MCP.Market

Regulated AI Compliance MCP server

by uchit·io.github.uchit/mcp-regulated-ai-compliance·v0.2.3·1 stars

Regulated-industry AI compliance: EU AI Act, APRA, NIST AI RMF, ISO 42001, AU AI Safety.

B82/100grade B
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B82/100

full report

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1 stars59 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Regulated AI Compliance tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan39 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 113 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Regulated AI Compliance compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 63% of 48,255 servers
GitHub stars
1
more than 65% of 28,688 servers
Downloads a week
59
more than 48% of 12,191 servers with a package

Install Regulated AI Compliance in Claude Code, Cursor or VS Code

Runs npx -y @hellouchit/mcp-regulated-ai-compliance on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-regulated-ai-compliance -- npx -y @hellouchit/mcp-regulated-ai-compliance
Add to Cursor

What the publisher says

From the Regulated AI Compliance repository's README, as published. We do not edit it. Read it on GitHub

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.

Disclaimer: This is a personal, open-source, non-commercial project. Views are my own. It is not affiliated with, endorsed by, or representative of my employer.

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           

Status — v0.2.1 shipped 2026-05-29

v0.2.1 = data-source abstraction so the same codebase runs on Node (stdio, node:http) AND on Cloudflare Workers / Deno Deploy / Vercel Edge. See worker/ for the Cloudflare scaffold.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Regulated AI Compliance: common questions

Is Regulated AI Compliance MCP server safe?
Mostly: it is graded B (82/100). Read the Regulated AI Compliance safety report
How do I install Regulated AI Compliance?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Regulated AI Compliance need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Regulated AI Compliance maintained?
The last commit was 151 days ago (2026-06-06). The latest release is v0.2.3.
How does Regulated AI Compliance compare with other MCP servers?
safety score 82/100 (higher than 63% of 48,255 servers); github stars 1 (more than 65% of 28,688 servers); downloads a week 59 (more than 48% of 12,191 servers with a package). Full comparison.