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CSOAI-ORG/eu-ai-act-compliance-mcp

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📚 Freezes the EU AI Act as a 417-provision measurement corpus (113 Articles, provision-level) with a signed GSPC crosswalk and article-level MCP tools. Measurement, not certificat

MCP

CSOAI-ORG/eu-ai-act-compliance-mcp

Added 8 Sept 2026

#a-100-100 #ai-governance #art-12 #art-50 #compliance #csoai #eu-ai-act #layer-0

Overview

A Python-based MCP server that freezes the EU AI Act into a 417-provision measurement corpus across 113 Articles, with a signed GSPC crosswalk and article-level MCP tools. It provides a structured reference for measuring compliance, not for certification.

Best for

Best for
Developers building compliance measurement or gap-analysis tools that need a structured, frozen snapshot of the EU AI Act.

Use cases

  • Query specific EU AI Act articles via MCP tools for compliance checks
  • Map internal AI system controls to the GSPC crosswalk for gap analysis
  • Build automated measurement pipelines against the frozen 417-provision corpus

Notes

A Python-based MCP server that freezes the EU AI Act into a 417-provision measurement corpus across 113 Articles, with a signed GSPC crosswalk and article-level MCP tools. It provides a structured reference for measuring compliance, not for certification.

1 stars on GitHub. Last updated 2026-09-04. Licensed MIT.

Use cases

  • Query specific EU AI Act articles via MCP tools for compliance checks
  • Map internal AI system controls to the GSPC crosswalk for gap analysis
  • Build automated measurement pipelines against the frozen 417-provision corpus

Pros

  • Provision-level granularity (417 provisions) enables precise measurement
  • Signed GSPC crosswalk provides a standardized mapping layer
  • MCP tools allow programmatic access to article-level data

Cons

  • Explicitly not a certification tool, so no legal assurance
  • Very low community traction (1 star) suggests limited testing or support
  • Python-only implementation may restrict integration with non-Python stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provision-level granularity (417 provisions) enables precise measurement
  • Signed GSPC crosswalk provides a standardized mapping layer
  • MCP tools allow programmatic access to article-level data

Cons

  • Explicitly not a certification tool, so no legal assurance
  • Very low community traction (1 star) suggests limited testing or support
  • Python-only implementation may restrict integration with non-Python stacks
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