Hexstrike Ai
VerifiedAI-powered MCP server bridging LLMs with 150+ cybersecurity tools.
What is the Hexstrike Ai MCP server?
HexStrike AI provides a multi-agent architecture for automated security assessments. It supports integration with various MCP-compatible clients and manages 150+ security tools across network, web, cloud, binary, CTF, and OSINT categories.
The server features smart caching, resource optimization, and real-time visualization for progress and vulnerabilities. Installation requires cloning the repository and setting up a Python environment with the listed dependencies.
Install & connect
Add this to your MCP client config. Pick your client below and copy.
{
"mcpServers": {
"hexstrike-ai": {
"command": "uvx",
"args": [
"-r"
]
}
}
}Package: -r (pypi)
Other ways to install
pip
pip install -rExample prompts
Once connected, try asking your AI client:
Security & permissions
Runs locally via stdio transport; requires execution permissions for external security tools and network access to targets.
What you can do with Hexstrike Ai
Automated Pentesting
Run comprehensive security assessments on targets using autonomous agents that select and chain tools intelligently.
Bug Bounty Automation
Accelerate vulnerability discovery and reporting workflows with specialized BugBounty Agent capabilities.
CTF and Research
Solve challenges and conduct security research using CTF Solver and CVE Intelligence agents.
How to use Hexstrike Ai
- 1Clone the repository from GitHub and navigate to the directory.
- 2Create and activate a Python virtual environment.
- 3Install dependencies from requirements.txt.
- 4Configure the MCP server in your AI client (Claude Desktop, VS Code, etc.).
- 5Launch the server and connect your AI agent via the MCP protocol.
Hexstrike Ai: pros & cons
Pros
- +Integrates 150+ real security tools with AI decision engines.
- +Supports multiple autonomous specialized agents for different tasks.
- +Provides real-time dashboards and vulnerability visualization.
Cons
- –No specific MCP tool schemas documented in available README.
- –Requires manual installation of numerous external CLI tools.
- –Limited to supported AI clients; some versions have compatibility issues.
Frequently asked questions
Claude Desktop, VS Code Copilot, Cursor, Roo Code, and other MCP-compatible agents.
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