CSOAI-ORG/eu-ai-act-compliance-mcp
by Various
📚 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
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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