itsalissonsilva/ModelSafetyMCP

Overview

ModelSafetyMCP is an MCP server that inspects machine learning models for safety issues. It uses Python to analyze model files and report potential risks or vulnerabilities.

Best for

Best for
Developers needing a simple, protocol-based tool to check model safety before use.

Use cases

• Scanning models for safety compliance before deployment
• Integrating model safety checks into CI/CD pipelines
• Auditing third-party models for known risks

Notes

ModelSafetyMCP is an MCP server that inspects machine learning models for safety issues. It uses Python to analyze model files and report potential risks or vulnerabilities.

0 stars on GitHub. Last updated 2026-04-15. Licensed MIT.

Use cases

• Scanning models for safety compliance before deployment
• Integrating model safety checks into CI/CD pipelines
• Auditing third-party models for known risks

Pros

• Focused on a specific, important task of model safety
• Leverages the MCP protocol for easy integration with other tools
• Lightweight Python implementation

Cons

• No stars or community adoption yet, indicating early stage
• Limited documentation and examples available
• Scope may be narrow for general model inspection needs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.