by RamKansal · MCP Server · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 D
| Stars | 73 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 67.1308888481703/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-06 |
| Created | 2025-04-29 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~4458k |
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pentestMCP is pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers.. It is categorized as a MCP Server with 73 GitHub stars.
pentestMCP is primarily written in Python. It covers topics such as cybersecurity, mcp, mcp-client.
You can find installation instructions and usage details in the pentestMCP GitHub repository at github.com/RamKansal/pentestMCP. The project has 73 stars and 18 forks, indicating an active community.
The top alternatives to pentestMCP on Agent Skills Hub include mcp-gateway, mcp-python-interpreter, MCPSharp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.