Scans AI codebases for EU AI Act risks, maps findings to articles, and provides compliance checks and remediation guidance.
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💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Eu AI Act.
The ark-forge/mcp-eu-ai-act MCP server examines an AI project and produces compliance-oriented findings for the EU AI Act. It identifies AI framework usage in source code and configuration or manifest files, assigns or evaluates a risk category, and checks whether expected compliance documentation exists and contains relevant content.
The scanner supports 16 AI frameworks across Python, JavaScript, TypeScript, Go, Java, and Rust. Findings can be linked to specific EU AI Act articles, including checks associated with risk management, data governance, transparency, and technical documentation. The output is intended to help developers and legal or compliance teams identify missing work; it is not described as a substitute for professional legal advice.
The MCP interface accepts a project path for most project-oriented operations. scan_project reports scanned files, AI-related files, detected frameworks, and model references. check_compliance evaluates document content on a 0–100 scale and returns pass or fail information with article mappings. Its documented default risk category is limited.
generate_report combines scanning and compliance checking into an executive summary and a technical breakdown. suggest_risk_category instead takes a plain-text description of an AI system and compares it with prohibited, high-risk, limited-risk, and minimal-risk criteria described in the README. generate_compliance_roadmap orders remediation tasks by deadline and estimated effort, while generate_compliance_templates returns starter Markdown documents for required records.
The repository documents two setup paths. For the packaged CLI and MCP entry point, install the PyPI distribution:
The documented MCP executable is eu-ai-act-mcp, which can be registered with Claude Desktop, Claude Code, or Cursor. The repository also provides a source setup using a virtual environment, requirements.txt, and python3 server.py.
An HTTP mode is available for CI/CD or remote clients by installing Uvicorn and starting python3 server.py --http; the example listens on port 8089. The free tier is described as requiring no sign-up or API key. Pro and Certified plans require an API key and unlock additional functionality.
The documented MCP tools include:
scan_project for framework and model detection.check_compliance for content scoring and article mapping.generate_compliance_roadmap for deadline-aware remediation planning.generate_report for combined executive and technical output.suggest_risk_category for description-based classification.generate_compliance_templates for starter compliance documents.The README states that the free tier exposes two tools, while Pro exposes ten. The excerpt documents six tools and notes additional v2 features, including Annex IV package generation and compliance-report certification.
Free usage is limited to five scans per day. The feature table reserves full compliance checks, reports, roadmap generation, GDPR scanning, combined EU AI Act and GDPR analysis, and CI/CD integration for paid plans. The README references both August 2, 2026 and August 2, 2027 in different sections, so teams should verify the applicable deadline before relying on generated schedules.
Risk suggestions and automated document checks provide structured analysis, but the material does not establish that the output is a legal determination or complete audit evidence. Certified cryptographic proof is listed as a separate Trust Layer capability rather than a free MCP feature.
Always refer to the official documentation for the most accurate and up-to-date information.
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