What tools are included in Pentest?

Pentest integrates over 20 essential penetration testing tools including Nmap, Nuclei, SQLMap, OWASP ZAP, and Subfinder.

What is MCP and how does Pentest use it?

MCP (Model Context Protocol) allows LLMs to interact with external tools. Pentest acts as an MCP Server, exposing penetration testing tools as callable functions for MCP Clients.

How do I install and use Pentest?

The easiest way is to pull the pre-built Docker image. Then, configure an MCP-compatible client (like Claude Desktop or VS Code with Copilot) to connect to the Pentest Docker container.

Does pentestMCP work on Windows, MacOS and Linux?

pentestMCP can run seamlessly in Windows, MacOS and Linux through docker.

Pentest is an MCP server that bridges Large Language Models (LLMs) with penetration testing tools, enabling AI-driven security assessments.

Pentest

Name: Pentest
Author: Ram001-code

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Bridges Large Language Models with penetration testing tools via the Model Context Protocol (MCP).

Pentest enables natural language control over complex security workflows, making pentesting capabilities more accessible and integrated into AI-driven environments by acting as an MCP server, exposing a curated suite of over 20 standard security assessment utilities (Nmap, Nuclei, ZAP, SQLMap, etc.) as callable 'tools' that AI agents within MCP-compatible clients can leverage for automated and interactive security analysis tasks.

Key Features

01Efficiently handles long-running scans without locking up the interaction flow.

02Provides direct control over OWASP ZAP Active Scan and AJAX Spider functionalities.

03Dockerized environment ensures consistent tool availability across platforms.

040 GitHub stars

05Integrates over 20 essential penetration testing tools via MCP.

06Enables any MCP client supporting `stdio` server launching to utilize complex pentesting workflows.

Use Cases

01Automated vulnerability assessments driven by AI.

02Natural language control of penetration testing tools.

03Integration of security testing into AI-driven development workflows.