MCP Analytics Middleware

v1.0.0Monitoring & Observabilitystable

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

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What is MCP Analytics Middleware?

MCP Analytics Middleware is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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, conf...

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

This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A lightweight TypeScript middleware for MCP SDK servers that

Use Cases

Capture MCP server metrics and performance data.
Monitor usage patterns and analyze MCP requests in real-time.
Kemperino

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedFeb 18, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-analytics-middleware

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about MCP Analytics Middleware

What is MCP Analytics Middleware?

MCP Analytics Middleware is a Model Context Protocol (MCP) server that 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 It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Analytics Middleware?

Follow the installation instructions on the MCP Analytics Middleware GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP Analytics Middleware?

MCP Analytics Middleware works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Analytics Middleware free to use?

Yes, MCP Analytics Middleware is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Monitoring & Observability MCP Servers

Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-analytics-middleware": { "command": "npx", "args": ["-y", "mcp-analytics-middleware"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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