mcp-windbg

MCP server · GitHub · ★ 1.6k · graded 2026-10-22Source linked

Model Context Protocol for WinDbg.

No outside reports on file

This tool gives an AI deep access to your entire system's memory and processes, so only use it in isolated environments and never share debugging sessions containing sensitive applications or data.

Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (svnscha/mcp-windbg)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/svnscha/mcp-windbg ↗

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About MCP Windbg

This is a connector that lets AI assistants (like Claude) interact with WinDbg, a Windows debugging tool. It allows the AI to run debugging commands, inspect program memory, and analyze crashes through a standardized protocol called Model Context Protocol.

Who it’s for

Software developers and security researchers on Windows who want AI assistance with debugging programs, analyzing crashes, or inspecting running processes. It's for people who already use WinDbg and want Claude to help automate or explain debugging tasks.

Alternatives

  • GDB (GNU Debugger) connectors: Similar AI debugging integration for Linux and macOS systems
  • LLDB connectors: Apple's debugger with potential Model Context Protocol integrations for native development
  • Manual debugging: Using WinDbg directly without AI intermediaries for sensitive or security-critical work

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README at https://github.com/svnscha/mcp-windbg (opens external site) for installation and configuration instructions specific to your setup.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

35/100
GitHub stars
1.6k
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Full system debugging access: The connector can read and modify memory of any process WinDbg can attach to, potentially exposing sensitive data like passwords or API keys in memory
  • Arbitrary code execution: If an AI is tricked by a crafted prompt, it might execute debugging commands that halt, crash, or manipulate running programs
  • Privilege escalation: If WinDbg runs as Administrator (common for kernel debugging), the AI gains Administrator-level capabilities over the system
  • Information leakage: Debugging output may contain source code, file paths, internal software details, or other confidential information that the AI could repeat back
  • Malicious file analysis: A crafted executable or crash dump designed to fool the debugger could inject misleading symbols or output that tricks the AI into wrong conclusions

How to lower the risk

Least-privilege permissions

  • Run WinDbg and the connector with the minimum privilege level needed
  • Avoid using Administrator or SYSTEM accounts unless kernel debugging is required

Network isolation

  • Use this connector only on isolated development machines, never on production systems
  • Disable network access or use a firewall to prevent the AI from exfiltrating memory dumps

Monitoring

  • Log all debugging commands the AI executes and review them regularly
  • Monitor which processes are being debugged and what data is being read

Red flags to watch for

  • The AI requesting to debug critical system processes or security software
  • Unusual requests to inspect memory regions or dump sensitive data
  • Prompts designed to make the AI execute potentially harmful debugging commands

Questions

How do I install MCP Windbg?

MCP Windbg does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/svnscha/mcp-windbg.

Are there security reports about MCP Windbg?

No reports found for this package in our research (last checked 2026-10-30). MCP Windbg currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include full system debugging access, arbitrary code execution, privilege escalation.

Is MCP Windbg actively maintained?

MCP Windbg has 1.6k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/svnscha/mcp-windbg before pinning it in production.

What are alternatives to MCP Windbg?

Notable alternatives to MCP Windbg include GDB (GNU Debugger) connectors (Similar AI debugging integration for Linux and macOS systems), LLDB connectors (Apple's debugger with potential Model Context Protocol integrations for native development), Manual debugging (Using WinDbg directly without AI intermediaries for sensitive or security-critical work). You can also compare MCP Windbg side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use MCP Windbg? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for MCP Windbg

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for MCP Windbg](https://agentarmorhq.com/api/badge/svnscha-mcp-windbg)](https://agentarmorhq.com/skills/svnscha-mcp-windbg)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/svnscha-mcp-windbg"><img src="https://agentarmorhq.com/api/badge/svnscha-mcp-windbg" alt="AgentArmorHQ Risk Grade for MCP Windbg" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "svnscha-mcp-windbg"

Share with your security lead

Need sign-off to use mcp-windbg? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: mcp-windbg
- **Listing URL:** https://agentarmorhq.com/skills/svnscha-mcp-windbg
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.6k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (svnscha/mcp-windbg)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/svnscha/mcp-windbg
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
svnscha
Source code
github.com/svnscha/mcp-windbg
Est. context load
~1.2k tokens / turn (~7 tool schemas, 0.57% of 200k context)
Popularity
1.6k GitHub stars
Last updated
2026-10-29
Last graded
2026-10-22

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