Gemini Context MCP Server
About
MCP server for Cursor that leverages Gemini's much larger context window to enhance the capabilities of the AI tools
Details
- Author
- ogoldberg
- GitHub stars
- 29
- Downloads
- 296
- Categories
- AI
Jump to
- Up to 2M token context window support
- Session-based conversations with state tracking
- Semantic search for relevant context
- Automatic context and cache expiration
- Large prompt caching for cost optimization
- TTL management for cached contexts
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Gemini Context MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Requires Node.js 18+, a Gemini API key, and cloning the repository. Install dependencies (npm install), copy .env.example to .env and add your key, then build (npm run build) and start (node dist/mcp-server.js). Quick client setup commands are available for Claude Desktop, Cursor, and VS Code (e.g., npm run install:claude). For custom usage, instantiate GeminiContextServer with optional configuration.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"gemini context mcp server": {
"gemini-context-mcp-server": {
"command": "node",
"args": [
"dist/mcp-server.js"
]
}
}
}
}McpServers
{
"gemini-context-mcp-server": {
"command": "node",
"args": [
"dist/mcp-server.js"
]
}
}Gemini Context MCP Server
A powerful MCP (Model Context Protocol) server implementation that leverages Gemini's capabilities for context management and caching. This server maximizes the value of Gemini's 2M token context window while providing tools for efficient caching of large contexts.
π Features
Context Management
- Up to 2M token context window support - Leverage Gemini's extensive context capabilities - Session-based conversations - Maintain conversational state across multiple interactions - Smart context tracking - Add, retrieve, and search context with metadata - Semantic search - Find relevant context using semantic similarity - Automatic context cleanup - Sessions and context expire automaticallyAPI Caching
- Large prompt caching - Efficiently reuse large system prompts and instructions - Cost optimization - Reduce token usage costs for frequently used contexts - TTL management - Control cache expiration times - Automatic cleanup - Expired caches are removed automaticallyπ Quick Start
Prerequisites
- Node.js 18+ installed - Gemini API key (Get one here)Installation
```bash
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