Optional Google Search integration for grounding AI responses in factual information
Provides access to Google Gemini 2.5 Pro Experimental model for content generation with customizable parameters like temperature and token limits
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Gemini MCP Servergenerate a summary of quantum computing advancements with search enabled"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Gemini MCP Server
Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model.
Features
Full MCP protocol support
Google Gemini 2.5 Pro Experimental model access
Secure API key handling
Google Search integration (optional)
Token usage reporting
TypeScript implementation
Related MCP server: MCP Gemini Server
Available Tools
The MCP server provides the following tools:
generateWithGemini - Generate content with Google Gemini 2.5 Pro Experimental
Parameters:
prompt(string, required): The prompt to send to Geminitemperature(number, optional): Temperature setting (0.0 to 1.0)maxTokens(number, optional): Maximum output tokenssafeMode(boolean, optional): Enable safe mode for sensitive topicsuseSearch(boolean, optional): Enable Google Search grounding tool
getModelInfo - Get information about the Gemini model being used
Common Issues
Connection Issues
Check that you have a valid API key
Security
API keys are handled via environment variables only
No sensitive data is logged or stored