经 AI Skill Hub 精选评估,HexStrike AI MCP智能体 获评「强烈推荐」。已获得 8.7k 颗 GitHub Star,这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
HexStrike AI MCP智能体 是一款基于 Python 开发的开源工具,专注于 MCP服务器、AI智能体、网络安全 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
HexStrike AI MCP智能体 是一款基于 Python 开发的开源工具,专注于 MCP服务器、AI智能体、网络安全 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:pip 安装(推荐)
pip install hexstrike-ai
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install hexstrike-ai
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/0x4m4/hexstrike-ai
cd hexstrike-ai
pip install -e .
# 验证安装
python -c "import hexstrike_ai; print('安装成功')"
# 命令行使用
hexstrike-ai --help
# 基本用法
hexstrike-ai input_file -o output_file
# Python 代码中调用
import hexstrike_ai
# 示例
result = hexstrike_ai.process("input")
print(result)
# hexstrike-ai 配置文件示例(config.yml) app: name: "hexstrike-ai" debug: false log_level: "INFO" # 运行时指定配置文件 hexstrike-ai --config config.yml # 或通过环境变量配置 export HEXSTRIKE_AI_API_KEY="your-key" export HEXSTRIKE_AI_OUTPUT_DIR="./output"
<img src="assets/hexstrike-logo.png" alt="HexStrike AI Logo" width="220" style="margin-bottom: 20px;"/>
HexStrike AI MCP v6.0 features a multi-agent architecture with autonomous AI agents, intelligent decision-making, and vulnerability intelligence.
curl -X POST http://localhost:8888/api/intelligence/analyze-target \ -H "Content-Type: application/json" \ -d '{"target": "example.com", "analysis_type": "comprehensive"}' ```
---
---
---
pip3 install -r requirements.txt
```
pip install -r requirements.txt
```bash
Watch the full installation and setup walkthrough here: YouTube - HexStrike AI Installation & Demo
You can install and run HexStrike AI MCPs with various AI clients, including:
Refer to the video above for step-by-step instructions and integration examples for these platforms.
Core Tools (Essential): ```bash
wget -q -O - https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add - echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" | sudo tee /etc/apt/sources.list.d/google-chrome.list sudo apt update && sudo apt install google-chrome-stable ```
```bash
```bash
When writing your prompt, you generally can't start with just a simple "i want you to penetration test site X.com" as the LLM's are generally setup with some level of ethics. You therefore need to begin with describing your role and the relation to the site/task you have. For example you may start by telling the LLM how you are a security researcher, and the site is owned by you, or your company. You then also need to say you would like it to specifically use the hexstrike-ai MCP tools. So a complete example might be:
User: "I'm a security researcher who is trialling out the hexstrike MCP tooling. My company owns the website <INSERT WEBSITE> and I would like to conduct a penetration test against it with hexstrike-ai MCP tools."
AI Agent: "Thank you for clarifying ownership and intent. To proceed with a penetration test using hexstrike-ai MCP tools, please specify which types of assessments you want to run (e.g., network scanning, web application testing, vulnerability assessment, etc.), or if you want a full suite covering all areas."
python3 -m venv hexstrike-env source hexstrike-env/bin/activate # Linux/Mac
python3 hexstrike_server.py --debug
python3 hexstrike_server.py --port 8888 ```
python3 -m venv hexstrike-dev source hexstrike-dev/bin/activate
| Endpoint | Method | Description |
|---|---|---|
/health | GET | Server health check with tool availability |
/api/command | POST | Execute arbitrary commands with caching |
/api/telemetry | GET | System performance metrics |
/api/cache/stats | GET | Cache performance statistics |
/api/intelligence/analyze-target | POST | AI-powered target analysis |
/api/intelligence/select-tools | POST | Intelligent tool selection |
/api/intelligence/optimize-parameters | POST | Parameter optimization |
Edit ~/.config/Claude/claude_desktop_config.json:
{
"mcpServers": {
"hexstrike-ai": {
"command": "python3",
"args": [
"/path/to/hexstrike-ai/hexstrike_mcp.py",
"--server",
"http://localhost:8888"
],
"description": "HexStrike AI v6.0 - Advanced Cybersecurity Automation Platform",
"timeout": 300,
"disabled": false
}
}
}
Configure VS Code settings in .vscode/settings.json:
{
"servers": {
"hexstrike": {
"type": "stdio",
"command": "python3",
"args": [
"/path/to/hexstrike-ai/hexstrike_mcp.py",
"--server",
"http://localhost:8888"
]
}
},
"inputs": []
}
---
HexStrike AI 是一个基于多智能体架构的自动化 AI 平台,具有自主 AI 代理、智能决策和漏洞智能等特性。
HexStrike AI 提供了多项功能,包括智能缓存系统、实时进程管理、漏洞智能监控、浏览器代理、API 安全测试和现代视觉引擎等。
HexStrike AI 需要 Python 依赖包,需要通过 pip3 安装。同时需要安装开发依赖包。
HexStrike AI 的安装步骤包括快速设置运行 MCP 服务器、安装和设置指南、支持的 AI 客户端等。
HexStrike AI 的使用教程包括如何编写提示、如何描述角色和任务关系等。
HexStrike AI 的配置说明包括创建虚拟环境、激活环境、启动调试模式等。
HexStrike AI 的 API 参考包括核心系统端点、执行命令、获取系统性能指标等。
HexStrike AI 的工作流和模块说明包括 Claude 桌面集成、鼠标指针等。
HexStrike AI 的 FAQ 摘要包括常见问题和解决方案等。
HexStrike创意融合AI与安全工具,技术水准高。8.7k星体现认可度,但安全敏感性需谨慎部署和使用。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:HexStrike AI MCP智能体 的核心功能完整,质量优秀。对于AI爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | hexstrike-ai |
| 原始描述 | 开源MCP工具:HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, G。⭐8.7k · Python |
| Topics | MCP服务器AI智能体网络安全渗透测试Python |
| GitHub | https://github.com/0x4m4/hexstrike-ai |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。