About
Data Science Ai MCP Server by MEOK AI Labs
Security Report
This MCP server implements data science analysis tools with reasonable input validation and auth middleware integration. However, several security concerns reduce confidence: the server makes unauthenticated HTTP calls to external metering endpoints without proper error handling or timeouts, credentials are passed as plaintext parameters in tool signatures, and there is potential for sensitive data exposure through logging and network calls. The code quality is fair but lacks defensive programming in critical paths. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 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-data-science-ai-mcp": {
"args": [
"-y",
"data-science-ai-mcp"
],
"command": "npx"
}
}
}Reviews
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