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uchit/mcp-regulated-ai-compliance

uchit/mcp-regulated-ai-compliance

ed-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.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp-regulated-ai-compliance -- npx -y mcp-regulated-ai-compliance
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · uchit/mcp-regulated-ai-compliance · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 uchit/mcp-regulated-ai-compliance;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

mcp-regulated-ai-compliance

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> 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
---
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.
| 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 + 5 prompts** | ✅ done |
| **Phase 4 — npm publish + directory submissions** | ✅ done |
| **Phase 5 — HTTP transport + 4 playbooks + parser** | ✅ **done (v0.2.0)** |
v0.2.0 ships with
- **Streamable HTTP transport** — npx mcp-regulated-ai-compliance-http boots a Node HTTP server on port 3000 (configurable) at /mcp. Unlocks Smithery, ChatGPT MCP directory, browser-based clients, and any platform that prefers HTTP over stdio. Stateless by default; set MCP_STATEFUL=true for per-session UUIDs.
- **All 4 playbooks fully structured** — markdown parser extracts 12-week / 12-gate / phase / anti-pattern / source-URL data:
- eu-ai-act-12-weeks — Piloting → Articles 9-15 ready by 2 Aug 2026
- cisa-attestation-90-days — Federal contractor SSDF + Common Form 3201-NEW
- cloud-cost-aware-to-controlled — FinOps Aware → Controlled (AWS / Azure / GCP)
- vault-theatre-to-workload-identity — Long-lived creds → OIDC federation
- **6 tools** — lookup_control · get_anti_pattern · crosswalk · walk_playbook · classify_use_case · list_regulations
- **4 resource providers (56 URIs)** — 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
来源
awesome · https://github.com/uchit/mcp-regulated-ai-compliance
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