Gemini MCP Server
by aliargun
This is a Model Context Protocol (MCP) server implementation that allows Claude Desktop to interface with Google's Gemini AI models. It enables Claude Desktop to leverage the capabilities of Gemini.
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What is Gemini MCP Server?
The Gemini MCP Server is a bridge that allows Claude Desktop to communicate with and utilize Google's Gemini AI models. It implements the Model Context Protocol (MCP) to facilitate this interaction.
How to use Gemini MCP Server?
To use the server, you need a Gemini API key from Google AI Studio. Then, configure Claude Desktop by adding a Gemini configuration to the claude_desktop_config.json file, specifying the command, arguments, and environment variable for the API key. Finally, restart Claude Desktop.
Key features of Gemini MCP Server
Full MCP protocol support
Real-time response streaming
Secure API key handling
Configurable model parameters
Use cases of Gemini MCP Server
Integrating Gemini AI models with Claude Desktop
Leveraging Gemini's capabilities within the Claude environment
Enabling Claude to utilize advanced AI models
Extending Claude's functionality with external AI services
FAQ from Gemini MCP Server
What if I have connection issues?
What if I have connection issues?
Check if port 3005 is available, verify your internet connection, and consult the Troubleshooting Guide.
What if my API key doesn't work?
What if my API key doesn't work?
Verify that your API key is correct, check its permissions, and refer to the Setup Guide.
How are API keys handled?
How are API keys handled?
API keys are handled securely via environment variables only.
Is any sensitive data logged or stored?
Is any sensitive data logged or stored?
No sensitive data is logged or stored by the server.
How can I contribute to the project?
How can I contribute to the project?
Contributions are welcome! Please see our Contributing Guide for more information.