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MCP Server for WinDBG Crash Analysis

by svnscha

This MCP server integrates with CDB to enable AI models to analyze Windows crash dumps. It acts as a bridge connecting LLMs with WinDBG for assisted crash dump analysis, allowing for natural language-based queries and automated triage.

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What is MCP Server for WinDBG Crash Analysis?

This is a Model Context Protocol (MCP) server that allows AI models, specifically Large Language Models (LLMs), to interact with the WinDBG/CDB debugger for analyzing Windows crash dumps. It provides a Python wrapper around CDB, enabling LLMs to execute debugger commands and interpret the results.

How to use MCP Server for WinDBG Crash Analysis?

To use this server, you need Python 3.10 or higher, the Windows SDK with Debugging Tools for Windows installed, and an LLM supporting the Model Context Protocol. The server can be integrated with VS Code using a .vscode/mcp.json configuration file. Alternatively, it can be started directly from the command line. Once configured, you can use natural language queries within your LLM interface (e.g., GitHub Copilot) to analyze crash dumps.

Key features of MCP Server for WinDBG Crash Analysis

  • Enables AI-assisted crash dump analysis using WinDBG/CDB.

  • Provides a bridge between LLMs and the WinDBG debugger.

  • Supports natural language queries for crash dump analysis.

  • Offers tools for opening, analyzing, listing, and closing crash dumps.

  • Allows for immediate first-level triage analysis and categorization of crash dumps.

  • Facilitates automated analysis of simple crash scenarios.

Use cases of MCP Server for WinDBG Crash Analysis

  • Automated first-level triage of crash dumps.

  • Assisted debugging using natural language queries.

  • Identifying potential causes of crashes using AI analysis of debugger output.

  • Analyzing specific areas of memory or the call stack based on natural language requests.

  • Integrating crash dump analysis into AI-powered workflows.

FAQ from MCP Server for WinDBG Crash Analysis

Is this a magical solution that automatically fixes all issues?

No, it's a tool that relies on the LLM's WinDBG expertise and your own domain knowledge.

What are the prerequisites for using this server?

Python 3.10+, Windows SDK with Debugging Tools for Windows, and an LLM supporting Model Context Protocol.

How do I integrate this server with VS Code?

Create a .vscode/mcp.json file with the server configuration.

How do I set the symbol path?

Use the --symbols-path parameter or set the _NT_SYMBOL_PATH environment variable.

What do I do if I get a 'CDB executable not found' error?

Ensure WinDBG/CDB is installed, the executable is in your system PATH, or specify the path using the --cdb-path option.