Overview
What is Gemini MCP Server?
Gemini MCP Server is a Model Context Protocol (MCP) server designed to facilitate interaction with Google's Gemini AI models through a standardized interface.
How to use Gemini MCP Server?
To use the Gemini MCP Server, clone the repository, install dependencies, configure your Google Gemini API key, and start the server either directly or via Docker.
Key features of Gemini MCP Server?
- Full support for the Model Context Protocol (MCP) specification.
- Local transport for secure connections and network transport via Docker.
- Integration with the latest Gemini API models, including function calling support.
- Resilience with retry logic for handling transient API errors.
Use cases of Gemini MCP Server?
- Enabling MCP-compatible clients to leverage Gemini's AI capabilities.
- Facilitating multi-turn conversations with Gemini models.
- Allowing function calling for advanced interactions with AI models.
FAQ from Gemini MCP Server?
- What is the Model Context Protocol?
The Model Context Protocol is a specification that standardizes how clients interact with AI models, allowing for seamless communication.
- Is there a cost to use the Gemini MCP Server?
The server itself is free to use, but you will need a Google Gemini API key, which may have associated costs depending on usage.
- What are the prerequisites for installation?
You need Node.js (version 18 or higher) and a Google Gemini API key to set up the server.