operantlabs/operant-mcp

Overview

Operant MCP connects AI agents to a penetration testing framework (Metasploit) via the Model Context Protocol. It allows agents to execute reconnaissance and exploitation commands through a standardized interface.

Best for

Best for
Security researchers and red teams building autonomous penetration testing pipelines

Use cases

• Automate network scanning and vulnerability assessment
• Execute Metasploit modules for targeted exploitation
• Integrate penetration testing workflows into agentic pipelines

Notes

Operant MCP connects AI agents to a penetration testing framework (Metasploit) via the Model Context Protocol. It allows agents to execute reconnaissance and exploitation commands through a standardized interface.

8 stars on GitHub. Last updated 2026-04-01. Licensed MIT.

Use cases

• Automate network scanning and vulnerability assessment
• Execute Metasploit modules for targeted exploitation
• Integrate penetration testing workflows into agentic pipelines

Pros

• Directly bridges AI agents with industry-standard hacking tools
• Written in TypeScript for type safety and easy integration
• Small, focused codebase with minimal dependencies

Cons

• Relies on Metasploit being installed and correctly configured on the host
• Limited to Metasploit capabilities without additional plugins
• Requires careful permission management to avoid unintended damage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.