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

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_KEY、GEMINI_MODEL、GEMINI_BASE_URL、HTTP_PROXY、HTTPS_PROXY values with your actual Gemimi credentials and instance URL.