About
Optometry Ai Safety MCP Server by MEOK AI Labs
Security Report
This MCP server implements rate-limiting and metered access controls via a remote verification endpoint, with four read-only compliance classification tools. However, several code quality and architectural concerns reduce confidence: the server-side meter check has a permissive fail-open design that could bypass intended rate limits, the authentication layer relies on environment variables and prefix-based trust without validation, and there is insufficient input validation on user-supplied parameters. The tools themselves are stateless and safe, but the surrounding metering and auth infrastructure has exploitable weaknesses. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
7 files analyzed · 15 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-csoai-org-optometry-ai-safety-mcp": {
"args": [
"-y",
"optometry-ai-safety-mcp"
],
"command": "npx"
}
}
}Reviews
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