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Drive a self-hosted Darkmoon Pro AI pentest instance: start runs, read campaigns and findings.
About
Drive a self-hosted Darkmoon Pro AI pentest instance: start runs, read campaigns and findings.
Security Report
5 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
What You'll Need
Set these up before or after installing:
Environment variable: DARKMOON_BASE_URL
Environment variable: DARKMOON_USERNAME
Environment variable: DARKMOON_PASSWORD
Environment variable: DARKMOON_TOKEN
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-ascit31-darkmoon-mcp-server": {
"env": {
"DARKMOON_TOKEN": "your-darkmoon-token-here",
"DARKMOON_BASE_URL": "your-darkmoon-base-url-here",
"DARKMOON_PASSWORD": "your-darkmoon-password-here",
"DARKMOON_USERNAME": "your-darkmoon-username-here"
},
"args": [
"-y",
"@darkmoon_ai/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@darkmoon_ai/mcp-server
A Model Context Protocol server that lets an MCP client (Claude Desktop, Goose, Continue, LibreChat, ...) drive Darkmoon, an open source (GPL-3.0) autonomous AI penetration testing platform.
Requires Darkmoon Pro
The Darkmoon engine and CLI are open source. This server talks to the Darkmoon Dashboard API, which is part of Darkmoon Pro and always self-hosted: there is no public hosted endpoint, so you supply the base URL of your own instance. It does not work against the open source CLI alone.
Tools
| Tool | Description |
|---|---|
run_pentest | Start an autonomous pentest against one authorized target and return the run_id |
get_run_status | Report running, completed, error or unknown for a run, from its run log |
list_campaigns | List campaigns visible to the dashboard user (read only) |
get_findings | Vulnerabilities and severity statistics for a campaign (read only) |
Only run assessments against systems you own or are explicitly authorized in writing to test. Findings can include false positives and must be reviewed by a qualified human.
Configuration
| Variable | Description |
|---|---|
DARKMOON_BASE_URL | Base URL of your Darkmoon Pro Dashboard API (required) |
DARKMOON_USERNAME, DARKMOON_PASSWORD | Dashboard credentials; a JWT is requested on each call and never cached |
DARKMOON_TOKEN | Alternative to username/password: a pre-issued JWT |
DARKMOON_TIMEOUT_MS | Optional per-request timeout, default 60000 |
Client configuration
Claude Desktop (claude_desktop_config.json), Continue and LibreChat use the same mcpServers shape:
{
"mcpServers": {
"darkmoon": {
"command": "npx",
"args": ["-y", "@darkmoon_ai/mcp-server"],
"env": {
"DARKMOON_BASE_URL": "https://darkmoon.example.internal",
"DARKMOON_USERNAME": "your-dashboard-user",
"DARKMOON_PASSWORD": "your-dashboard-password"
}
}
}
}
Goose (~/.config/goose/config.yaml):
extensions:
darkmoon:
type: stdio
enabled: true
name: darkmoon
cmd: npx
args: ["-y", "@darkmoon_ai/mcp-server"]
envs:
DARKMOON_BASE_URL: https://darkmoon.example.internal
DARKMOON_USERNAME: your-dashboard-user
DARKMOON_PASSWORD: your-dashboard-password
Continue (.continue/mcpServers/darkmoon.yaml):
name: Darkmoon
version: 0.1.0
schema: v1
mcpServers:
- name: darkmoon
command: npx
args: ["-y", "@darkmoon_ai/mcp-server"]
env:
DARKMOON_BASE_URL: https://darkmoon.example.internal
DARKMOON_USERNAME: your-dashboard-user
DARKMOON_PASSWORD: your-dashboard-password
Develop
npm install
npm run build
npm test # mocked Dashboard API, in-memory MCP client and a real stdio process
License
GPL-3.0-only, same as Darkmoon.
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