TRACK
AI Security Standards
The MCP Trust Framework is the first security standard for AI agent tools. 25 automated controls, trust scoring, and enterprise governance for MCP server deployment.
1 articles in this track
Frequently Asked Questions
Why do MCP servers need a security standard?
MCP servers run on your infrastructure with access to your credentials. A compromised server can exfiltrate data, modify records, or introduce supply chain vulnerabilities. The MCP Trust Framework provides automated evaluation so you don't have to manually audit every server.
What does the MCP Trust Framework evaluate?
Five dimensions: dependency security (known CVEs), permission scoping (least privilege), code quality (malicious patterns), runtime behavior (declared vs actual), and author verification. Each dimension contributes to a trust level from untrusted through verified.
Is the MCP Trust Framework open?
Yes. Published at mpaktrust.org under an open license. Any registry, tool, or organization can adopt it. NimbleBrain created it as ecosystem infrastructure. MCP security should be a baseline, not a competitive advantage.