Model Context Provider (MCP) for Penetration Testing

Created By
allsmoga year ago
An MCP server for pentesting. Contributors wanted!
Overview

What is Model Context Provider (MCP) for Penetration Testing?

MCP is an AI-driven middleware designed to assist penetration testers by integrating various pentesting tools and guiding users through the testing process.

How to use MCP?

To use MCP, clone the repository, build the Docker containers, and start the services. You can create engagements and run tasks via API calls.

Key features of MCP?

  • Methodology enforcement for structured testing phases.
  • Real-time context aggregation from multiple tools.
  • LLM-powered insights for interpreting findings.
  • Seamless integration with major pentesting tools.
  • Secure data handling and reporting capabilities.

Use cases of MCP?

  1. Streamlining penetration testing engagements.
  2. Enhancing collaboration among security teams.
  3. Providing AI-driven insights during testing phases.

FAQ from MCP?

  • Is MCP suitable for all types of penetration testing?

Yes, MCP is designed for various penetration testing scenarios, provided they are conducted legally and ethically.

  • How can I contribute to MCP?

Contributions are welcome! Check the CONTRIBUTING.md file for details on how to get involved.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
allsmog
Star
0
Language
Python
License
MIT license

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