MCP Servers · svnscha

mcp-windbg

mcp-windbg is a Python wrapper that bridges AI models (like Copilot or Claude) with Windows debugging tools (WinDbg/CDB) to analyze crash dumps and perform live remote debugging. It lets you ask natural language questions about crashes instead of manually typing debugger commands.

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Source: GitHub — github.com/svnscha/mcp-windbg

1.4k

GitHub stars

130

Forks

Python

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	svnscha/mcp-windbg
Owner	svnscha
Primary language	Python
License	MIT — OSI-approved
Stars	1.4k
Forks	130
Open issues	5
Latest release	v0.15.0 (2026-06-08)
Last updated	2026-06-29
Source	https://github.com/svnscha/mcp-windbg

What mcp-windbg is

A Model Context Protocol (MCP) server implementing Python 3.10+ bindings to CDB (Command Debugger), supporting crash dump analysis and remote debugging sessions via stdio or streamable HTTP transport. Provides seven MCP tools (list_windbg_dumps, open_windbg_dump, run_windbg_cmd, etc.) that execute debugger commands and relay output to LLM clients.

Quickstart

Get the mcp-windbg source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/svnscha/mcp-windbg.git2cd mcp-windbg3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Crash Dump Triage & Root Cause Analysis

Quickly analyze Windows crash dumps by querying call stacks, heap state, exception context, and memory via natural language. Ideal for support teams or developers without deep WinDbg expertise reducing time-to-diagnosis.

Live Remote Debugging Sessions

Connect to remote debugging targets (tcp, COM, network) and inspect thread state, breakpoints, and execution flow through an AI copilot. Useful for distributed systems debugging and production issue investigation.

Batch Crash Dump Pattern Detection

Process multiple crash dumps programmatically to identify recurring failure patterns, corrupted heaps, or common stack signatures across a fleet of machines without manual dump inspection.

Implementation considerations

Requires Python 3.10+, Windows OS, and Debugging Tools for Windows SDK or Microsoft Store WinDbg installation. Verify CDB path detection or set --cdb-path manually.
Symbol path configuration critical: set _NT_SYMBOL_PATH environment variable (or --symbols-path) to enable stack trace resolution. Public Microsoft symbol server or internal symbol store.
Session cleanup: open_windbg_dump and open_windbg_remote require explicit close calls to release CDB processes and resources; consider timeout handling (default 30s configurable).
Filter script hooks (--filter-script) allow PII redaction before LLM transmission but run in-process as trusted code; review and restrict accordingly.
Transport choice: stdio for local clients (Copilot, Claude Desktop), streamable-http for remote or headless MCP server deployments.

When to avoid it — and what to weigh

Non-Windows Environments — Explicitly requires Windows and Debugging Tools for Windows (SDK) or WinDbg from Microsoft Store. Not portable to Linux, macOS, or other Unix-like systems.
Expecting Autonomous Fixes — This is analysis and investigation assistance, not an automated remediation tool. LLMs cannot directly modify running processes or auto-patch binaries; human interpretation of findings is still required.
Highly Regulated Environments Without Governance Review — README warns that MCP server usage may be restricted by enterprise IT policy. Sending crash dumps and debugging telemetry to AI models (cloud-hosted LLMs) may violate compliance, data residency, or security policies.
Real-Time Performance-Critical Debugging — LLM round-trips introduce latency. Not suitable for sub-millisecond timing analysis or live kernel debugging where human reflexes are essential.

License & commercial use

MIT License. Permissive OSI-approved license allowing unrestricted commercial use, modification, and distribution provided the license text and copyright notice are retained.

MIT is a permissive OSI license explicitly permitting commercial use without restrictions or royalty obligations. No vendor lock-in or dual licensing model. However, verify that deploying an MCP server that sends crash dumps and debugging commands to a third-party cloud LLM aligns with your organization's data governance and IP protection policies. Internal or air-gapped LLM deployments mitigate exposure.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Strong
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Crash dumps may contain sensitive data (passwords, keys, PII, proprietary algorithms). Sending dumps to LLMs requires trust in the LLM provider's data handling. Mitigation: use --filter-script to redact PII before transmission, deploy LLM locally/air-gapped, or negotiate data retention policies with cloud LLM provider. CDB runs locally with system privileges; validate filter scripts as trusted code. No known CVEs reported in project history.

Alternatives to consider

Interactive WinDbg (Microsoft Store / SDK)

Full-featured GUI debugger with visual stack traces, memory viewers, and breakpoint management. Requires human expertise and manual command entry; no LLM integration.

Debugging Extensions (custom plugins for WinDbg)

Domain-specific extensions (HeapWatch, MEX, SOSEX) provide specialized analysis but operate within WinDbg; no natural language interface or remote MCP bridging.

Cloud-Hosted APM/Debugging Services (Datadog, New Relic, Dynatrace)

SaaS observability platforms with crash analysis and alerting. Easier for distributed systems; no Windows crash dump focus; vendor lock-in and licensing costs apply.

Software development agency

Build on mcp-windbg with DEV.co software developers

mcp-windbg connects your crash analysis workflows to LLMs, but enterprise deployment requires careful planning around data security, symbol servers, and IT policy. Our team can help you architect a compliant, efficient debugging pipeline—whether local, air-gapped, or cloud-hosted.

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mcp-windbg FAQ

Can I use mcp-windbg on macOS or Linux?

No. The project explicitly requires Windows and Debugging Tools for Windows (SDK) or WinDbg from Microsoft Store. CDB is Windows-only.

Does mcp-windbg analyze dumps automatically or do I need to prompt the LLM?

You query the LLM (e.g., 'Analyze the crash at C:\dumps\app.dmp'). The LLM invokes mcp-windbg tools (list_windbg_dumps, open_windbg_dump, run_windbg_cmd) to gather data and interpret results. Automation depends on LLM capability and prompt engineering.

Is my crash dump data sent to the cloud?

Depends on your LLM client. If you use Claude Desktop or local Copilot, data may remain local. If you use a cloud LLM (OpenAI, Anthropic cloud), queries and dump content are transmitted to their servers. Use --filter-script to redact PII before transmission, or deploy mcp-windbg with a local/air-gapped LLM.

What if CDB or WinDbg is not found?

The server attempts auto-detection of CDB in the SDK or Microsoft Store. If detection fails, use --cdb-path to explicitly specify the path to cdb.exe. Ensure Debugging Tools for Windows are installed.

Software development & web development with DEV.co

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If mcp-windbg is part of your mcp servers roadmap, our team can implement, customize, migrate, and maintain it.

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