Gemini MCP Server
MCP (Model Control Protocol) server integrating with Google's Gemini API
Overview
What is Gemini MCP Server?
Gemini MCP Server is a Model Control Protocol (MCP) server that integrates with Google's Gemini API, designed to facilitate advanced interactions with AI models.
How to use Gemini MCP Server?
To use the Gemini MCP Server, clone the repository, build the server using Go, and configure it with your Google Gemini API key. You can then connect it to any MCP-compatible client like Claude Desktop.
Key features of Gemini MCP Server?
- Single Self-Contained Binary: Compiles to a single binary with no dependencies.
- Dynamic Model Access: Automatically fetches the latest Gemini models at startup.
- Advanced Context Handling: Efficient caching system for repeated queries.
- Enhanced File Handling: Intelligent MIME detection for seamless file integration.
- Production Reliability: Robust error handling and automatic retries.
Use cases of Gemini MCP Server?
- Code analysis and debugging using the
gemini_asktool. - Factual research with the
gemini_searchtool. - Creative writing assistance through customized prompts.
- Managing multiple caches for different project components.
FAQ from Gemini MCP Server?
- What is required to run the server?
You need a Google Gemini API key and a compatible client for configuration.
- Can I use it for different programming languages?
Yes, it can analyze code in various languages as long as the files are provided.
- Is there support for caching?
Yes, the server supports caching for efficient context management.
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