Overview
HexStrike AI MCP Agents (v6.0) is an AI-powered penetration testing and security automation framework built around the MCP protocol. It provides a server that MCP-compatible AI clients (Claude, GPT-based clients, Copilot integrations, etc.) can connect to, enabling autonomous AI agents to orchestrate and execute large-scale security toolchains. The project advertises integration with 150+ professional security tools and 12+ specialized AI agents for workflows such as bug bounty automation, CVE intelligence, exploit generation, and CTF solving.
Architecture
- Multi-Agent MCP Server: an MCP-compatible server accepts connections from MCP agents and coordinates work across multiple specialized agents.
- Intelligent Decision Engine: selects appropriate tools and optimizes parameters based on target context and previous results.
- Tool Execution Layer: runs and monitors 150+ external security tools (network scanners, web fuzzers, binary analysis tools, cloud security utilities, etc.).
- Visual Engine & Dashboard: provides real-time progress visualization, vulnerability cards and telemetry for oversight.
Key Features
- 150+ integrated security tools covering network, web, binary, cloud, forensics, and OSINT workflows.
- 12+ autonomous AI agents (e.g., BugBountyWorkflowManager, CVEIntelligenceManager, AIExploitGenerator) that manage specialized tasks and recovery.
- Smart caching, process management, parameter optimization, and graceful degradation for robust long-running operations.
- Browser/Headless agent support for JS- heavy web testing, screenshots, DOM analysis, and proxy integration (Burp/ZAP).
- API endpoints for health, command execution, telemetry, and intelligence endpoints for tool selection and parameter optimization.
Typical Use Cases
- Authorized penetration testing and red-team automation (run comprehensive scanning and targeted exploitation workflows in authorized scopes).
- Bug-bounty automation: automate reconnaissance, parameter mining, templated scanning (Nuclei), and targeted follow-ups.
- Security research and CVE intelligence: aggregate findings, correlate vulnerabilities, and assist exploit generation.
- CTF automation: assist with rapid binary analysis, exploitation, and challenge solving.
Installation & Integration (Summary)
- Clone the repository and install Python dependencies (supports Python 3.8+).
- Start the MCP server locally and configure MCP-compatible clients (examples included for Claude Desktop, VS Code Copilot, Cursor).
- The project includes installation guidance for tools, browser-agent prerequisites (Chrome/Chromedriver), and example API calls for health and analysis.
Safety, Legal & Operational Notes
- Designed for use in isolated environments (VMs/containers) because it runs powerful security tools and can execute arbitrary commands.
- The README emphasizes legal/ethical boundaries: only run against systems you own or have explicit authorization to test; unauthorized testing is prohibited.
Who Should Use It
- Security researchers and red-teamers who want to prototype or run AI-assisted automated assessment workflows.
- Bug-bounty hunters seeking scalable reconnaissance and templated scanning automation.
- Developers of AI security tooling who need an MCP server and integration patterns for connecting LLM agents to real-world tools.
License & Contributions
- The project is MIT-licensed. Contributions are welcomed (tool integrations, agent improvements, documentation). The README provides development setup and contribution priorities.
