Skip to main content

AI-powered iso 42001 ai MCP server for agents. Supports audit management system, assess ai risk, generate policy template. By MEOK AI Labs.

Project description

ISO 42001 AI MCP

ISO/IEC 42001:2023 AI Management System compliance — clauses 4–10 audit, Annex A controls, Annex B risk assessment, policy generation, certification readiness, and EU AI Act crosswalks.

PyPI npm License: MIT smithery

What This Does

ISO/IEC 42001:2023 is the first international standard for AI Management Systems (AIMS). It specifies requirements for establishing, implementing, maintaining, and continually improving an AI management system. The standard covers 7 management system clauses (4–10), Annex A controls for AI-specific governance (policies, lifecycle, data, transparency, third-party relationships), and Annex B guidance for AI risk assessment across 7 risk categories.

This server audits your AIMS against all clauses, evaluates Annex A controls, performs Annex B risk assessments, generates ISO 42001-compliant policy documents, checks certification readiness, and maps everything to EU AI Act articles — the key dual-compliance feature for organizations operating in the EU.

Quick Start

npx meok-setup --pack governance

Tools

Tool Description Parameters
audit_management_system Audits your AI management system against all 7 ISO 42001 clauses (4–10) and their subclauses. Evaluates organizational context, leadership, planning, support, operation, performance evaluation, and improvement. Returns per-clause conformity scores and certification readiness. Recognizes synergies with existing ISO 27001/9001/27701 certifications. organization_description, ai_systems_description, existing_certifications
assess_ai_risk Performs ISO 42001 Annex B risk assessment across 7 categories: bias & fairness, safety & reliability, transparency & explainability, privacy & data protection, security & resilience, accountability & governance, societal & environmental. Returns risk ratings, treatment priorities, and recommended Annex A controls. system_description, system_name, risk_criteria
generate_policy_template Generates ISO 42001-compliant AI policy documents. Three formats: "comprehensive" (full 12-section policy with governance structure, roles, risk management, lifecycle management), "brief" (executive statement), or "executive" (board-level policy). Addresses clause 5.2 and Annex A.2.2 requirements. organization_name, ai_scope, policy_type
check_annex_controls Evaluates your AI system against all ISO 42001 Annex A controls across 9 sections (A.2–A.10): AI policies, internal organization, resources, impact assessment, lifecycle management, data governance, transparency, AI use, and third-party relationships. Produces a gap analysis suitable for Statement of Applicability. system_description, system_name, implemented_controls
crosswalk_to_eu_ai_act Maps ISO 42001 clauses and Annex A controls to EU AI Act articles. Shows exactly where ISO 42001 conformity satisfies EU AI Act requirements. Covers ~20 clause-to-article mappings with alignment strength ratings (strong/moderate). Essential for dual-compliance programmes. iso_clauses, focus_area
create_certification_checklist Generates an ISO 42001 certification readiness checklist with pass/fail criteria for each requirement. Covers documentation, processes, and evidence needed for certification audit. organization_description, ai_systems_description
quick_scan One-line system description to instant ISO 42001 gap assessment. No parameters needed beyond the description. Fast triage tool for initial assessment. system_description
certification_timeline Returns ISO 42001 certification steps and typical timelines. No parameters needed. Useful for planning certification journey. (none)

Usage Examples

Audit an AI startup's management system

Use the audit_management_system tool with:
  organization_description: "AI startup developing LLM-based customer support chatbots for enterprise clients. 80 employees, no formal AI governance structure, no AI policy documented, ad-hoc risk assessments. Has ISO 27001 certification."
  ai_systems_description: "Three production LLM fine-tuned on client data. Uses RAG architecture. Processes customer PII. Deployed in EU and US."
  existing_certifications: "ISO 27001"

Expected output: Overall conformity ~25–35% (major_gaps). ISO 27001 synergy recognized for clauses 7.5, 8.2, 9.2. Critical gaps: clause 5 (no AI policy), clause 6 (no formal risk assessment), clause 8 (no impact assessment). Certification readiness: not_ready.

