# Clone the repository
git clone https://github.com/ogoldberg/gemini-context-mcp-server
cd gemini-context-mcp-server

# Install dependencies
npm install

# Copy environment variables example
cp .env.example .env

# Add your Gemini API key to .env file
# GEMINI_API_KEY=your_api_key_here

# Build the server
npm run build

# Start the server
node dist/mcp-server.js

# Install and configure for Claude Desktop
npm run install:claude

# Install and configure for Cursor
npm run install:cursor

# Install and configure for VS Code
npm run install:vscode

import { GeminiContextServer } from './src/gemini-context-server.js';

async function main() {
  // Create server instance
  const server = new GeminiContextServer();
  
  // Generate a response in a session
  const sessionId = "user-123";
  const response = await server.processMessage(sessionId, "What is machine learning?");
  console.log("Response:", response);
  
  // Ask a follow-up in the same session (maintains context)
  const followUp = await server.processMessage(sessionId, "What are popular algorithms?");
  console.log("Follow-up:", followUp);
}

main();

// Custom configuration
const config = {
  gemini: {
    apiKey: process.env.GEMINI_API_KEY,
    model: 'gemini-2.0-pro',
    temperature: 0.2,
    maxOutputTokens: 1024,
  },
  server: {
    sessionTimeoutMinutes: 30,
    maxTokensPerSession: 1000000
  }
};

const server = new GeminiContextServer(config);

// Create a cache for large system instructions
const cacheName = await server.createCache(
  'Technical Support System',
  'You are a technical support assistant for a software company...',
  7200 // 2 hour TTL
);

// Generate content using the cache
const response = await server.generateWithCache(
  cacheName,
  'How do I reset my password?'
);

// Clean up when done
await server.deleteCache(cacheName);

{
  "name": "gemini-context",
  "version": "1.0.0",
  "description": "Gemini context management and caching MCP server",
  "entrypoint": "dist/mcp-server.js",
  "capabilities": {
    "tools": true
  },
  "manifestPath": "mcp-manifest.json",
  "documentation": "README-MCP.md"
}

# Required
GEMINI_API_KEY=your_api_key_here
GEMINI_MODEL=gemini-2.0-flash

# Optional - Model Settings
GEMINI_TEMPERATURE=0.7
GEMINI_TOP_K=40
GEMINI_TOP_P=0.9
GEMINI_MAX_OUTPUT_TOKENS=2097152

# Optional - Server Settings
MAX_SESSIONS=50
SESSION_TIMEOUT_MINUTES=120
MAX_MESSAGE_LENGTH=1000000
MAX_TOKENS_PER_SESSION=2097152
DEBUG=false

# Build TypeScript files
npm run build

# Run in development mode with auto-reload
npm run dev

# Run tests
npm test