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Model Context Provider (MCP)

by allsmog

The Model Context Provider (MCP) is an open-source framework that bridges AI with penetration testing tools. It acts as an AI-driven assistant and middleware for penetration testing engagements, guiding pentesters through each phase of the process.

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What is Model Context Provider (MCP)?

The Model Context Provider (MCP) is an open-source framework that interfaces with a wide array of pentesting tools, parses and enriches their output in real-time, and strictly follows the standard penetration testing process.

How to use Model Context Provider (MCP)?

To use MCP, you need Docker and Docker Compose, Python 3.8+, network connectivity to target environments, and proper authorizations. Clone the repository, build the Docker containers, and start the MCP services. Then, you can create new penetration testing engagements, start reconnaissance scans, and query the AI assistant using the API.

Key features of Model Context Provider (MCP)

  • Methodology Enforcement

  • Real-time Context Aggregation

  • LLM-Powered Insights

  • Seamless Tool Integration

  • Secure Data Handling

  • Reporting and Knowledge Retention

Use cases of Model Context Provider (MCP)

  • Automated penetration testing workflows

  • AI-assisted vulnerability analysis

  • Real-time security assessment

  • Enhanced reporting and knowledge retention

FAQ from Model Context Provider (MCP)

What tools does MCP integrate with?

MCP integrates with Nmap, Masscan, Gobuster, Nikto, Metasploit Framework, Hydra, John the Ripper, and LinPEAS.

What is the architecture of MCP?

MCP is built on a microservices-based, event-driven system deployed in a containerized environment.

How can I contribute to MCP?

You can contribute by implementing new tool integrations, improving the AI assistant's capabilities, enhancing the UI/UX, writing documentation, or testing the system.

What license is MCP released under?

MCP is licensed under the MIT License.

What are the prerequisites for running MCP?

The prerequisites are Docker and Docker Compose, Python 3.8+, network connectivity to target environments, and proper authorizations for penetration testing.