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Run AI models, create deployments, and manage predictions via cloud API
Run AI models, create deployments, and manage predictions via cloud API
This is a generated GitHub MCP server with generally sound security practices. Authentication is properly handled through environment variables, sensitive data sanitization is implemented, and there's robust error handling with rate limiting and circuit breaker patterns. However, there are notable concerns: unauthenticated operation is possible with env var fallbacks, some error logging could expose request details, and the `.env` file loading pattern could inadvertently expose secrets. The truncated code makes full assessment difficult, but visible patterns are mostly defensive. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue (1 critical, 0 high severity).
4 files analyzed · 12 issues found
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Unverified package source
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