← savantcat.cn

INDIVIDUAL MCP TOOL

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)

savantcat.cnnone authenticationAvailability not checked

LIVE ENDPOINT

https://savantcat.cn/mcp-compliance

No auth detected

Connect to this endpoint to inspect the live schema for list_topics and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

savantcat.cn

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

.mcp.json

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

Settings → Connectors → Add custom connector

Name: savantcat-ai-compliance
Remote MCP URL: https://savantcat.cn/mcp-compliance

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "savantcat-ai-compliance": {
      "type": "http",
      "url": "https://savantcat.cn/mcp-compliance"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "savantcat-ai-compliance",
  "transport": "streamable-http",
  "url": "https://savantcat.cn/mcp-compliance"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • 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
  • 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_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
  • 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_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)。