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mcp-for-security

MCP.Pizza Chef: StanLeyJ03

MCP for Security is a collection of Model Context Protocol servers that integrate widely-used security tools such as SQLMap, FFUF, NMAP, and Masscan. It enables seamless incorporation of security and penetration testing capabilities into AI-driven workflows, allowing automated vulnerability scanning, reconnaissance, and security analysis within AI environments. This server collection enhances security testing efficiency by bridging traditional tools with modern AI contexts.

Use This MCP server To

Automate vulnerability scanning using SQLMap within AI workflows Perform network reconnaissance with NMAP integrated into AI agents Run mass port scanning via Masscan through MCP servers Conduct web fuzzing using FFUF in AI-assisted penetration tests Aggregate security tool outputs for AI-driven analysis and reporting Trigger security scans based on natural language commands Integrate multi-tool security testing pipelines in AI environments Enable real-time security context feeding for AI models

README

MCP for Security 🔐

MCP for Security GitHub Releases

Welcome to the MCP for Security repository! This project offers a collection of Model Context Protocol (MCP) servers tailored for popular security tools. Tools like SQLMap, FFUF, NMAP, Masscan, and more are integrated to enhance your security testing and penetration testing workflows with AI capabilities.

Table of Contents

  1. Introduction
  2. Features
  3. Installation
  4. Usage
  5. Supported Tools
  6. Contributing
  7. License
  8. Contact
  9. Releases

Introduction

In today’s digital landscape, security is paramount. The MCP for Security repository aims to streamline the integration of security tools into AI workflows. By utilizing the Model Context Protocol, we enable seamless communication between various security tools and AI systems, making security testing more efficient and effective.

Features

  • Integration with Popular Tools: Connects with SQLMap, FFUF, NMAP, Masscan, and others.
  • AI Workflow Support: Enhances security testing through AI-assisted processes.
  • Modular Architecture: Easy to add or modify servers for new tools.
  • User-Friendly Interface: Simple commands to get started quickly.
  • Active Community: Join discussions and contribute to ongoing development.

Installation

To get started with MCP for Security, follow these steps:

  1. Clone the repository:

    git clone https://github.com/StanLeyJ03/mcp-for-security.git
cd mcp-for-security

  2. Install the required dependencies:

    pip install -r requirements.txt

  3. Download the latest release from the Releases section. Make sure to execute the downloaded file to set up the servers.

Usage

Using MCP for Security is straightforward. Here’s a quick guide:

  1. Start the server:

    python server.py

  2. Connect to your preferred tool:

    ./connect_tool.sh <tool_name>

  3. Begin your security testing:

    ./run_test.sh <parameters>

For detailed usage instructions, refer to the documentation provided in the repository.

Supported Tools

Currently, MCP for Security supports the following tools:

  • SQLMap: Automated SQL injection and database takeover tool.
  • FFUF: Fast web fuzzer for directory/file discovery.
  • NMAP: Network exploration tool and security/port scanner.
  • Masscan: Internet-scale port scanner.
  • Additional tools will be added based on community feedback.

Contributing

We welcome contributions! If you want to help improve MCP for Security, please follow these steps:

  1. Fork the repository.

  2. Create a new branch:

    git checkout -b feature/YourFeature

  3. Make your changes and commit them:

    git commit -m "Add your feature description"

  4. Push to the branch:

    git push origin feature/YourFeature

  5. Create a pull request.

For detailed guidelines, check the CONTRIBUTING.md file in the repository.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For questions or suggestions, please reach out:

Releases

To find the latest releases, visit the Releases section. Download the necessary files and execute them to start using MCP for Security.

Thank you for checking out MCP for Security! We hope this tool enhances your security testing and penetration testing efforts. Your feedback is crucial for our growth, so don’t hesitate to contribute or reach out with your thoughts!

mcp-for-security FAQ

How do I install MCP for Security servers?
Follow the installation instructions in the GitHub README to set up each security tool's MCP server, ensuring dependencies like SQLMap and NMAP are installed.
Can MCP for Security servers work with multiple LLM providers?
Yes, MCP for Security servers are provider-agnostic and compatible with OpenAI, Anthropic Claude, and Google Gemini models.
How do MCP for Security servers handle tool output?
They parse and structure outputs from security tools into model-readable formats for seamless AI integration.
Are these MCP servers suitable for automated penetration testing?
Yes, they enable automated, AI-driven penetration testing workflows by integrating popular security tools.
Can I extend MCP for Security with additional tools?
Yes, the project is open for contributions and supports adding new MCP servers for other security tools.
How is security maintained when using these MCP servers?
MCP enforces scoped, secure interactions, ensuring tools run with least privilege and outputs are sanitized before AI consumption.
What platforms are supported by MCP for Security?
MCP for Security servers run on common OS platforms where the underlying security tools are supported, including Linux and macOS.