Miramo
French rental law for tenants and landlords: rent caps, rental zones and unfurnished lease drafts.
作者提供的说明(英文原文)
What one compliance standard already evidences of another, with the reasoning and the rejections.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://api.theartofservice.com/mcp在终端中运行这条命令
claude mcp add --transport http compliance-intelligence https://api.theartofservice.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"compliance-intelligence": {
"url": "https://api.theartofservice.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"compliance-intelligence": {
"type": "http",
"url": "https://api.theartofservice.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://api.theartofservice.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
发布者(theartofservice.com)不是仓库所有者(GJB65);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.1.0)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Miramo, Private Law Wiki, Gerro: госзакупки для ИИ / Russian public procurement
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
French rental law for tenants and landlords: rent caps, rental zones and unfurnished lease drafts.
Sourced answers, search and bank-case assessment for wiki.private.law by the Mothership runtime.
Госзакупки РФ в ИИ-чате: поиск, обеспечения, документы. Russian public procurement for AI chats.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
A minimal, working example of an AI agent skill that uses the TheArtOfService Compliance MCP as its source-grounded knowledge layer.
The hosted server is listed on Smithery and in the official MCP registry as com.theartofservice/compliance-intelligence. Endpoint: https://api.theartofservice.com/mcp (streamable HTTP, anonymous access).
Two working examples: one for compliance research, one for the course catalogue. This is a reference implementation. Clone it, swap the framework name to whatever your agent needs, plug it into Claude / GPT / Copilot / your own agent runtime. Apache 2.0 licensed, no strings attached.
Given a compliance framework name (default: NIST SP 800-161), this script:
https://api.theartofservice.comThe output is suitable for piping into an LLM as context, or directly handing to an auditor or risk team.
The compliance corpus behind the API is source-grounded against the published standard text and human edited, not LLM-generated. That makes it the authoritative knowledge layer for any agent that needs to reason about compliance controls.
Your agent provides the tribal knowledge layer (the organization's specific context, the tone, the workflow). The platform provides the official knowledge layer. The split is what makes the resulting brief defensible.
git clone https://github.com/GJB65/compliance-mcp-skill-example.git
cd compliance-mcp-skill-example pip install -r requirements.txt cp .env.example .env
python run.py "NIST SP 800-161"
The script will print a Markdown brief to stdout. Redirect it to a file or pipe it into your downstream agent.
python run.py "ISO 27001:2022" > iso_27001_brief.md
run.py answers *what does this framework require*. find_courses.py answers the other half: *what can the user actually do about it*.
python find_courses.py "soc 2 evidence collection"
python find_courses.py "first 90 days as CISO" --framework "ISO 27001" python find_courses.py --overlap "SOC 2,ISO 27001" python find_courses.py --frameworks
No API key needed. The four catalogue tools are free and unmetered, because they exist to help a buyer find the right course rather than to meter access to data.
The interesting one is --overlap. A plain product listing cannot answer "we are running SOC 2 and ISO 27001 at the same time, what covers both", because that is a join, not a search. An organisation in that position does not want one course per standard, it wants the overlap:
# Courses covering SOC 2,ISO 27001 together
When nothing covers the whole combination, it says so and reports what exists per standard rather than returning an empty list.
Link buyers to the buy_url field. It carries attribution, which is how the catalogue knows an agent produced the sale.
tas_) is in your account settings.The SKILL.md file in this repo is structured as a Claude skill definition. Drop the repo into your Claude Code or Claude Desktop skills folder and Claude can invoke run.py directly with a framework name.
This example hits the public REST agent API. The same data is available via the MCP endpoint at https://api.theartofservice.com/mcp if you prefer Model Context Protocol over REST.
| Endpoint | Used for |
|---|---|
GET /api/agent/frameworks/{name} | Framework metadata |
GET /api/agent/frameworks/{name}/controls | All controls in the framework |
GET /api/agent/controls/{code} | Full control detail including evidence_requirements |
GET /api/agent/courses | Search the course catalogue (free, no key) |
GET /api/agent/courses-for-frameworks | Courses covering two or more standards together |
GET /api/agent/courses/{product_id} | Full detail for one course |
GET /api/agent/course-frameworks | Standards covered, with course counts |
Full tool catalog: compliance.theartofservice.com/developers
Apache 2.0. See LICENSE.
Issues and PRs welcome. If you build a derivative skill (vendor risk, SOC 2 audit prep, framework-specific advisor, etc.) and want it linked from the example registry, open a PR with a one-line description and a repo URL.