proxypin-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@proxypin-mcpShow me the last 5 HTTP requests"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
proxypin-mcp
MCP server for ProxyPin — let AI analyze your HTTP(S) traffic in real-time.
How it works
┌─────────────────────────────────────────────────────────────┐
│ ProxyPin App │
│ │
│ MITM Proxy ──▶ EventListener ──▶ WsTrafficServer :12080 │
│ │ ▲ │
│ push │ │ commands │
│ │ │ (history) │
└─────────────────────────────────────────┼───┼──────────────┘
│ │
WS │ │ WS
▼ │
┌─────────────────────────────────────────────────────────────┐
│ proxypin-mcp │
│ │
│ Ring Buffer (real-time) ◀── request / response msgs │
│ sendCommand() / pendingCmds ──▶ cmd_reply (history) │
│ │
│ MCP Tools ──▶ Claude Code / AI │
└─────────────────────────────────────────────────────────────┘Real-time traffic: ProxyPin pushes every request and response through WebSocket. The MCP server buffers them in a ring buffer (default 1000 entries) and exposes them via list_requests / get_request / search_requests.
History: The MCP sends commands (list_histories, get_history, search_history, get_history_detail) over the same WebSocket. ProxyPin reads the HAR files on its end and returns only the fields needed — summaries for list/search, full HAR only for get_history_detail. This keeps AI context size bounded regardless of how many times history tools are called.
Config sync: ProxyPin sends a config message to the MCP on connect and whenever settings change (e.g. history access toggled), keeping the two sides in sync without polling.
Related MCP server: ProxyPin MCP Server
Quick Start
1. Enable WebSocket Push in ProxyPin
Settings → WebSocket Push → Enable (default port: 12080)
2. Configure MCP
Add to your .mcp.json:
{
"mcpServers": {
"proxypin": {
"command": "npx",
"args": ["@k186/proxypin-mcp@latest", "--port", "12080"]
}
}
}3. Use with AI
AI can now call these tools to analyze your traffic:
Real-time tools
list_requests — Browse recent captured requests
get_request — Get full request/response details (headers, body, timing)
search_requests — Filter by URL keyword, HTTP method, or status code
get_stats — Overview: connection status, status code distribution, top domains
clear_buffer — Clear the buffer before a new capture session
History tools (requires History Access enabled in ProxyPin settings)
list_histories — List all saved history sessions
get_history_requests — Browse requests in a session (summary only)
search_history — Search across all sessions by URL/method/status
get_history_detail — Get full HAR entry for a specific request
Options
Flag | Env Variable | Default | Description |
|
|
| ProxyPin WebSocket push port |
|
|
| Max requests to keep in memory |
— |
|
| Full WebSocket URL (overrides port) |
Examples
// Custom port
{ "args": ["@k186/proxypin-mcp@latest", "--port", "9999"] }
// Larger buffer
{ "args": ["@k186/proxypin-mcp@latest", "--port", "12080", "--buffer-size", "5000"] }
// Via environment variables
{
"args": ["@k186/proxypin-mcp@latest"],
"env": { "PROXYPIN_PORT": "12080", "PROXYPIN_BUFFER_SIZE": "2000" }
}工作原理
┌─────────────────────────────────────────────────────────────┐
│ ProxyPin 应用 │
│ │
│ MITM 代理 ──▶ EventListener ──▶ WsTrafficServer :12080 │
│ │ ▲ │
│ 推送 │ │ 命令 │
│ │ │(历史记录) │
└────────────────────────────────────────┼───┼───────────────┘
│ │
WS │ │ WS
▼ │
┌─────────────────────────────────────────────────────────────┐
│ proxypin-mcp │
│ │
│ 环形缓冲区(实时) ◀── request / response 消息 │
│ sendCommand() / pendingCmds ──▶ cmd_reply(历史) │
│ │
│ MCP 工具 ──▶ Claude Code / AI │
└─────────────────────────────────────────────────────────────┘实时流量:ProxyPin 将每条请求和响应通过 WebSocket 推送过来,MCP 缓存到环形缓冲区(默认 1000 条),通过 list_requests / get_request / search_requests 暴露给 AI。
历史记录:MCP 通过同一个 WebSocket 发送命令(list_histories / get_history / search_history / get_history_detail),ProxyPin 在自己这边读取 HAR 文件,只返回所需字段——列表/搜索只返回摘要,完整 HAR 仅在 get_history_detail 时返回。无论调用多少次历史工具,AI 上下文大小都在可控范围内。
配置同步:ProxyPin 在客户端连接时以及设置变更时(如切换历史访问开关)向 MCP 推送 config 消息,两端状态保持同步,无需轮询。
快速开始
1. 在 ProxyPin 中开启 WebSocket 推送
设置 → WebSocket推送 → 启用(默认端口:12080)
2. 配置 MCP
在 .mcp.json 中添加:
{
"mcpServers": {
"proxypin": {
"command": "npx",
"args": ["@k186/proxypin-mcp@latest", "--port", "12080"]
}
}
}3. 让 AI 分析流量
AI 可以调用以下工具分析你的抓包数据:
实时工具
list_requests — 浏览最近捕获的请求列表
get_request — 查看完整的请求/响应详情(请求头、响应体、耗时)
search_requests — 按 URL 关键字、HTTP 方法或状态码过滤
get_stats — 总览:连接状态、状态码分布、Top 域名
clear_buffer — 清空缓冲区,开始新的抓包会话
历史工具(需在 ProxyPin 设置中开启"历史访问")
list_histories — 列出所有历史会话
get_history_requests — 浏览某个会话的请求(仅摘要)
search_history — 跨所有会话按 URL/方法/状态码搜索
get_history_detail — 获取某条请求的完整 HAR 数据
配置参数
参数 | 环境变量 | 默认值 | 说明 |
|
|
| ProxyPin WebSocket 推送端口 |
|
|
| 内存中最大缓存请求数 |
— |
|
| 完整 WebSocket 地址(覆盖 port) |
配置示例
// 自定义端口
{ "args": ["@k186/proxypin-mcp@latest", "--port", "9999"] }
// 增大缓冲区
{ "args": ["@k186/proxypin-mcp@latest", "--port", "12080", "--buffer-size", "5000"] }
// 通过环境变量配置
{
"args": ["@k186/proxypin-mcp@latest"],
"env": { "PROXYPIN_PORT": "12080", "PROXYPIN_BUFFER_SIZE": "2000" }
}License
MIT
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