MCP server that scans ML model artifacts for unsafe serialization, malicious patterns, and risky packaging. Uses ModelScan, PickleScan, and heuristics to identify security threats in model files and directories.
ModelSafetyMCP is an MCP server designed to enhance the security of machine learning workflows by scanning model artifacts for potential vulnerabilities and threats. It detects unsafe serialization methods, identifies malicious model patterns, flags risky packaging practices, and performs URL-based and directory-level security triage.
Install the server as an MCP server in your environment. Configure it to integrate with your Claude or compatible AI assistant. Once deployed, it can scan model artifacts through direct file paths, directories, or URLs provided by users.
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