Show HN: APIsec MCP Audit – Audit what your AI agents can access (github.com)

APIsec has launched MCP Audit, a powerful tool designed to assess the access and permissions of AI agents before deployment. This tool scans development environments like Claude Desktop and VS Code, identifying potential vulnerabilities such as exposed API keys, access tokens, and database passwords. Users can perform scans locally or through a web application, revealing details about connected APIs, the AI models in use, and any critical risk flags, such as shell or filesystem access. Notably, MCP Audit allows for automated fail builds in CI/CD processes based on the detection of critical risks, ensuring robust security practices integrated into development workflows. The significance of MCP Audit lies in its ability to enhance the security posture of AI/ML projects, as risks associated with misconfigured models and exposure of sensitive information can lead to severe implications. With preemptive detection features that call attention to secrets, API connections, and model configurations, it provides developers with an essential layer of compliance and monitoring. The tool's capability to generate various report formats, including JSON and CycloneDX for supply chain compliance, underscores its potential to streamline the auditing process and reinforce security governance within organizations leveraging AI technologies.