Gemini
Provides a Model Context Protocol (MCP) server for seamless integration with Gemini's AI models.
关于
This Python-based Model Context Protocol (MCP) server simplifies the integration of Gemini's powerful AI models into various development environments. Built upon FastMCP, it acts as a bridge, allowing applications like Cursor or Claude to leverage Gemini's capabilities by configuring a simple JSON setup. It supports critical environment variables for API keys, model selection, base URLs, and proxy settings, streamlining the process of connecting to Gemini services within an AI development workflow.
主要功能
- 1 GitHub stars
- Integrates Gemini via Model Context Protocol (MCP)
- Built with FastMCP for efficient communication
- Implemented entirely in Python
- Docker image for easy deployment
- Configurable via environment variables for API key, model, base URL, and proxies
使用案例
- Establishing a local MCP server for Gemini-powered applications
- Connecting Gemini to AI-powered code editors like Cursor
- Integrating Gemini with AI assistance tools such as Claude