A Model Context Protocol server that bridges AI models with WinDbg for crash dump analysis and remote debugging.
This MCP server integrates with CDB to enable AI models to analyze Windows crash dumps and connect to remote debugging sessions using WinDbg/CDB.
An AI-powered tool that bridges LLMs with WinDbg for crash dump analysis and live debugging. Execute debugger commands through natural language queries like "Show me the call stack and explain this access violation".
Not a magical auto-fix solution. It's a Python wrapper around CDB that leverages LLM knowledge to assist with debugging.
- Crash Dump Analysis: Examine Windows crash dumps
- Live Debugging: Connect to remote debugging targets
- Directory Analysis: Process multiple dumps for patterns
- Windows with Debugging Tools for Windows or WinDbg from Microsoft Store.
- Python 3.10 or higher
- Any MCP-compatible client (GitHub Copilot, Claude Desktop, Cline, Cursor, Windsurf etc.)
- Configure MCP server in your chosen client
Tip
In enterprise environments, MCP server usage might be restricted by organizational policies. Check with your IT team about AI tool usage and ensure you have the necessary permissions before proceeding.
pip install mcp-windbgTo make MCP servers available in all your workspaces, use the global user configuration:
- Press
F1, type>and select MCP: Open User Configuration. - Paste the following JSON snippet into your user configuration:
{
"servers": {
"mcp_windbg": {
"type": "stdio",
"command": "python",
"args": ["-m", "mcp_windbg"],
"env": {
"_NT_SYMBOL_PATH": "SRV*C:\\Symbols*https://msdl.microsoft.com/download/symbols"
}
}
}
}This enables MCP Windbg in any workspace, without needing a local .vscode/mcp.json file.
Workspace-specific and alternative configuration: See Installation documentation for details on configuring Claude Desktop, Cline, and other clients, or for workspace-only setup.
Once configured, restart your MCP client and start debugging:
Analyze the crash dump at C:\dumps\app.dmp
This server implements the Model Context Protocol (MCP), making it compatible with any MCP-enabled client:
The beauty of MCP is that you write the server once, and it works everywhere. Choose your favorite AI assistant!
| Tool | Purpose | Use Case |
|---|---|---|
list_windbg_dumps |
List crash dump files | Discovery and batch analysis |
open_windbg_dump |
Analyze crash dumps | Initial crash dump analysis |
close_windbg_dump |
Cleanup dump sessions | Resource management |
open_windbg_remote |
Connect to remote debugging | Live debugging sessions |
close_windbg_remote |
Cleanup remote sessions | Resource management |
run_windbg_cmd |
Execute WinDbg commands | Custom analysis and investigation |
| Topic | Description |
|---|---|
| Getting Started | Quick setup and first steps |
| Installation | Detailed installation for pip, MCP registry, and from source |
| Usage | MCP client integration, command-line usage, and workflows |
| Tools Reference | Complete API reference and examples |
| Troubleshooting | Common issues and solutions |
Analyze this heap address with !heap -p -a 0xABCD1234 and check for buffer overflow"
Execute !peb and tell me if there are any environment variables that might affect this crash"
Run .ecxr followed by k and explain the exception's root cause"
"Connect to tcp:Port=5005,Server=192.168.0.100 and show me the current thread state"
"Check for timing issues in the thread pool with !runaway and !threads"
"Show me all threads with ~*k and identify which one is causing the hang"
Read about the development journey: The Future of Crash Analysis: AI Meets WinDbg
MIT