03 Feb 2026 08:06 PM
A Model Context Protocol Server to connect WinDBG with AI
Repository: svnscha/mcp-windbg
License: MIT
Ever felt like crash dump analysis is stuck in the past? While the rest of software development has embraced modern tools, we're still manually typing commands like !analyze -v in WinDbg.
I decided to change that. Inspired by the capabilities of AI, I integrated GitHub Copilot with WinDbg, creating a tool that allows for conversational crash dump analysis.
Instead of deciphering hex codes and stack traces, you can now ask, "Why did this application crash?" and receive a clear, contextual answer.
Check out the full write-up and demo videos here: The Future of Crash Analysis: AI Meets WinDbg
Feedback and thoughts are welcome!
08 Feb 2026 07:53 PM
Hi @CTull , that's amazing!
To take observability one step further and enrich the analysis of your crash scenarios, I recommend evaluating the possibility of ingesting the processed WinDbg results into Dynatrace using the ingestion APIs.
This will allow you to centralize all your crash dumps, correlate them, and leverage the analytical power of Grail to gain deep, actionable insights.
By doing so, you will be able to enable a number of advanced use cases, such as:
In resume, ingesting WinDbg results into Dynatrace not only centralizes technical analysis, but turns crash dumps into actionable data at scale, fully integrated with your observability, security and automation ecosystem.
I hope you consider it and tell us the value it generates for you. 💪
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