About
Feedback Analyzer Ai MCP Server by MEOK AI Labs
Security Report
This MCP server implements feedback analysis with a rate-limiting and metering system. While the core analysis logic is sound and read-only, there are significant concerns around the authentication/metering architecture: unauthenticated access is allowed by default (fail-open design), network calls to external metering endpoints could expose API keys in request bodies, and the rate-limiting relies on in-memory state that resets on server restart. The server's permissions are appropriate for its purpose, but the security-critical metering system has architectural weaknesses that create compliance and privacy risks. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
7 files analyzed · 16 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-feedback-analyzer-ai-mcp": {
"args": [
"-y",
"feedback-analyzer-ai-mcp"
],
"command": "npx"
}
}
}Reviews
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