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Gemini MCP Server

by D-Diaa
GitHub
Python
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Gemini MCP Server

A Model Context Protocol (MCP) server that enables Claude to interact with Google's Gemini AI models.

Inspired from this GitHub repo

Setup

  1. Get a Gemini API key from Google AI Studio
  2. Add to Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{ "mcpServers": { "gemini": { "command": "uvx", "args": ["--from", "/path/to/gemini-mcp", "gemini-mcp"], "env": { "GEMINI_API_KEY": "your_api_key_here", "MODEL_NAME": "gemini-2.5-flash-preview-05-20" } } } }

Replace /path/to/gemini-mcp with the actual path to this directory.

Usage

ask_gemini

Ask Gemini questions directly from Claude.

  • prompt: Your question for Gemini
  • temperature: Response creativity (0.0-1.0, default: 0.5)
  • context: Additional context
  • persona: Role for Gemini (e.g., "senior architect", "security expert")

server_info

Check server status and Gemini availability.

Examples

Ask Gemini: What are the latest trends in machine learning? Ask Gemini to review this code as a senior developer: [code] Ask Gemini about Python best practices with context that I'm building a web API

Troubleshooting

  • API key error: Set GEMINI_API_KEY in your environment
  • Rate limit: Wait and try again
  • Content filtered: Rephrase your request
  • Server issues: Use server_info tool to check status

This server cannot be installed

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

A Model Context Protocol server that enables Claude to interact with Google's Gemini AI models, allowing users to ask Gemini questions directly from Claude.

  1. Setup
    1. Usage
      1. ask_gemini
      2. server_info
    2. Examples
      1. Troubleshooting

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