mcp-server

AutoRedTeam-Orchestrator: AI Red Team

Get an enterprise AI red team platform with 132 tools for founders needing advanced security testing, built with Python and supported by 254 GitHub stars
260 stars53 forksPythonGuide quality 8/10Updated 7/26/2026100% free · open source
What it does

AutoRedTeam-Orchestrator provides an enterprise AI red team platform with 132 tools for advanced security testing and vulnerability assessment

When to use it
  • When you need to perform comprehensive security testing for your web application
  • When you want to identify vulnerabilities in your system using AI-enhanced tools
  • When you require a scalable and customizable red team platform for your organization
Ready-to-paste prompt
python3 orchestrator.py -t http://example.com -m sqlmap,nuclei,ffuf
Heads up: Ensure you have the necessary dependencies, including Python 3, and be aware that some features may require additional setup or configuration, such as the Docker sandbox or CI/CD pipeline integration
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/autoredteam-orchestrator && curl -fsSL https://workflowstacks.com/api/skills/autoredteam-orchestrator/claude-skill -o ~/.claude/skills/autoredteam-orchestrator/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How AutoRedTeam-Orchestrator: AI Red Team works
Codeflow
Free to inspect

AutoRedTeam-Orchestrator: AI Red Team is a very large Python project (~122k lines across 357 code files, plus 88 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit 2 months ago, Other license, has a test suite.

Size
Very large codebase
~122k lines · 357 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python · Docker
Needs API keys (.env)
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    action.yml
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
core/Core code — the actual logic303 files
cli/Command-line entry points2 files
templates/Templates6 files
docs/Documentation4 files
handlers/Folder25 files
utils/Helper scripts16 files
data/Data files14 files
autort/Folder6 files
READMEHas testsDocumentedCI checksDocker readyOther licenseUpdated 2 mo ago
Quick Actions
Details
Creator
Coff0xc
Language
Python
Category
mcp-server
Published
11/25/2025

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