EU AI Act Compliance MCP Server
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TDQS
Scored across 16 tools
Each tool targets a distinct compliance concern: retrieval of templates, disclosures for interaction/emotion, labeling vs watermarking for different content types, risk classification, prohibited practice checking, role determination, and security scanning. No two tools have overlapping purposes; the descriptions clearly differentiate human-readable labels from machine-readable watermarks and different compliance articles.
The tools follow a consistent verb_noun pattern: get_* for retrieval, label_* for disclosure generation, watermark_* for metadata generation, and specific verbs like classify, check, determine, scan. Minor deviation: label_news_text vs label_image_deepfake (news text vs deepfake modality), but overall the naming is predictable and systematic.
With 16 tools, the server covers a broad but well-defined domain of EU AI Act compliance. The count is slightly at the upper boundary but each tool serves a distinct content type or compliance article, so it doesn't feel bloated.
The server provides comprehensive coverage for the EU AI Act's transparency obligations (labels, watermarks), risk classification, prohibited practices, role determination, and security checks. Minor gaps exist (e.g., no dedicated GPAI obligations tool), but core compliance workflows are fully covered.