Assess AI risk for a hiring tool

Use the assess_ai_risk tool with:
  system_description: "Automated CV screening and candidate ranking system for graduate recruitment. Trained on 5 years of historical hiring data. Scores candidates on predicted job performance. Uses NLP to parse resumes and analyze video interviews. Affects employment decisions for 10,000+ applicants annually."
  system_name: "GraduateRecruit AI"

Expected output: Risks identified in bias & fairness (HIGH — hiring decisions, protected classes), transparency (HIGH — black-box scoring), privacy (MODERATE — biometric video analysis). Recommended controls: A.5.2 (impact assessment), A.6.3 (responsible design), A.6.4 (testing), A.8.2 (transparency). Statement of Applicability needed.

Generate a comprehensive AI policy

Use the generate_policy_template tool with:
  organization_name: "Acme AI Ltd"
  ai_scope: "Development and deployment of machine learning models for financial services, including credit scoring, fraud detection, and customer analytics"
  policy_type: "comprehensive"

Expected output: Full 12-section policy document (~2000 words) covering AI principles (safety, fairness, transparency, accountability, privacy, security, human oversight), governance structure with RACI matrix, risk management framework, lifecycle management process, competence requirements, and documentation obligations. Ready for customization and board approval.

Crosswalk ISO 42001 to EU AI Act

Use the crosswalk_to_eu_ai_act tool with:
  iso_clauses: "all"

Expected output: ~20 mappings showing where ISO 42001 clauses align with EU AI Act articles. Strong alignment: clause 6.1 → Art. 9 (risk management), clause 8.4 → Art. 27 (fundamental rights impact), clause 7.2 → Art. 4 (AI literacy). Key insight: ISO 42001 certification provides substantial EU AI Act coverage but Articles 5, 49, 50, 62 require additional measures.

Installation

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "iso-42001-ai": {
      "command": "npx",
      "args": ["-y", "meok-iso-42001-ai-mcp"]
    }
  }
}

Or install via Smithery:

npx smithery mcp add nicholastempleman/iso-42001-ai-mcp

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "iso-42001-ai": {
      "command": "npx",
      "args": ["-y", "meok-iso-42001-ai-mcp"]
    }
  }
}

VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "iso-42001-ai": {
      "command": "npx",
      "args": ["-y", "meok-iso-42001-ai-mcp"]
    }
  }
}

pip

pip install meok-iso-42001-ai-mcp

Related Servers

Server Purpose
iso-27001-ai Information security management (93 Annex A controls, ISO 27005 risk)
gdpr-compliance-ai GDPR DPIA, data subject rights, breach notification
eu-ai-act-compliance EU AI Act risk classification and Annex IV documentation
nist-rmf-ai NIST AI Risk Management Framework risk profiles
csoai-governance-crosswalk 12 compliance frameworks mapped through 52 articles

Pricing

  • Free tier: 10 calls/day per tool
  • Pro: £79/mo — unlimited calls + cryptographically signed compliance attestations

License

MIT © MEOK AI Labs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iso_42001_ai_mcp-1.0.7.tar.gz (41.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iso_42001_ai_mcp-1.0.7-py3-none-any.whl (33.0 kB view details)

Uploaded Python 3

File details

Details for the file iso_42001_ai_mcp-1.0.7.tar.gz.

File metadata

  • Download URL: iso_42001_ai_mcp-1.0.7.tar.gz
  • Upload date:
  • Size: 41.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for iso_42001_ai_mcp-1.0.7.tar.gz
Algorithm Hash digest
SHA256 2d15d99014c2b1e51e06de5abe6af1073db4948fcad7bd4895fc370196d82f20
MD5 ff9ae7f33c5b9fdfe3c846487b720bd0
BLAKE2b-256 0d87464f34f6bcf93dec957bf332421757cf7944832bb3fde969628b520e09d1

See more details on using hashes here.

File details

Details for the file iso_42001_ai_mcp-1.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for iso_42001_ai_mcp-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 44b6f70e6acb64e3b87f23ba3c5c08962ecb0f430e53570cdc2eb8f90c16aa6f
MD5 d8035598350e6cbf828a5aa4af7050d8
BLAKE2b-256 a48cf53ccdbccd605e1b18a95a8e10fd29fac2709d2681409af3802966e5d554

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page