mitmproxy-mcp MCP Server
snapspecter/mitmproxy-mcp
[](https://agentrank-ai.com/tool/snapspecter--mitmproxy-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) MCP Server that wraps mitmproxy and exposes it as a tool to any MCP client, allows your AI agents to inspect traffic, filter traffic, intercept & modify traffic, request reply, set global headers, and start/stop mitmproxy as needed.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
snapspecter/mitmproxy-mcp is a Python MCP server licensed under MIT. MCP Server that wraps mitmproxy and exposes it as a tool to any MCP client, allows your AI agents to inspect traffic, filter traffic, intercept & modify traffic, request reply, set global headers, and start/stop mitmproxy as needed. Topics: agentic-workflow, antigravity, api-reverse-engineering, claude-code, mcp, mitmproxy, reverse-engineering.
Ranked #4092 out of 24846 indexed tools.
Ecosystem
Score Breakdown
125 stars → growing community
Last commit 1mo ago → moderate activity
3/6 issues closed → decent issue management
8 contributors → small team
No dependents → no downstream usage
119 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# mitmproxy MCP Server A Model Context Protocol (MCP) server that transforms mitmproxy into a powerful toolset for AI agents. This allows LLMs (like Claude, GPT-4, or local models) to inspect, modify, and replay HTTP/HTTPS traffic in real-time. ## New in this build (the fun stuff) This project has grown beyond simple capture + replay. You can now: * **Search traffic quickly** with filters by domain/method/body text. * **Extract data from responses** using JSONPath or CSS selectors. * **Use session variables** to grab tokens from one response and reuse them in later replays. * **Run lightweight fuzzing** against query params or JSON body fields for quick DAST checks. * **Reconstruct API patterns** and export an OpenAPI-style spec from captured traffic. * **Detect auth patterns** (Bearer/JWT/API key/session cookie/CSRF/OAuth hints). * **Generate starter scraper code** from real captured flows. ## Why use this? Standard "web search" or "fetch" tools are stateless and easily detected.Read full README on GitHub →
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