自动化流量分析 mcp 工具
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"proxypin-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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ProxyPin 的 MCP 服务器,作用通俗点说就是 抓包软件有啥功能,ai都能调用啥功能;
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ProxyPin 的 MCP 服务器,作用通俗点说就是 抓包软件有啥功能,ai都能调用啥功能;
功能特性
环境要求
http://127.0.0.1:17777(不要和抓包工具的9099端口搞混,这是两个概念)fastmcp, requests安装
使用
启动 ProxyPin 然后能正常抓包;默认端口是9099
这一步是你本来就要做的,跟mcp没关系
启动 mcp 服务,并设置监听端口 17777
这一步是为了proxypin监听ai的mcp工具调用请求
问你的ai连上没有 或者 手动测试
python proxypin_mcp_server.py
在 IDE 中配置 MCP(示例):
"proxypin-mcp": {
"command": "你的python.exe路径",
"args": ["你下载的py文件路径"],
"disabled": false,
"autoApprove": [
"search_requests", "get_request_details", "replay_request", "generate_code", "get_curl",
"block_url", "add_response_rewrite", "add_request_rewrite", "update_script", "get_scripts",
"set_config", "add_host_mapping", "get_proxy_status", "start_proxy", "stop_proxy",
"export_har", "import_har", "get_recent_requests", "clear_requests", "get_statistics",
"compare_requests", "find_similar_requests", "extract_api_endpoints"
]
}
工具列表(主要)
请求与搜索 (5)
search_requests - 高级搜索 HTTP 请求get_request_details - 获取请求详细信息replay_request - 重放请求get_recent_requests - 获取最近请求列表(Legacy)clear_requests - 清空捕获的请求代码与命令 (2)
generate_code - 生成示例代码(python/js/curl)get_curl - 生成 cURL 命令重写与拦截 (3)
block_url - 屏蔽 URLadd_response_rewrite - 添加响应重写规则add_request_rewrite - 添加请求重写规则脚本管理 (2)
update_script - 创建或更新 JavaScript 脚本get_scripts - 列出所有脚本代理与网络 (4)
start_proxy - 启动代理服务器stop_proxy - 停止代理服务器get_proxy_status - 获取代理状态add_host_mapping - 添加 Hosts 映射HAR 与导入导出 (2)
export_har - 导出 HARimport_har - 导入 HAR分析与统计 (3)
get_statistics - 获取请求统计信息compare_requests - 对比两个请求extract_api_endpoints - 提取并分组 API 端点其它 (2)
set_config - 设置 ProxyPin 配置(例如 system_proxy, ssl_capture)find_similar_requests - 查找相似请求常见问题
贡献 欢迎提交 issue 或 PR 来补充更多工具、增强稳定性或完善文档。
License MIT