$ loading_
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 Python with natural language, tests, breakpoints, and variable inspection.
Let AI agents debug code through VS Code in real sessions.
Debug Node.js code for AI agents with breakpoints, stepping, and variable inspection.
Enable AI to run live GDB debugging sessions on binaries and processes.
Autonomously debug web or desktop UIs with structured findings and evidence.
Build, integrate, and debug MCP clients and related tooling.