About io.github.CSOAI-ORG/soc2-compliance-ai-mcp
io.github.CSOAI-ORG/soc2-compliance-ai-mcp is an MCP server in the Security category: mCP server for soc2 compliance ai. Features assess trust principles, control gap analysis, g...
Install
uvx soc2-compliance-ai-mcppip install soc2-compliance-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)
assess_trust_principlesAssess controls against all 5 TSC principles
Parameters not published.
audit_readinessOverall SOC 2 audit readiness score
Parameters not published.
control_gap_analysisIdentify gaps between existing controls and SOC 2
Parameters not published.
evidence_checklistGenerate evidence checklist by principle
Parameters not published.
generate_control_matrixGenerate a SOC 2 control matrix
Parameters not published.
remediation_planPrioritized remediation plan for gaps
Parameters not published.
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README
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
| Tool | TSC Reference | What it does |
|---|---|---|
assess_trust_principles |
CC1-CC9, A1, PI1, C1, P1 | Full assessment against all 5 Trust Service Criteria |
control_gap_analysis |
CC6, CC7, CC8 | Identify missing or weak controls for AI systems |
generate_control_matrix |
All TSC | Produce a control matrix mapping AI risks to SOC 2 criteria |
risk_assessment |
CC3, CC4 | AICPA-aligned risk assessment for AI/ML workloads |
crosswalk_to_iso27001 |
Annex A mapping | Map SOC 2 controls to ISO 27001:2022 Annex A |
readiness_checklist |
Type I / Type II | Pre-audit readiness checklist with remediation priorities |
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
| Tier | Price | What you get |
|---|---|---|
| Free | £0 | 10 calls/day — trust principles assessment + 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.