About io.github.CSOAI-ORG/iso-27001-ai-mcp
io.github.CSOAI-ORG/iso-27001-ai-mcp is an MCP server in the Communication category: aI-powered iso 27001 ai MCP server for agents. Supports audit isms, risk assessment, gap ana...
Install
uvx iso-27001-ai-mcppip install iso-27001-ai-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (6)
audit_ismsAudits your ISMS against all 93 Annex A controls. Returns per-theme compliance status (PASS/PARTIAL/FAIL), gap identification, critical gap flagging for high-priority controls (A.5.1, A.5.15, A.8.5, A.8.24, etc.), and certification readiness assessment.
Parameters not published.
crosswalk_to_aiMaps ISO 27001 controls to ISO 42001 AI-specific requirements. Shows how existing ISMS controls extend to AI governance (model security, training data protection, AI incident management) and identifies where AI-specific controls are needed.
Parameters not published.
gap_analysisCompares your current controls to ISO 27001 requirements. Supports three targets: "full" (all 93 controls), "core" (critical subset), or "ai-focused" (AI-relevant controls only). Returns prioritized remediation roadmap in 3 phases: Critical (0–30 days), Standard (30–90 days), Remaining (90–180 days).
Parameters not published.
generate_soaGenerates a Statement of Applicability per clause 6.1.3(d). Documents all 93 controls as Implemented, Excluded (with justification), or Not Yet Addressed. Required artifact for ISO 27001 certification audits.
Parameters not published.
incident_classificationClassifies security incidents per controls A.5.24–A.5.28. Determines severity (LOW→CRITICAL), priority (P1–P3), notification requirements, and response procedures. Includes AI-specific incident categories: adversarial attacks, data poisoning, model theft, prompt injection, bias incidents.
Parameters not published.
risk_assessmentPerforms ISO 27005 information security risk assessment. Evaluates 10 AI-relevant threat categories (adversarial attacks, model theft, training data breach, supply chain compromise, insider threat, etc.), calculates likelihood × impact risk scores, and produces a treatment plan with specific Annex A control recommendations.
Parameters not published.
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README
ISO 27001 AI MCP
ISMS audit, Annex A gap analysis, and Statement of Applicability generation for AI/ML systems against ISO 27001:2022.
Install · Tools · Pricing · Attestation API
Why This Exists
ISO 27001:2022 is the global standard for information security management, and the 2022 revision added 11 new controls (including A.5.23 cloud services, A.8.11 data masking, A.8.12 data leakage prevention) that directly affect AI deployments. Organisations running AI systems need to map model training pipelines, inference endpoints, and data flows into their ISMS scope.
Most consultancies charge 15-30K per ISO 27001 gap analysis. This MCP automates the ISMS audit against all 93 Annex A controls, generates Statements of Applicability, performs risk assessments per ISO 27005, crosswalks to AI-specific frameworks, and classifies security incidents under ISO 27035.
Install
pip install iso-27001-ai-mcp
Tools
| Tool | ISO Reference | What it does |
|---|---|---|
audit_isms |
Clauses 4-10 | Full ISMS audit against ISO 27001:2022 management clauses |
risk_assessment |
ISO 27005 | Information security risk assessment for AI assets |
gap_analysis |
Annex A (93 controls) | Control-by-control gap analysis against 2022 Annex A |
crosswalk_to_ai |
Annex A + AI frameworks | Map ISO 27001 controls to ISO 42001 / EU AI Act requirements |
generate_soa |
Clause 6.1.3 | Generate Statement of Applicability with justifications |
incident_classification |
ISO 27035 | Classify and triage AI security incidents |
Example
Prompt: "Run an ISO 27001 gap analysis on our ML training pipeline.
We store training data in S3, run training on GPU clusters in eu-west-1,
and deploy models via a REST API with no authentication."
Result: Gap analysis across Annex A with critical findings on unauthenticated
API endpoints, missing data deletion policies, absent cloud service agreements,
and no DLP controls on model outputs. Statement of Applicability generated
with all 93 controls assessed.
Pricing
| Tier | Price | What you get |
|---|---|---|
| Free | £0 | 10 calls/day — ISMS audit + gap analysis |
| Pro | £199/mo | Unlimited + HMAC-signed attestations + verify URLs |
| Enterprise | £1,499/mo | Multi-tenant + co-branded reports + webhooks |
Attestation API
Every Pro/Enterprise audit produces a cryptographically signed certificate:
POST https://meok-attestation-api.vercel.app/sign
GET https://meok-attestation-api.vercel.app/verify/{cert_id}
Zero-dep verifier: pip install meok-attestation-verify
Links
- Website: meok.ai
- All MCP servers: meok.ai/labs/mcp/servers
- Enterprise support: nicholas@csoai.org
License
MIT
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.