Which integrations are available for this server?

Provides tools for looking up AI controls from 28 global regulations, retrieving anti-patterns, crosswalking between frameworks, walking through playbooks, classifying use cases, and listing regulations.

mcp-regulated-ai-compliance

A Model Context Protocol server exposing the regulated-industry AI compliance knowledge from hellouchit.com as tools, resources, and prompts callable from any MCP-compatible AI client — Claude Desktop, Cursor, Zed, Windsurf, OpenAI ChatGPT, Continue, Cline, and ~40 other clients.
Free + open-source (Apache 2.0, dataset CC BY 4.0). Built by Uchit Vyas — FDE for Technology Transformation & AI at Accenture ANZ.

Why this exists

The OpenAI GPT Store hosts the EU AI Act and AU AI Safety Standard coaches as ChatGPT-only assets. The Claude Project equivalents are private to each user's Claude Pro account (no public sharing). Neither reaches the practitioners who work primarily inside Cursor, Zed, Continue, Cline, or the Claude API directly.

An MCP server is the only Claude-side asset that is genuinely shareable + multi-client. It surfaces the same dataset, anti-patterns, decision trees, and classification logic — but as tools any AI agent in any compatible client can call. One published server → 40+ client surfaces → the practitioner who never opens ChatGPT or claude.ai still ends up citing your work.

What's in this folder

mcp-regulated-ai-compliance/
├── README.md                          ← you are here
├── scope/                             ← the design docs (read FIRST)
│   ├── 00-product-brief.md            What this is + who it's for
│   ├── 01-architecture.md             System design + transport choices
│   ├── 02-tools-spec.md               The 10 tools the server exposes
│   ├── 03-resources-spec.md           The resources + prompts
│   ├── 04-distribution-strategy.md    Where to list + how to get installs
│   └── 05-build-roadmap.md            v0.1 → v1.0 in 4 phases
├── src/
│   ├── index.ts                       ← MCP server entry point (working stub)
│   ├── tools/                         ← one file per tool
│   │   └── lookup-control.ts          ← FULLY IMPLEMENTED as reference
│   ├── resources/                     ← one file per resource type
│   ├── prompts/                       ← pre-built prompt templates
│   ├── data/                          ← embedded knowledge (dataset, anti-patterns, playbooks)
│   │   ├── dataset.json               ← 56 controls × 28 regulations × 261 tools
│   │   ├── dataset.csv                ← same data, CSV format
│   │   ├── anti-patterns.md           ← 15 named failure modes
│   │   └── playbooks/                 ← 90-day playbooks
│   └── lib/
├── docs/
│   └── install/                       ← per-client install guides
├── examples/                          ← sample conversations / use-cases
├── tests/
├── package.json                       ← npm config (working)
├── tsconfig.json                      ← TypeScript config
├── LICENSE                            ← Apache 2.0 (code) + CC BY 4.0 (dataset)
├── .gitignore
└── .github/workflows/                 ← CI: build + publish to npm

Build status

Phase	Status
Phase 0 — Scope + skeleton	✅ done
Phase 1 — Working server + reference tool	✅ done
Phase 2 — 6 core tools	✅ done
Phase 3 — 4 resource providers (~40 URIs) + 5 prompts	✅ done
	⏳ ready (run `npm publish --access public` after creating npm org)

v0.1.0 ships with:

6 tools — lookup_control · get_anti_pattern · crosswalk · walk_playbook · classify_use_case · list_regulations
4 resource providers — full dataset (+ by-regulation + by-category), 15 anti-patterns (bundled + per-slug), 4 playbooks, the 20-entry crosswalk matrix
5 prompts — eu-ai-act-classify · au-ai-safety-walkthrough · crosswalk-frameworks · playbook-week · anti-pattern-diagnostic
Embedded knowledge — 56 controls × 28 regulations × 261 tools, 15 named anti-patterns, EU AI Act 12-week playbook, 20 cross-walks
CI + tests — GitHub Actions for npm test on every PR + automated npm publish --provenance on version tag

See scope/05-build-roadmap.md for the v0.2+ roadmap.

Quick install (once published — currently in development)

For Claude Desktop:

# In your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json):
{
  "mcpServers": {
    "regulated-ai-compliance": {
      "command": "npx",
      "args": ["-y", "@hellouchit/mcp-regulated-ai-compliance"]
    }
  }
}

Then restart Claude Desktop → you'll see new tools available: lookup_control, classify_use_case, get_anti_pattern, etc.

Local development

npm install
npm run build
npm run dev          # runs server in dev mode (stdio transport)
npm test             # runs the test suite

See scope/01-architecture.md for the dev-loop details.

License

Code: Apache 2.0. Free for individual + commercial use. Patent grant included. Dataset (regulations × controls × tooling, anti-patterns, playbooks, crosswalks): CC BY 4.0 — attribution to hellouchit.com required.

If you ship a commercial product on top of this, please consider sponsoring on GitHub.

Looking for a hosted / managed version?

For organisations needing a multi-tenant hosted instance with:

SSO + audit log + admin console
White-labelled dataset extensions (your own controls + crosswalks added alongside the canonical ones)
Customer-specific playbook variants
SLA + dedicated support

→ The managed/SaaS edition is on the roadmap. Sign up at hellouchit.com/letters to be notified when it ships, or email contact@hellouchit.com to be early-access.