Expose HTTP capture data from ProxyPin to AI tools, enabling powerful API analysis and code generation.
Sponsored
The ProxyPin MCP Server integrates with the open-source ProxyPin project, leveraging the Model Context Protocol (MCP) to transform your local HTTP capture history into an accessible format for MCP-capable AI clients. This server provides a structured way for AI tools to interact with your captured web traffic (HAR files), offering functionalities like listing, searching, and detailing requests, analyzing API structures, and generating code snippets directly from the captured data. It enhances developer productivity by bridging raw network data with intelligent assistants, making debugging, development, and API understanding more intuitive.
Key Features
01Read local ProxyPin history (HAR files)
02List, search, and detail captured HTTP requests
03Configure data limits for HAR files and body sizes
04Compatible with mainstream MCP clients (e.g., Windsurf, Cursor, Claude Desktop)
05Perform API structure analysis and code generation
065 GitHub stars
Use Cases
01Debug HTTP requests by fetching details or searching through captured traffic with natural language.
02Generate API call code in various languages and frameworks directly from captured requests.
03Analyze the structure of APIs for a specific domain using AI tools.
