INDIVIDUAL MCP TOOL

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

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 get_requirement and invoke it with your own arguments.

{}

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.

CONNECT WITH APPROVAL

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.

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)
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
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）。