中国 AI 合规与备案（条文级自查） MCP Server

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中国 AI 合规与备案（条文级自查） is listed as active in the registry but did not answer our last check. It exposes 8 tools. Last commit 21 Oct 2026.

生成式AI备案、AI生成内容标识、深度合成、算法备案：条文级问答 + 按条号取法规原文 + 应办清单（中文）

Uptime history 54 days of history · worst day 74%

54 days agonow

83.7%

Uptime 24h

77 of 92 checks

Tools

read from the server

1747 ms

Response time

average over 24h

Stars

last commit 21 Oct 2026

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 4 October 2026. No other catalogue keeps this.

4 Oct 2 tools appeared get_article, search_articles

4 Oct a tool changed version

What the code does

We read the source, 1 d ago · tools taken from the live server · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Builds a file path from a variable server.py:73

    with io.open(os.path.join(DATA, name), encoding="utf-8") as f:

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add ai-compliance --transport http https://savantcat.cn/mcp-compliance

Settings → Connectors → Add custom connector, then paste this address

https://savantcat.cn/mcp-compliance

~/.codex/config.toml

[mcp_servers.ai-compliance]
url = "https://savantcat.cn/mcp-compliance"

.cursor/mcp.json

{
  "mcpServers": {
    "ai-compliance": {
      "url": "https://savantcat.cn/mcp-compliance"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ai-compliance": {
      "type": "http",
      "url": "https://savantcat.cn/mcp-compliance"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

article

get_article

按条号取某部法规的条文**逐字原文**，并附内容指纹与官方原文链接。与 get_requirement 的分工：get_requirement 按「问题」取整条合规要求（含结论与落地动作）； get_article 按「条号」取条文原文，用于逐字核对、引用与溯源。 Args: law: 法规名或集群标识。可写全称（《生成式人工智能服务管理暂行办法》）、简称（标识办法 / 算法推荐规定）或 cluster （genai-interim / ai-content-label / deep-synthesis / algo-recommendation） article: 条号，支持「第十条」「10」「第10条」三种写法

articles

search_articles

在**某一部法规内部**按关键词检索条文，返回命中条号 + 条文摘录。用途：已经知道是哪部法规，要定位「哪一条讲了这件事」。 Args: law: 法规名或集群标识（同 get_article 的 law 参数） keywords: 检索词，如「训练数据合法来源」「标识元数据」「备案十日」 top_k: 返回条数，默认 5

compliance

search_compliance

按关键词检索中国 AI 合规条目，返回最相关的若干条（含结论与条文依据）。 Args: query: 检索词，如「AI 客服备案」「AI 生成内容标注」「训练数据合法来源」「大数据杀熟」 top_k: 返回条数，默认 5

filing

filing_route

判断一项 AI 服务要办哪些手续（备案/安全评估/标识），逐条给出法规依据。 Args: public_facing: 是否面向中国境内公众提供服务（仅内部使用请传 false） generates_content: 是否能生成文本/图片/音频/视频等内容 edits_face_or_voice: 是否提供人脸、人声等生物识别信息编辑功能（换脸、AI 配音、数字人） only_internal_use: 是否仅企业内部使用、不对外提供

regulation

regulation_info

获取收录法规清单（名称、发布/施行日期、条数、官方原文链接、核心要求）。

requirement

get_requirement

按 slug 取一条合规要求的完整内容（正文 + 依据条文 + 落地动作 + 常见追问）。 Args: slug: 条目标识，先用 list_topics 或 search_compliance 取得

self

self_check

按场景出合规自查清单：把命中条目的「落地动作」汇总成可勾选待办，并列出条文依据。 Args: scope: 场景或关键词，如「AI 客服」「营销文案标注」「小程序上架」「全量」；留空则返回全量自查清单

topics

list_topics

列出全部合规条目的标题清单。 Args: cluster: 可选，按集群过滤。可选值 genai-interim(生成式AI暂行办法) / ai-content-label(AI生成合成内容标识) / deep-synthesis(深度合成) / algo-recommendation(算法推荐与备案) / filing-practice(备案实操)

Endpoints

URL	Transport	State	Latency	Checked
https://savantcat.cn/mcp-compliance	streamable-http	answering	8000 ms	3 min ago

中国 AI 合规与备案（条文级自查） — questions

Answers built from our own checks of this server.

What can 中国 AI 合规与备案（条文级自查） do?

It exposes 8 tools, read directly from the server on our last check. Among them: filing_route, get_article, get_requirement, list_topics, regulation_info, search_articles and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is 中国 AI 合规与备案（条文级自查） working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 77 of 92 checks got a reply (83.7%), average response time 1747 ms. The bar chart above shows every period we have measured.

The registry lists 中国 AI 合规与备案（条文级自查） as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect 中国 AI 合规与备案（条文级自查）?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does 中国 AI 合规与备案（条文级自查） need an API key?

No. 中国 AI 合规与备案（条文级自查） completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.

Is 中国 AI 合规与备案（条文级自查） open source?

The code is open source: it is published under the MIT licence, written in Python and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at savantcat.cn, which runs on its operator's own terms.