pentestMCP MCP Server
RamKansal/pentestMCP
[](https://agentrank-ai.com/tool/RamKansal--pentestMCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
RamKansal/pentestMCP is a Python tool. pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers. Topics: cybersecurity, mcp, mcp-client, mcp-server, python.
Ranked #5629 out of 24846 indexed tools.
Ecosystem
Score Breakdown
109 stars → growing community
Last commit 1mo ago → moderate activity
3/4 issues closed → decent issue management
4 contributors → small team
No dependents → no downstream usage
3 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# pentestMCP: AI-Powered Penetration Testing via MCP **pentestMCP provides a powerful bridge between Large Language Models (LLMs) and practical penetration testing tools through the Model Context Protocol (MCP). This project functions as an MCP Server, exposing a curated suite of over 20 standard security assessment utilities (Nmap, Nuclei, ZAP, SQLMap, etc.) as callable 'tools'. This allows AI agents within MCP-compatible clients (like Claude Desktop or specific VS Code setups) to leverage these utilities for automated and interactive security analysis tasks.** The goal is to enable natural language control over complex security workflows, making pentesting capabilities more accessible and integrated into AI-driven environments. This work is inspired by [Laurie Kirk](https://github.com/LaurieWired/)'s [GhidraMCP](https://github.com/LaurieWired/GhidraMCP). --- ## Table of Contents - [Core Concepts & Architecture](#core-concepts--architecture) - [Key Features](#key-features) - [PreRead full README on GitHub →
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