MCP Regulated AI Compliance
Regulated-industry AI compliance: EU AI Act, APRA, NIST AI RMF, ISO 42001, AU AI Safety.
Connector by uchit · GitHub account verified by the MCP Registry
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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/uchit-mcp-regulated-ai-compliance
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What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 5 read · 0 write · 0 delete · 1 not yet classified
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Tools by what they do 6
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Read 5 · Look things up without changing anything.
classify_use_caseget_anti_patternlist_regulationslookup_controlwalk_playbook
Not yet classified 1 · We could not tell from the name and description.
crosswalk
Tools (6)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
classify_use_caseClassify an AI use-case under EU AI Act (Annex III + Article 5) and optionally AU AI Safety Standard. Returns: risk tier, matching Annex III categories with sub-points, applicable Articles 9-15 obligations, enforcement date, and a recommended next-step sequence (which other tools to call). Use for: initial classification of a new use-case, dual-jurisdiction analysis (EU + AU), or generating a structured input for the human-counsel-review handoff. Not a substitute for legal counsel — borderline cases (especially employment, essential services, credit) need qualified review.
crosswalkMap a regulatory requirement to its equivalents across other frameworks. Covers: EU AI Act ↔ NIST AI RMF ↔ ISO/IEC 42001 ↔ AU AI Safety Standard ↔ APRA CPS 230/234 ↔ OECD AI Principles ↔ Council of Europe Framework Convention on AI ↔ GDPR ↔ SLSA ↔ NIST SSDF ↔ OWASP LLM Top 10. Each mapping has overlap classification (FULL · PARTIAL · NEW) plus practitioner notes on why. Use whenever a user has work in one framework and needs to know what carries over to another. Highest-leverage when multinationals operating across jurisdictions need to demonstrate 'work done once counts everywhere'. Source…
get_anti_patternLook up anti-patterns from the catalogue at hellouchit.com/anti-patterns/ — named failure modes that recur across regulated-industry tech delivery. Each match returns: where the pattern appears, why it's bad, what to do instead, and a diagnostic 'tell' that surfaces it. Examples: 'Inline Prompt Pattern', 'AI CoE Trap', 'Vault Theatre', 'SBOM Shelfware', 'PDF Principles', 'Eval Set That Never Runs'. Use when reviewing an architecture description or codebase to flag known failure shapes; or when you need to name a problem precisely for a stakeholder conversation.
list_regulationsReturn the regulations covered by the dataset. Useful as a discovery step — call this first to find available regulation slugs before calling lookup_control or crosswalk. Each entry includes: slug (for use with other tools), full label, jurisdiction (AU/EU/US/INTL), and the count of control rows that reference it.
lookup_controlLook up which security/compliance controls apply for a given regulation, control category, enforcement surface, and/or sector. Each result includes: the named control, the regulations that mandate it, the tooling options that implement it (categorised as managed/oss/commercial/standard), the evidence shape an auditor would expect, sector relevance, and a practitioner note. Sourced from the curated dataset at hellouchit.com/dataset/ (CC BY 4.0). Covers EU AI Act, NIST AI RMF, ISO/IEC 42001, APRA CPS 234/230, AU AI Safety Standard, ASD Essential Eight, IRAP, SLSA, NIST SSDF, OWASP LLM Top 10, …
walk_playbookReturn a structured 90-day playbook (or specific week/gate from one). Playbooks are sequenced from week 1 to week 12, organised into 3 phases, with 12 named gates and anti-pattern callouts. Available playbooks: - eu-ai-act-12-weeks: From 'Piloting' to EU AI Act Articles 9-15 ready by 2 Aug 2026 - cisa-attestation-90-days: From 'some SSDF practices' to defensible CISA Secure Software Attestation - cloud-cost-aware-to-controlled: From 5-12% YoY savings to 20-35% (FinOps Aware → Controlled) - vault-theatre-to-workload-identity: From static-creds-in-vault to OIDC workload identity Use to walk a us…
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- Weekly downloads
- 24
- Last commit
- Jun 6, 2026 (4 months ago)
- Last release
- Jun 6, 2026 (4 months ago)
- Last package publish
- Jun 6, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.uchit/mcp-regulated-ai-compliance- Version
- 0.2.3
- Auth
- No auth
- Packages
- npm @hellouchit/mcp-regulated-ai-compliance
- License
- Apache-2.0
- Website
- hellouchit.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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MCP Regulated AI Compliance. Agent Mart. https://agentmart.dev/connectors/uchit-mcp-regulated-ai-compliance (last updated 2026-10-24)