HackerMCP
A module that enables AI assistants to access and utilize common penetration testing and security tools like Nmap and Metasploit through a simple interface.
README
HackerMCP
HackerMCP is a module built for AI assistants to access and utilize common penetration testing and security tools. This module enables AI systems to leverage powerful security tools through a simple interface.
Currently Supported Tools
- Nmap: Network discovery and security auditing
- Metasploit Framework: Penetration testing framework
Future Goals
- Add support for SQLMap
- Expand available security tools and capabilities
Installation
Add the following configuration to your MCP configuration file:
{
"mcpServers": {
"hackermcp": {
"command": "uv",
"args": [
"--directory",
"~/dir/to/hackermcp",
"run",
"hacker.py"
]
}
}
}
Replace ~/dir/to/hackermcp with the actual path to the hackermcp directory.
Environment Setup
Prerequisites
- Python 3.8 or higher
- Nmap installed on your system
- Metasploit Framework installed on your system
Virtual Environment Setup
-
Clone the repository:
git clone https://github.com/R3verseIN/HackerMCP cd HackerMCP -
Set up a virtual environment using
uv:uv venv source .venv/bin/activate -
Install dependencies:
uv pip install -r requirements.txt
Installing UV
If you don't have the uv package manager then install it:
pip3 install uv
Or use curl to download the installation script:
curl -LsSf https://astral.sh/uv/install.sh | sh
If your system doesn't have curl, you can use wget:
wget -qO- https://astral.sh/uv/install.sh | sh
Disclaimer
This tool is provided for educational and legitimate security testing purposes only.
No warranty is provided with this software. The creator is not responsible for any unethical or illegal use of this tool. Users are solely responsible for ensuring they have proper authorization before conducting any security testing activities.
License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。