This MCP server integrates AI models with WinDbg for analyzing Windows crash dumps and connecting to remote debugging sessions.
From the registry: A Model Context Protocol server for Windows crash dump analysis using WinDbg/CDB
$ pip install mcp-windbgPlease install the `mcp-windbg` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Windows + WinDbg/CDB** — Windows with Debugging Tools for Windows or WinDbg from Microsoft Store (https://developer.microsoft.com/en-us/windows/downloads/windows-sdk/)
- **Python 3.10+** — Python 3.10 or higher
- **Install package** — Install via pip Run: `pip install mcp-windbg`
Canonical MCP server config (stdio transport):
- command: `python`
- args: ["-m","mcp_windbg"]
- optional environment variables:
- `_NT_SYMBOL_PATH`: Windows symbol path (symbol server + local cache) (example: `SRV*C:\Symbols*https://msdl.microsoft.com/download/symbols`)
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected._NT_SYMBOL_PATHrequiredPath for symbol files used in debuggingReal-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.