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gemini-file-search-rag-mcp

by node2flow-th

Gemini File Search RAG MCP Server

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


Related MCP server: estudIA-MCP

Configuration

Environment Variable

Required

Description

GEMINI_API_KEY

Yes

Google Gemini API key (get one here)

PORT

No

Port for HTTP server (default: 3000, only used with --http)


All Tools (12 tools)

Store Management (4 tools)

Tool

Description

gemini_create_store

Create a new file search store

gemini_list_stores

List all file search stores

gemini_get_store

Get store details

gemini_delete_store

Delete a store (with optional force)

Upload & Import (2 tools)

Tool

Description

gemini_upload_to_store

Upload content directly to a store (text, base64)

gemini_import_file_to_store

Import an existing Gemini file into a store

Operations (2 tools)

Tool

Description

gemini_get_operation

Check status of a store operation

gemini_get_upload_operation

Check status of an upload operation

Document Management (3 tools)

Tool

Description

gemini_list_documents

List documents in a store

gemini_get_document

Get document details

gemini_delete_document

Delete a document from a store

RAG Query (1 tool)

Tool

Description

gemini_rag_query

Query 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

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