Magentic AI

Magentic AI’s FlowLens MCP is an open-source AI debugging framework designed to give AI agents full, precise context about your application so they can diagnose and fix issues autonomously. It connects your AI assistant directly to your codebase, runtime, and logs, enabling it to understand real execution behavior instead of relying solely on user explanations. The primary purpose is to reduce the manual back-and-forth in debugging and accelerate the path from bug report to working fix.

FlowLens MCP integrates with your development environment to provide structured access to source code, stack traces, logs, configuration, and environment details. It exposes this information through a standardized MCP (Model Context Protocol) interface, allowing compatible AI agents to inspect code paths, trace errors, and propose patches grounded in actual runtime data. The tool supports step-by-step investigation, including searching across repositories, correlating logs with code locations, and validating assumptions against real system states. Because it is open source, teams can customize what context is exposed, enforce security boundaries, and extend it to their specific tech stack.