MCP Analytics Middleware

A simple way to track and visualize how your MCP server is being used. See which tools are most popular, catch errors early, and understand your server's performance.

Features

• 🔍 Track all tool calls and resource requests
• 📊 See performance metrics and error rates
• 🌐 Beautiful web dashboard for live analytics
• 💾 SQLite database for persistent storage

Quick Start

1. Install the package:

yarn add mcp-analytics-middleware

2. Add it to your MCP server:

import { McpAnalytics } from 'mcp-analytics-middleware';

let server = new McpServer({ 
name: 'Sample MCP Server with Analytics',
version: '1.0.0'
});

const analytics = new McpAnalytics('analytics.db');

server = analytics.enhance(server); // override tool and resource function implementation to record usage in sqlite

Live Analytics

Want to see a dashboard for a Tyescript SDK MCP Server making use of this middleware? You can directly provide a live dashboard using

npx -p mcp-analytics-middleware web-viewer --db-path analytics.db

The web dashboard will open at http://localhost:8080 and show you live analytics!

You'll see:

• Total tool calls and resource requests
• Error rates and performance metrics
• Most used tools and slowest operations
• Daily usage patterns
• And it all updates automatically every 5 seconds!

Example Implementations

Example implementatinos of the analytics middleware can be found.

1. Dummy Caluclator Server Example src/server.ts
2. Ethereum RPC MCP Server with Analytics server/index.ts_
3. Forked Verision of the Google Maps MCP Server with additional Analytics Middleware src/google-maps/index.ts

Running with Inspector

If you're using the MCP Inspector, just add the analytics flag:

yarn inspector

License

MIT