0x4m4/hexstrike-ai

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated...

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Summary Information

Updated 27 minutes ago
Added to GitGenius on September 5th, 2026
Created on July 10th, 2025
Open Issues & Pull Requests: 105 (+0)
GitHub issues: Enabled
Number of forks: 2,406
Total Stargazers: 11,607 (+1)
Total Subscribers: 186 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.6 hours
Mean response time: 3.6 days
90th percentile: 7.4 days
Tracked items: 97

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 75% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 6% of issues opened in the past year have been closed. Three people close 78% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 60
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 229 days
Stale 30+ days: 55
Stale 90+ days: 45

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Installation & Setup (9)
  • Fixed the issue (2)
  • enhancement (2)
  • documentation (1)
  • good first issue (1)
  • invalid (1)
  • question (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

HexStrike AI is an MCP server that enables AI agents to autonomously execute cybersecurity tools for penetration testing and vulnerability discovery.

The tool addresses the gap between large language models and real-world offensive security capabilities. It works by establishing a connection between AI agents like Claude or GPT and a collection of over 150 security tools through the MCP protocol. When an AI agent connects, it can analyze a target, select appropriate testing strategies, and execute comprehensive security assessments autonomously. The system adapts in real time based on discovered vulnerabilities and provides visual reporting with risk analysis.

Developers should adopt this tool if they need to automate penetration testing workflows, conduct bug bounty research, or integrate security testing into AI-driven applications. It suits projects where security assessment needs to be triggered programmatically by language models rather than run manually. The tool integrates with multiple AI clients including Claude Desktop, Cursor, VS Code Copilot, and Roo Code, giving flexibility in how it connects to existing development environments.

The project shows active development with regular updates to its agent architecture and tool integrations. The codebase is maintained with attention to expanding the security tools arsenal and improving the decision engine that selects testing strategies. Documentation includes installation videos and setup guides for multiple AI client platforms, indicating ongoing effort to support user onboarding across different environments.