ModelSafetyMCP is an MCP server for scanning machine learning model artifacts for unsafe serialization, malicious model patterns, risky packaging, URL-based artifact scanning, and directory-level triage.
MCP server for UK AI Bill 2026 compliance, implementing a 5-principles framework (Safety, Transparency, Fairness, Accountability, Contestability) to help audit and classify AI systems.
An MCP server that evaluates file write requests for sensitive data and compliance using deterministic policies and Google Gemini reasoning, providing auditable governance and risk scoring.
An MCP server that enforces a scientific-method loop for AI-driven machine learning experiments, with hypothesis gating, diagnostics, and data forensics.