MCP Analytics Middleware

Name: MCP Analytics Middleware
Author: Phillip-Kemper

@Phillip-Kemper

关于 MCP Analytics Middleware

A lightweight TypeScript middleware for MCP SDK servers that delivers analytics. Captures request metrics, performance data, and usage patterns with minimal overhead. Features real-time monitoring, configurable data collection, and detailed reporting - all with full type safety.

基本信息

分类

数据与分析

许可证

MIT

运行时

node

传输方式

stdio

发布者

Phillip-Kemper

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-analytics-middleware": {
      "command": "npx",
      "args": [
        "-p",
        "mcp-analytics-middleware",
        "web-viewer",
        "--db-path",
        "analytics.db"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Analytics Middleware?

MCP Analytics Middleware is a simple way to track and visualize how your MCP server is being used. It records tool calls and resource requests, tracks performance metrics and error rates, and provides a web dashboard for live analytics. It is for developers who want to understand which tools are most popular, catch errors early, and monitor server performance.

How to use MCP Analytics Middleware?

Install via yarn add mcp-analytics-middleware, then import McpAnalytics and wrap your McpServer instance with analytics.enhance(server). You can launch the live web dashboard with npx -p mcp-analytics-middleware web-viewer --db-path analytics.db, or use the MCP Inspector flag --analytics --db-path analytics.db.

Key features of MCP Analytics Middleware

Track all tool calls and resource requests
See performance metrics and error rates
Web dashboard for live analytics
SQLite database for persistent storage

Use cases of MCP Analytics Middleware

Understand which tools are most popular in your MCP server
Catch errors early by monitoring error rates
Analyze your server's performance and slowest operations

FAQ from MCP Analytics Middleware

What does the middleware actually do?

It overrides tool and resource function implementations to record usage in an SQLite database.

How can I see the analytics live?

Run npx -p mcp-analytics-middleware web-viewer --db-path analytics.db and open http://localhost:8080.

What data does the dashboard show?

Total tool calls and resource requests, error rates, performance metrics, most used tools, and slowest operations.

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