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Darkmoon Pentest MCP

Start and follow authorized autonomous AI penetration tests from Claude Code, Cursor or Codex through the darkmoon MCP server: run_pentest launches a run, get_run_status polls it, list_campaigns finds the resulting campaign and get_findings returns findings with severity, CVSS score, exploit status and remediation guidance. Use it when you operate your own self-hosted Darkmoon Pro instance and want to triage findings from the agent.

skills/darkmoon-pentest-mcp/SKILL.md

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# Darkmoon Pentest MCP

Darkmoon is an open source (GPL-3.0) autonomous AI penetration testing platform: an LLM orchestrates specialist agents and offensive tools and proves each finding with a real exploit attempt. The MCP server `@darkmoon_ai/mcp-server` (GPL-3.0-only, stdio, listed in the official MCP registry as `io.github.ASCIT31/darkmoon-mcp-server`) exposes four tools that talk to the Dashboard API of a Darkmoon Pro instance that you host yourself: `run_pentest` starts a run against a target, `get_run_status` reports `running`, `completed`, `error` or `unknown` with the most recent events, `list_campaigns` lists campaigns, and `get_findings` returns the findings of one campaign with title, severity, CVSS score, category, status (`exploited`, `confirmed` or `unconfirmed`), endpoint and remediation, plus severity statistics.

The Darkmoon engine and CLI are open source, but this server needs the Pro dashboard. It does not work against the open source CLI alone, and there is no hosted Darkmoon endpoint: you supply `DARKMOON_BASE_URL` and dashboard credentials yourself.

## When to use it

- You run a Darkmoon Pro dashboard and want to launch or follow a pentest from your coding agent instead of the web UI.
- You want an agent to group, summarize and prioritize the findings of a finished campaign.
- You need run status inside an agent workflow without polling the dashboard by hand.

## When not to use it
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