hexstrike-ai: HexStrike AI MCP Agents is an advanced MCP server that lets AI agents autonomously run 150+ cybersecurity

by 0x4m4 · MCP Server · ★ 13.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install hexstrike-ai

git clone https://github.com/0x4m4/hexstrike-ai.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

0x4m4aiai-agentsai-cybersecurityai-hackingai-penetration-testingai-security-toolartificial-intelligencectf-toolsgenerative-ai

Quick Facts

Stars13,311
Forks2,688
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues131
Last Updated2026-08-03
Created2025-07-10
Platformsclaude-code, mcp, python
Est. Tokens~21k

About hexstrike-ai

HexStrike AI MCP Agents v6.0 AI-Powered MCP Cybersecurity Automation Platform Advanced AI-powered penetration testing MCP framework with 150+ security tools and 12+ autonomous AI agents 📋 What's New • 🏗️ Architecture • 🚀 Installation • 🛠️ Features • 🤖 AI Agents • 📡 API Reference Follow Our Social Accounts <a href="https://disco

Compatible Skills

These tools work well together with hexstrike-ai for enhanced workflows:

  • fuzzforge_ai — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • open-terminal — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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