Vet
Security registry for 88K+ MCP servers and AI tools
What is Vet?
Vet is a security registry and audit platform designed to help users safely discover and evaluate AI tools, MCP (Model Context Protocol) servers, and AI skills. With coverage of 88,000+ tools and 15,000+ skills, Vet provides automated security analysis, trust scoring, and permission mapping to identify potential risks before integrating new AI capabilities. The platform addresses a critical gap in AI tool discovery by adding a security-first layer, similar to how app stores verify applications, Vet vets AI tools for vulnerabilities, malicious permissions, and trustworthiness. It's built for developers, AI engineers, and enterprises who need visibility into what AI tools can access and what risks they introduce to their systems.
Key Features
Security scanning
Automated analysis of AI tools and MCP servers for vulnerabilities and malicious behaviour
Trust scoring
Quantified trust ratings that help users quickly assess tool safety and reliability
Permission mapping
Detailed breakdown of what data and system access each tool requires
Tool discovery
Searchable registry of 88,000+ AI tools and MCP servers with security context
Audit capabilities
Historical security data and audit trails for compliance and governance
Risk alerts
Notifications for newly discovered vulnerabilities in tools you're monitoring
Pros & Cons
Advantages
- Solves a genuine security gap in AI tool adoption by providing transparent risk assessment
- Large registry (88K+ tools) makes it a thorough discovery platform, not just a checker
- Freemium model allows individuals and small teams to access core security features at no cost
- Trust scores provide quick, actionable guidance for teams evaluating multiple tools
- Permission mapping adds transparency to AI tool dependencies and access requirements
Limitations
- Security database coverage may lag behind rapidly emerging new AI tools and MCP servers
- Trust scoring methodology may be opaque, users may need to understand how scores are calculated to make informed decisions
- Freemium limitations unclear, premium features may be required for thorough audits of enterprise tool stacks
Use Cases
AI engineers evaluating third-party MCP servers before integrating them into production environments
Security teams auditing AI tool usage across their organization to identify permission risks
Developers discovering new AI capabilities while filtering by security and trust ratings
Enterprises building AI tool governance policies with security data from Vet's registry
Startups vetting AI integrations before scaling to protect customer data and system integrity