Aditya Jethwa@aditya_jethwa53

System Flow Auto-Mapper is a custom-built MCP server designed to run inside the Trae IDE, allowing users to build intelligent agents that automatically analyze and map system architecture. Created for the Trae AI Hackathon, this project focuses on simplifying complex software systems by enabling agents to parse code, identify relationships between components, and generate intuitive flow diagrams and structured JSON outputs. The solution empowers developers to: Understand unfamiliar codebases quickly, Onboard new team members more efficiently, Perform impact analysis before making changes. Built entirely within the Trae AI environment, this tool uses MCP server capabilities to handle custom requests, execute intelligent mapping, and return results that can be visualized within the IDE. Whether you're modernizing legacy systems or planning new services, System Flow Auto-Mapper enhances your productivity by turning static code into dynamic, agent-driven insights.

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