-
securityA
license-
qualityModel Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.
Last updated -
182
JavaScript
MIT License
Provides integration with Google's Gemini AI models, enabling access to models like gemini-2.5-flash through Google's generative language API.
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:
Integration with Cursor/Claude
In MCP Settings -> Add MCP server, add this config:
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.
This server cannot be installed
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 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.
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