Gemini
Createdbsmi021
Exposes Google's Gemini model capabilities as standard Model Context Protocol (MCP) tools.
About
This tool provides a dedicated server that wraps the @google/genai SDK, exposing Google's Gemini model capabilities as standard Model Context Protocol (MCP) tools. It allows other LLMs or MCP-compatible systems to leverage Gemini's features as a backend workhorse by offering a consistent, tool-based interface managed via the MCP standard.
Key Features
- 3 GitHub stars
- Supports caching to optimize prompts (Google AI Studio Key Required).
- Supports function calling, enabling Gemini models to request execution of client-defined functions.
- Enables file handling (upload, list, retrieve, delete) using the Gemini API (Google AI Studio Key Required).
- Provides core text generation and streaming capabilities.
- Manages stateful chat sessions for conversational context.
Use Cases
- Leveraging Gemini for text generation, function calling, or chat in a standardized, tool-based manner.
- Integrating Gemini models with LLMs or MCP-compatible systems.
- Optimizing prompts and managing conversational context using caching and stateful chat features.
