securityfortech/secops-mcp

Overview

secops-mcp is an all-in-one security testing toolbox that aggregates popular open source tools through a single Model Context Protocol interface. When connected to an AI agent, it enables automated penetration testing, bug bounty hunting, and threat hunting tasks. The Python-based project simplifies access to multiple security tools by providing a unified interface for AI-driven workflows.

Best for

Best for
Security researchers and penetration testers who want to leverage AI agents for automated security testing and tool orchestration

Use cases

• Automated penetration testing with AI agents
• Streamlined bug bounty reconnaissance and scanning
• Orchestrating threat hunting workflows across multiple tools

Notes

secops-mcp is an all-in-one security testing toolbox that aggregates popular open source tools through a single Model Context Protocol interface. When connected to an AI agent, it enables automated penetration testing, bug bounty hunting, and threat hunting tasks. The Python-based project simplifies access to multiple security tools by providing a unified interface for AI-driven workflows.

196 stars on GitHub. Last updated 2025-09-17. Licensed MIT.

Use cases

• Automated penetration testing with AI agents
• Streamlined bug bounty reconnaissance and scanning
• Orchestrating threat hunting workflows across multiple tools

Pros

• Combines multiple open source security tools under one interface, reducing context switching
• Enables AI-driven automation of repetitive security testing tasks
• Python-based, making it easy to extend or integrate with existing Python security scripts

Cons

• Requires an MCP-compatible client and understanding of the Model Context Protocol
• Aggregates existing tools, so users still need familiarity with each underlying tool
• Relatively new project with limited community size and documentation

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