Gemini Context
An MCP server implementation that maximizes Gemini's 2M token context window with tools for efficient context management and caching across multiple AI client applications.
What is Gemini Context?
Gemini Context is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server implementation that maximizes gemini's 2m token context window with tools for efficient context management and caching across multiple ai client applications.
An MCP server implementation that maximizes Gemini's 2M token context window with tools for efficient context management and caching across multiple AI client applications.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server implementation that maximizes Gemini's 2M toke
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx gemini-context-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Gemini Context
What is Gemini Context?
Gemini Context is a Model Context Protocol (MCP) server that mcp server implementation that maximizes gemini's 2m token context window with tools for efficient context management and caching across multiple ai client applications. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Gemini Context?
Follow the installation instructions on the Gemini Context GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Gemini Context?
Gemini Context works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Gemini Context free to use?
Yes, Gemini Context is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Gemini Context in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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