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AutoRedTeam-Orchestrator MCP Server

Coff0xc/AutoRedTeam-Orchestrator

Score: 66.1 Rank #4863 Agent Framework
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MCP-native security automation workbench (SDK + CLI + MCP) — authorized testing + static AI/MCP attack-surface self-audit to SARIF / GitHub Code Scanning

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Overview

Coff0xc/AutoRedTeam-Orchestrator is a Python tool. MCP-native security automation workbench (SDK + CLI + MCP) — authorized testing + static AI/MCP attack-surface self-audit to SARIF / GitHub Code Scanning Topics: ai-powered, automation, c2, lateral-movement, mcp, penetration-testing, python, red-team, security-tools, active-directory, kerberos, vulnerability-scanners, cli, docker-sandbox, knowledge-graph, llm, mcts, nuclei, sarif, sdk.

Ranked #4863 out of 24846 indexed tools.

Ecosystem

Python NOASSERTION
ai-poweredautomationc2lateral-movementmcppenetration-testingpythonred-teamsecurity-toolsactive-directorykerberosvulnerability-scannersclidocker-sandboxknowledge-graphllmmctsnucleisarifsdk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 266

266 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 60%

3/5 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 53
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 55 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcp

From the README

# AutoRedTeam-Orchestrator

**面向授权测试与 AI/MCP 攻击面审计的 local-first、MCP-native 安全自动化工作台。**

**中文** · [English](README_EN.md) · [Русский](README_RU.md)

[能力成熟度](docs/capability-maturity.md) · [安全模型](docs/security-model.md) · [安全审计](docs/security-audits/)

> **Beta / Research Preview** — 优先支持静态分析、dry-run 与本地靶场。exploit、横向移动、持久化、C2、数据外传等高风险能力属于受限实验特性;policy 与 sandbox 元数据不等同于操作系统或容器级隔离。

## 目录

- [概述](#概述)
- [能力](#能力)
- [快速开始](#快速开始)
- [MCP Server 接入](#mcp-server-接入)
- [Python SDK](#python-sdk)
- [CLI 命令清单](#cli-命令清单)
- [配置与授权](#配置与授权)
- [AI/MCP 安全自审](#aimcp-安全自审)
- [设计思路与方案](#设计思路与方案)
- [安全与边界](#安全与边界)
- [许可与免责](#许可与免责)

## 概述

AutoRedTeam-Orchestrator 在单一代码库中提供可组合的安全能力,并通过三个入口暴露:**MCP Server**、**Python SDK** 与 **Typer CLI**。产品主线是 **AI 辅助的安全自动化**——让 AI 编辑器与 Agent 通过 MCP 使用受控的安全能力,并对 AI/MCP 系统自身的攻击面做静态审计。

适用于授权实验、安全自动化研发、AI/MCP 安全审计、CTF 与教学。**不是**开箱即用的企业平台、自主攻击 Agent 或生产级 C2。

## 能力

| 能力域 | 状态 | 边界 |
|---|---|---|
| 侦察与漏洞检测(JSON/SARIF) | Beta | 仅限授权目标;暂无公开准确率基准 |
| AI/MCP 攻击面静态自审 | Preview | 
Read full README on GitHub →

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