by snapspecter · MCP Server · ★ 33
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.
| Stars | 33 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.902/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-13 |
| Created | 2026-02-14 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~19k |
These tools work well together with mitmproxy-mcp for enhanced workflows:
Explore other popular mcp server tools:
mitmproxy-mcp is 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. It is categorized as a MCP Server with 33 GitHub stars.
mitmproxy-mcp is primarily written in Python. It covers topics such as agentic-workflow, antigravity, api-reverse-engineering.
You can find installation instructions and usage details in the mitmproxy-mcp GitHub repository at github.com/snapspecter/mitmproxy-mcp. The project has 33 stars and 10 forks, indicating an active community.
mitmproxy-mcp is released under the MIT license, making it free to use and modify according to the license terms.