Gemini Context MCP Server
by ogoldberg
A powerful MCP server leveraging Gemini for context management and caching. It maximizes Gemini's 2M token context window and provides tools for efficient caching of large contexts.
Last updated: N/A
What is Gemini Context MCP Server?
This is an MCP (Model Context Protocol) server implementation that leverages Gemini's capabilities for context management and caching. It allows you to maintain conversational state, efficiently reuse large prompts, and optimize costs by caching frequently used contexts.
How to use Gemini Context MCP Server?
To use this server, you need Node.js 18+ and a Gemini API key. Clone the repository, install dependencies, configure the environment variables, build the server, and start it. You can then integrate it with MCP-compatible clients like Claude Desktop, Cursor, or VS Code. Example scripts are provided for testing context management and caching features.
Key features of Gemini Context MCP Server
Up to 2M token context window support
Session-based conversations
Large prompt caching
Cost optimization
Semantic search
Automatic context cleanup
Use cases of Gemini Context MCP Server
Maintaining conversational context in AI applications
Caching large system prompts for cost reduction
Integrating Gemini with development environments like Cursor and VS Code
Building AI assistants with memory and context awareness
FAQ from Gemini Context MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a standard for managing context in AI models.
How do I get a Gemini API key?
How do I get a Gemini API key?
You can obtain a Gemini API key from the Google AI Studio website.
What clients are compatible with this server?
What clients are compatible with this server?
This server is compatible with any MCP-compatible client, including Claude Desktop, Cursor, and VS Code.
How do I configure the server?
How do I configure the server?
The server is configured using environment variables, such as the Gemini API key, model settings, and server settings. See the README for details.
How do I test the server?
How do I test the server?
The repository includes example scripts for testing basic context management and caching features. You can run these scripts using Node.js.