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Pentest MCP

by DMontgomery40

Security/Toolspentestingsecuritynmapgobusterniktojohn the ripperautomationnatural language interface

Pentest MCP is a Model Context Protocol server that integrates essential pentesting tools into a unified natural language interface. It allows security professionals to execute, chain, and analyze multiple tools through conversational commands.

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What is Pentest MCP?

Pentest MCP is a comprehensive toolkit for professional penetration testers, integrating Nmap, Gobuster, Nikto, and John the Ripper under a single natural language interface for streamlined workflow and automated reporting.

How to use Pentest MCP?

Install using npm install -g pentest-mcp. Configure MCP to include the server with npx pentest-mcp -y. Use natural language commands to execute pentesting tasks, chain tools, and generate reports.

Key features of Pentest MCP

  • Workflow Integration

  • Natural Language Interface

  • Automated Reporting

  • Time Efficiency

  • Voice Control Compatible

  • Context Awareness

Use cases of Pentest MCP

  • Network Discovery & Service Enumeration

  • Web Application Testing

  • Multi-Tool Assessment Chain

  • Custom Password Cracking

  • Analysis & Reporting

FAQ from Pentest MCP

What tools are integrated into Pentest MCP?

Pentest MCP integrates Nmap, Gobuster, Nikto, and John the Ripper.

What are the system requirements for Pentest MCP?

It requires Nmap, John the Ripper, Gobuster, Nikto in your PATH, Node.js v16+, a local MCP file server, and root/admin permissions for privileged scans.

How do I install Pentest MCP?

You can install it globally using npm install -g pentest-mcp.

What kind of scans can I run with Nmap through Pentest MCP?

You can run port scans (TCP SYN, TCP Connect, UDP), service and version detection, OS fingerprinting, NSE script execution, and customize timing templates.

What should I do if I encounter PATH issues?

Ensure all tools (Nmap, Gobuster, Nikto, John the Ripper) are installed and correctly added to your system's PATH environment variable. If problems persist, submit logs to the Issues section of the GitHub repository.