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Debug AI agents across languages with breakpoints, containers, and session recovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "polybugger-mcp" yet — see the docs or source repo.
Use polybugger-mcp to debug this AI agent workflow: a Python service fails when calling a TypeScript tool. Set breakpoints, inspect variables, locate the error source, and suggest fixes.
A debugging walkthrough with key variable states, root cause analysis, and actionable fixes.
Use polybugger-mcp to connect to a Go service running in a container, inspect the request handling logic, add watch expressions for key states, and find the cause of timeouts.
Container debugging results, observed state changes, the timeout cause, and optimization recommendations.
My last debugging session for a Rust agent was interrupted. Use polybugger-mcp to recover the session, continue inspecting the call stack and watched variables, and summarize the current investigation status.
The restored session context, updated call stack, variable states, and a summary of investigation progress.
Debug code across languages with breakpoints, stepping, and stack trace inspection.
Let AI control GDB via MCP for breakpoints, stepping, and inspection.
Enable AI to run live GDB debugging sessions on binaries and processes.
Enable hallucination-free debugging for MCP agents using verified AST execution evidence.
Interactively debug code in many languages through MCP and VS Code.
Control and debug running Node.js processes through a CDP-to-DAP bridge.