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Give your VS Code agent real debugging with breakpoints, stepping, and inspection.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "DebugMCP" yet — see the docs or source repo.
Use DebugMCP to debug this Python function. Set a breakpoint before the exception, step through execution, and tell me which line and variable caused the error: def divide(a, b): return a / b; print(divide(10, 0))
A debugging summary identifying the failing line, relevant variable states, and a fix suggestion.
Use DebugMCP to set a breakpoint inside the for loop, inspect the value of count on each iteration, and determine why the final result is incorrect.
Outputs key variable changes for each iteration and explains the cause of the logic error.
I updated the code. Use DebugMCP to run the debugger again, inspect key variables at breakpoints, confirm whether execution matches expectations, and summarize the fix result.
Provides a post-fix debugging conclusion, including breakpoint observations, execution flow, and whether any issues remain.
Generate or update chat customization files for AI coding agents.
Merge session branch changes back into the base branch cleanly.
Upgrade Anthropic SDKs, migrate versions, and fix dependency or typing issues.
Find and read Code OSS dev build logs for faster debugging.
Validate Azure DevOps pipeline changes and troubleshoot builds and YAML faster.
Create and maintain screenshot test fixtures for UI components effectively.
Let AI agents inspect debug state and control VS Code debugging.
Connect VSCode to MCP so AI can inspect code context in real time.
Let AI control GDB via MCP for breakpoints, stepping, and inspection.
Debug code across languages with breakpoints, stepping, and stack trace inspection.
Interactively debug code in many languages through MCP and VS Code.
Use a real Python debugger to inspect code, find bugs, and verify fixes.