"author:JunHwan-Kwon" matching MCP servers:

Enables local static analysis of deployed AI model artifacts over MCP, exposing audit, diff, capabilities, and rule-explanation tools without uploading model bytes.

Enables local candidate review of ONNX or TFLite models by checking static evidence and externally measured results against a fixed policy, producing accept/reject/hold evidence ZIPs for AI agent workflows.