A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with Google's Gemini model using direct API calls.
- Uses direct calls to the Gemini API (no deprecated SDK)
- Supports the latest Gemini 2.0 Flash model
- Implements MCP protocol for seamless integration with Claude
- Maintains conversation context for natural interactions
From server: gemini
Generate text using Gemini model with configurable parameters.
- Node.js 18 or higher
- Google Gemini API key
- TypeScript
- Claude Desktop app
- Clone the repository:
git clone https://github.com/YOUR-USERNAME/gemini-mcp-server.git
cd gemini-mcp-server
- Install dependencies:
npm install
- Build:
npm run build
To use this server with Claude Desktop:
- Open Claude Desktop
- Go to Settings > Developer
- Click "Edit Config"
- Add the following configuration:
"gemini": {
"command": "node",
"args": ["path\\to\\dist\\gemini_mcp_server.js"],
"env": {
"GEMINI_API_KEY": "gemini_api_key"
},
"cwd": "path\\to\\gemini-mcp-server"
}
Replace:
/path/to/gemini-mcp-server
with the absolute path to your repositoryyour_api_key_here
with your actual Google Gemini API key
The server will now be available in Claude Desktop's MCP server list.
This server uses direct HTTP requests to the Gemini API endpoint. The API request format follows Google's official documentation:
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=GEMINI_API_KEY" \
-H 'Content-Type: application/json' \
-X POST \
-d '{
"contents": [{
"parts":[{"text": "Explain how AI works"}]
}]
}'
You can test the direct API implementation using the example script:
node dist/example_direct_api.js "Your prompt here"
MIT