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securityA
license-
qualityModel Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.
Last updated -
159
JavaScript
MIT License
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
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
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
- Parameters:
- 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
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.
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