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Gemini MCP Server

by lucky-dersan

Gemimi MCP Server (in Python)

Model Context Protocol (MCP) server for Gemimi integration, built on FastMCP.

This server is implemented in Python, with fastmcp.

Quick Start

  1. Build the Docker image:
docker build -t gemini-mcp-server .

Integration with Cursor/Claude

In MCP Settings -> Add MCP server, add this config:

{ "mcpServers": { "gemini": { "command": "docker", "args": [ "run", "--rm", "-i", "--network", "host", "-e", "GEMINI_API_KEY", "-e", "GEMINI_MODEL", "-e", "GEMINI_BASE_URL", "-e", "HTTP_PROXY", "-e", "HTTPS_PROXY", "gemini-mcp-server:latest" ], "env": { "GEMINI_API_KEY":"your_api_key_here", "GEMINI_MODEL":"gemini-2.5-flash", "GEMINI_BASE_URL":"https://generativelanguage.googleapis.com/v1beta/openai/", "HTTP_PROXY":"http://127.0.0.1:17890", "HTTPS_PROXY":"http://127.0.0.1:17890" } } } }

Note: Don't forget to replace GEMINI_API_KEYGEMINI_MODELGEMINI_BASE_URLHTTP_PROXYHTTPS_PROXY values with your actual Gemimi credentials and instance URL.

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

A Python-based MCP server that enables integration of Gemini AI models with MCP-compatible applications like Cursor/Claude, allowing for interaction with Gemini APIs through the Model Context Protocol.

  1. Quick Start
    1. Integration with Cursor/Claude

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