Overview
What is Gemini Context MCP Server?
Gemini Context MCP Server is a powerful implementation of the Model Context Protocol (MCP) that leverages Gemini's capabilities for context management and caching, maximizing the value of Gemini's 2M token context window.
How to use Gemini Context MCP Server?
To use the server, clone the repository, install dependencies, set up your environment variables with your Gemini API key, and start the server using Node.js.
Key features of Gemini Context MCP Server?
- Up to 2M token context window support for extensive context capabilities.
- Session-based conversations to maintain conversational state.
- Smart context tracking with metadata for adding, retrieving, and searching context.
- Semantic search for finding relevant context using similarity.
- Automatic context cleanup for expired sessions and contexts.
- Efficient caching of large prompts to optimize costs.
Use cases of Gemini Context MCP Server?
- Managing conversational AI sessions with context retention.
- Caching frequently used prompts to reduce token usage costs.
- Integrating with various MCP-compatible clients like Claude Desktop and VS Code.
FAQ from Gemini Context MCP Server?
- What is the maximum context size supported?
The server supports a maximum context size of 2M tokens.
- Is there a cost associated with using the Gemini API?
Yes, using the Gemini API may incur costs based on usage.
- Can I integrate this server with other tools?
Yes, it can be integrated with various MCP-compatible clients.