mcp-for-security and mcp-checkpoint

One provides MCP servers for popular security tools, while the other secures and monitors MCP operations, suggesting they are complementary for integrating and managing security testing within an AI workflow.

mcp-for-security
62
Established
mcp-checkpoint
52
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 10/25
Adoption 9/25
Maturity 22/25
Community 11/25
Stars: 559
Forks: 98
Downloads:
Commits (30d): 1
Language: TypeScript
License: MIT
Stars: 111
Forks: 9
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No risk flags

About mcp-for-security

cyproxio/mcp-for-security

MCP for Security: A collection of Model Context Protocol servers for popular security tools like SQLMap, FFUF, NMAP, Masscan and more. Integrate security testing and penetration testing into AI workflows.

This project offers a collection of tools designed for security professionals to automate and integrate security testing into AI-driven workflows. It takes input from various security tools like Nmap, SQLmap, and FFUF, processing network scans, vulnerability assessments, and web content fuzzing. The output provides structured data that can be used by AI systems for advanced threat detection and automated response, benefiting security engineers, penetration testers, and cybersecurity analysts.

penetration-testing vulnerability-management network-security web-application-security mobile-application-security

About mcp-checkpoint

aira-security/mcp-checkpoint

MCP Checkpoint continuously secures and monitors Model Context Protocol operations through static and dynamic scans, revealing hidden risks in agent-to-tool communications.

This tool helps AI security engineers and developers automatically find and analyze Model Context Protocol (MCP) servers used by their AI agents. It takes your agent configuration files and local MCP server data as input. It then identifies potential security vulnerabilities and generates detailed reports, letting you proactively secure your AI agent's interactions with external tools and resources.

AI Security Agentic AI Development AI Governance Cybersecurity Auditing Prompt Engineering

Scores updated daily from GitHub, PyPI, and npm data. How scores work