OffensiveSET MCP Server
PentesterFlow/OffensiveSET
Offensive Security Dataset Generator — MCP server for generating high-quality pentesting conversation datasets for LLM fine-tuning
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
PentesterFlow/OffensiveSET is a TypeScript MCP server licensed under MIT. Offensive Security Dataset Generator — MCP server for generating high-quality pentesting conversation datasets for LLM fine-tuning
Ranked #1014 out of 28240 indexed tools.
In the top 4% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
37 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
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From the README
<p align="center"> </p> <h1 align="center">OffensiveSET</h1> <p align="center"> <strong>Offensive Security Dataset Generator</strong> — An MCP server that generates high-quality, multi-turn pentesting conversation datasets for fine-tuning security-focused LLMs. </p> <p align="center"> </p> Built for training models like Qwen3.5 to think and act like professional penetration testers. --- ## What It Does OffensiveSET generates realistic penetration testing conversations in ShareGPT/ChatML JSONL format. Each entry is a complete pentest engagement — from reconnaissance to exploitation to professional reporting — with: - **Multi-turn conversations** (8-15 turns) following real pentester workflows - **Chain-of-thought reasoning** via `<think>` blocks modeling how pentesters analyze attack surfaces - **Realistic tool outputs** — unique nmap scans, sqlmap dumps, nuclei findings per entry (no duplicates) - **Failure cases** — blocked attacks, WAF bypasses, honeypoRead full README on GitHub →
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