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MCP Sniffer

MCP Sniffer

MCP Sniffer是一个用于捕获MCP客户端与服务器之间网络流量的反向代理工具,提供Web UI可视化请求和响应数据。
2.5分
1
2025-04-28 14:50:02
概述
内容详情
替代品

What is MCP Sniffer?

MCP Sniffer is a reverse proxy tool that sits between MCP clients and servers to capture and analyze network traffic. It provides a web interface similar to Chrome DevTools' Network tab for inspecting MCP communications.

How to use MCP Sniffer?

Simply install the package and run it as a proxy between your MCP client and server. The web interface will automatically display all captured traffic for inspection.

Use Cases

Ideal for debugging MCP implementations, analyzing protocol behavior, and understanding client-server interactions during development.

Key Features

Traffic InspectionCaptures and displays all MCP requests and responses between client and server
Web InterfaceUser-friendly web UI for analyzing network traffic with filter and search capabilities
Easy SetupSimple installation and configuration process with sensible defaults

Pros and Cons

Advantages
Non-intrusive monitoring without modifying client or server code
Real-time traffic visualization
Helpful for debugging and development
Limitations
Adds slight latency as it proxies all traffic
Currently only supports MCP protocol
Web UI is in early development stage

Getting Started

InstallationInstall using pipx for isolated Python environment
ConfigurationConfigure the listening port and upstream server details
Access Web UIOpen the web interface in your browser to view captured traffic

Usage Scenarios

Debugging Connection IssuesUse MCP Sniffer to identify where communication breaks down between client and server
Performance AnalysisMeasure request/response times to optimize your MCP implementation

Frequently Asked Questions

1
Does this affect my production traffic?No, it's designed for development use only. The slight latency added makes it unsuitable for production monitoring.
2
Can I use this with non-MCP protocols?Currently no, it's specifically designed for the Model Context Protocol.
3
How do I contribute to the project?The project is open source on GitHub. You can submit issues or pull requests to the repository.

Additional Resources

GitHub RepositorySource code and issue tracking
Model Context ProtocolOfficial MCP documentation
PyPI PackagePython package distribution
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安装
复制以下命令到你的Client进行配置
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