SOC 2 Compliance MCP

Assess AI/ML systems against all 5 Trust Service Criteria with gap analysis, control matrices, and HMAC-signed attestations.

Install · Tools · Pricing · Attestation API

Why This Exists

SOC 2 Type II reports are the baseline trust signal for any SaaS or AI vendor selling into enterprise. But AI systems introduce control gaps that traditional SOC 2 assessments miss: model provenance, training data governance, drift monitoring, and explainability obligations.

Most compliance teams either bolt AI onto existing SOC 2 control matrices by hand or pay $40K+ for a consultancy engagement. This MCP maps AI/ML-specific risks to the 5 Trust Service Criteria (Security, Availability, Processing Integrity, Confidentiality, Privacy), generates control matrices aligned to AICPA 2023 guidance, and crosswalks to ISO 27001 for organisations holding both certifications.

Install

pip install soc2-compliance-ai-mcp

Tools

Example

Prompt: "Assess our customer-facing LLM chatbot against SOC 2 Trust Service
Criteria. It processes financial data, stores conversation logs for 90 days,
and uses a third-party model API."

Result: Assessment across all 5 TSC with findings on third-party model API
vendor risk, missing drift monitoring, undocumented retention policy.
Each finding includes remediation steps and control references.

Pricing

Subscribe to Pro · Enterprise

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