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AI explainability and transparency reports for AI agents. Instant transparency scan, model c...
AI explainability and transparency reports for AI agents. Instant transparency scan, model c...
This MCP server provides AI transparency and explainability tools aligned with EU AI Act requirements. The code is well-structured and serves a legitimate governance purpose. However, there are moderate security concerns: the authentication system has a hardcoded fallback API key in environment variable checks, a custom auth engine path with directory traversal potential, overly broad exception handling, and missing input validation on user-supplied text that gets formatted into templates. These issues are fixable but should be addressed before production use. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 12 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-csoai-org-explainability-report-mcp": {
"args": [
"explainability-report-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
By MEOK AI Labs | The only MCP server for AI explainability and transparency reports.
Installation · Docs · Report Bug
pip install explainability-report-mcp
# or
npm install -g @meok-ai/explainability-report-mcp
See the project repository for full documentation and examples.
MIT © CSOAI
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