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.

52
/ 100
Established

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.

111 stars. Available on PyPI.

Use this if you are building or deploying AI agents and need to ensure the security of their interactions via the Model Context Protocol, protecting against prompt injection, tool poisoning, and other emerging threats.

Not ideal if you need real-time runtime enforcement or advanced agent behavior policy analysis, as this tool primarily focuses on static configuration scanning.

AI Security Agentic AI Development AI Governance Cybersecurity Auditing Prompt Engineering
Maintenance 10 / 25
Adoption 9 / 25
Maturity 22 / 25
Community 11 / 25

How are scores calculated?

Stars

111

Forks

9

Language

Python

License

Apache-2.0

Last pushed

Feb 21, 2026

Commits (30d)

0

Dependencies

6

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/aira-security/mcp-checkpoint"

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