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MCP Analytics Middleware

@Phillip-Kemper

代码仓库

基本信息

分类

数据与分析

许可证

MIT

传输方式

stdio

作者

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.

MCP Analytics Middleware 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"
      ]
    }
  }
}

MCP Analytics Middleware 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

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

常见问题

1

What does the middleware actually do?

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

2

How can I see the analytics live?

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

3

What data does the dashboard show?

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

评论

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