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Gemini MCP Server

by dakrin
GitHub
JavaScript
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Integrations

  • 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:

  1. generateWithGemini - Generate content with Google Gemini 2.5 Pro Experimental
    • Parameters:
      • prompt (string, required): The prompt to send to Gemini
      • temperature (number, optional): Temperature setting (0.0 to 1.0)
      • maxTokens (number, optional): Maximum output tokens
      • safeMode (boolean, optional): Enable safe mode for sensitive topics
      • useSearch (boolean, optional): Enable Google Search grounding tool
  2. getModelInfo - Get information about the Gemini model being used

Common Issues

  1. 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

-
security - not tested
F
license - not found
-
quality - not tested

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.

  1. Features
    1. Available Tools
      1. Common Issues
        1. Security

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