mcp-gemini-server
The MCP Gemini Server is an MCP-compatible server that simplifies integration with Google's Gemini models for other language learning models and systems. It provides a consistent interface to leverage Gemini's capabilities, including text and image generation, audio transcription, and URL processing. Designed to be a robust backend solution, it offers extensive tools and features to enhance content processing and interaction.
What is the MCP Gemini Server?
The MCP Gemini Server is a dedicated server that integrates with the @google/genai SDK to expose Google's Gemini model capabilities as standard MCP tools, allowing other LLMs or MCP-compatible systems to leverage Gemini's features.
What models does the MCP Gemini Server support?
The server supports the latest Gemini models, including gemini-1.5-pro-latest, gemini-1.5-flash-latest, and gemini-2.5-pro models.
What are the key features of the MCP Gemini Server?
Key features include core generation, function calling, stateful chat, file handling, and image generation.
How does the server handle file operations securely?
The server uses path validation and isolation, path traversal protection, and symlink security to ensure file operations are secure and restricted to allowed directories.
What are the prerequisites for using the MCP Gemini Server?
Prerequisites include Node.js (v18 or later) and an API Key from Google AI Studio.