MCP Audit

Example Use Cases

• 1

  Identify exposed secrets and API endpoints in AI development environments before deployment.

• 2

  Inventory AI models and assess security risks in local machine configurations.

• 3

  Integrate security scans into CI/CD pipelines to fail builds on critical risks.

Description

MCP Audit provides visibility into what your AI agents can access by scanning configurations in tools like Claude Desktop, Cursor, and VS Code. It detects exposed secrets such as API keys and tokens, inventories API endpoints and AI models, and flags potential security risks. The tool supports both a web app for org-wide GitHub repository scans and a CLI for deep local machine analysis, helping teams prevent accidental exposure of sensitive information and comply with security standards.