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Dataprivacy Ai automation via MCP. Includes classify personal data, assess lawful basis, gen...
Dataprivacy Ai automation via MCP. Includes classify personal data, assess lawful basis, gen...
This MCP server has a critical security vulnerability: arbitrary code execution via an unsafe import path that loads external code from the user's home directory. The server imports from `~/clawd/meok-labs-engine/shared` without validation, enabling local privilege escalation or remote code injection. Additionally, the `api_key` parameter is accepted but not properly validated before being passed to an external auth function, and sensitive processing operations accept API keys without enforcing proper authentication on all tools. While the functional code demonstrates legitimate GDPR/privacy compliance features, the authentication architecture and unsafe imports present serious security risks. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-csoai-org-dataprivacy-ai-mcp": {
"args": [
"-y",
"dataprivacy-ai-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Installation · Docs · Report Bug
pip install dataprivacy-ai-mcp
# or
npm install -g @meok-ai/dataprivacy-ai-mcp
See the project repository for full documentation and examples.
MIT © CSOAI
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