a store

Operations (2 tools)

ToolDescription
gemini_get_operationCheck status of a store operation
gemini_get_upload_operationCheck status of an upload operation

Document Management (3 tools)

ToolDescription
gemini_list_documentsList documents in a store
gemini_get_documentGet document details
gemini_delete_documentDelete a document from a store

RAG Query (1 tool)

ToolDescription
gemini_rag_queryQuery documents using RAG with Gemini models

Requirements

  • Node.js 18+
  • Google Gemini API key

How to Get a Gemini API Key

  1. Go to Google AI Studio
  2. Click "Create API key"
  3. Copy the key and use it as GEMINI_API_KEY

For Developers

git clone https://github.com/node2flow-th/gemini-files-search-rag-mcp-community.git
cd gemini-files-search-rag-mcp-community
npm install
npm run build

# Run in stdio mode
GEMINI_API_KEY=your_key npm start

# Run in dev mode (hot reload)
GEMINI_API_KEY=your_key npm run dev

# Run in HTTP mode
GEMINI_API_KEY=your_key npm start -- --http

License

MIT License - see LICENSE

Copyright (c) 2026 Node2Flow

Links

  • npm Package
  • Google AI Studio
  • MCP Protocol
  • Node2Flow
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Categories
AI & LLM ToolsDocuments & KnowledgeSearch & Web Crawling
TransportHTTP
UpdatedFeb 11, 2026
View on GitHub

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