Windbg Analyzer
Enables AI models to analyze Windows crash dumps by bridging LLMs with WinDBG/CDB.
About
This tool acts as a Model Context Protocol (MCP) server, connecting Large Language Models (LLMs) with the Windows Debugger (WinDBG/CDB) to facilitate AI-assisted crash dump analysis. It allows LLMs to execute debugger commands, providing immediate first-level triage, automated analysis of simple cases, and natural language-based inspections for complex scenarios. By offering a bridge between AI and WinDBG, the tool empowers users to leverage the expertise of LLMs to analyze crash dumps more efficiently, improving productivity and offering in-depth, natural language explanations of potential root causes. It's a simple Python wrapper that leans on the LLM's WinDBG expertise and user domain knowledge.
Key Features
- Enables AI to interact with WinDBG for crash dump analysis.
- Allows for natural language-based analysis using LLMs.
- Provides a bridge between LLMs and WinDBG/CDB.
- 164 GitHub stars
- Offers immediate first-level triage for crash dumps.
- Supports executing WinDBG commands through LLMs.
Use Cases
- Categorizing crash dumps for efficient triage.
- Inspecting specific areas of memory or code based on natural language queries.
- Auto-analyzing simple crash dump cases.
