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T 47746—2026)

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
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中国 AI 客服国标 GB/T 47746—2026 合规问答库:必须自动转人工的场景、强制自查项、上线备案要求,答案标注条款依据。

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for AI 客服国标合规知识库 (GB/T 47746—2026), and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

savantcat-answers-mcp

把中国 AI 客服国标 GB/T 47746—2026 变成 Agent 能直接调用的工具。 An MCP server for China's GB/T 47746—2026 AI customer-service compliance standard.

MCP Protocol License Endpoint API Key Tools M8ven Score

为什么值得接

2026-09-01 已经实施了。 只要你在用 AI 客服,这份标准的合规问题就绕不过去 —— 而标准原文 40 多页、条款密度极高,「AI 客服怎么算达标」散落在 4~9 章里,人工翻效率极低。

这个 MCP 把条款级问答做成工具:答案全部标注条款出处,Agent 一问即得,不用装、不用 Key、公开只读。


这是什么

GB/T 47746—2026《顾客联络服务 人工与智能客户服务协同要求》是中国第一个聚焦「人工客服与智能客服协同机制」的国家标准,2026-05-25 发布、2026-09-01 实施。

这个 MCP Server 把该标准的合规问答做成了 Agent 可以直接调用的工具。任何支持 MCP 的客户端(Claude Desktop、Cursor、Cline、自研 Agent)连上就能问:

  • 「AI 客服怎么过国标?」
  • 「哪 5 类场景必须自动转人工?」
  • 「AI 客服的自查项到底有多少条?」
  • 「上线要走备案还是登记?」

所有答案都标注标准条款依据。

直接用(无需安装)

已部署在公网,公开只读、不需要 API Key:

Code
https://savantcat.cn/mcp

传输方式 streamable-http,无状态。接入文档:https://savantcat.cn/mcp/

可用工具

工具作用
list_questions列出全部合规问答(可按集群过滤)
search_answers按关键词检索问答,返回最相关的 N 条
get_answer取单条完整答案(正文 + 要点 + 条款依据 + 常见追问)
self_check_list取国标自查清单,企业对照自查
standard_info标准元信息(发布/实施日期、归口、篇幅、核心要求)

接入

Claude Desktop

编辑 claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "savantcat-answers": {
      "url": "https://savantcat.cn/mcp"
    }
  }
}

Cursor

编辑 .cursor/mcp.json:

config.json
{
  "mcpServers": {
    "savantcat-answers": {
      "url": "https://savantcat.cn/mcp"
    }
  }
}

腾讯 WorkBuddy / CodeBuddy

WorkBuddy 与 CodeBuddy 原生支持远程 HTTP MCP。打开侧边栏 插件 → MCP 服务器 → 配置 MCP,把下面这段粘进 mcp.json 即可(用户级 ~/.workbuddy/mcp.json,项目级 <项目目录>/.workbuddy/mcp.json):

config.json
{
  "mcpServers": {
    "savantcat-answers": {
      "type": "http",
      "url": "https://savantcat.cn/mcp"
    }
  }
}

保存后新建一次会话(或在 MCP 列表点「信任」)即生效。公网只读、不需要 Key,也不用装 Node.js 或任何本地进程。

Hermes Agent

yaml
mcp_servers:
  savantcat-answers:
    connect_timeout: 20
    enabled: true
    url: https://savantcat.cn/mcp

任意 MCP 客户端 / 自研 Agent

标准 MCP streamable-http 握手即可:

Terminal
curl -X POST https://savantcat.cn/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize",
       "params":{"protocolVersion":"2025-06-18","capabilities":{},
                 "clientInfo":{"name":"my-agent","version":"1.0"}}}'

自托管

想换成你自己的内容?把 data/ 里的 JSON 替换掉即可。

Terminal
pip install -r requirements.txt

# 本地 stdio 通道(给桌面客户端用)
python server.py

# 远程 HTTP 通道
python server.py --transport http --host 0.0.0.0 --port 8765 --stateless

# 自检:不走协议,直接打全部工具
python server.py --selftest

Docker

Terminal
docker build -t savantcat-answers-mcp .
docker run -p 8765:8765 savantcat-answers-mcp --transport http --host 0.0.0.0 --port 8765 --stateless

公网部署提示:MCP SDK 默认开启 DNS-rebinding 防护,只放行 localhost,用真实域名访问会得到 421 Invalid Host header。本项目通过 TransportSecuritySettings 把你的域名加入白名单(保留防护,而不是关掉),见 server.py 的 DEFAULT_ALLOWED_HOSTS——部署前记得改成你自己的域名。

数据

data/ 下三个文件:

Code
data/answers.json   12 条原子问答全文(含 facts / sources / faqs / body_md)
data/index.json     轻量索引(列表与检索用)
data/meta.json      集群元信息

每个原子问答都带 sources 字段,标注条款出处。

项目结构

Code
server.py             MCP Server 主体(双通道 stdio / streamable-http)
client_test.py        用官方 SDK 做的全链路测试
data/                 知识库数据
examples/             各客户端配置示例
server.json           MCP Registry 发布清单
Dockerfile

关于标准

项值
标准号GB/T 47746—2026
名称顾客联络服务 人工与智能客户服务协同要求
类型推荐性国家标准(GB/T)
发布2026-05-25
实施2026-09-01
发布机构国家市场监督管理总局 / 国家标准化管理委员会
归口SAC/TC 264
核验渠道国家标准全文公开系统 openstd.samr.gov.cn

核心要求:AI 客服不能只看「答得对不对」,还要看「答不了的时候会不会转人工」——有 5 类场景被明确要求自动转人工。

License

MIT — 见 LICENSE。


English

savantcat-answers-mcp exposes China's national standard GB/T 47746—2026 (Customer contact service — Requirements for the collaboration between human and intelligent customer service, issued 2026-05-25, effective 2026-09-01) as callable MCP tools.

Live endpoint (public, read-only, no API key): https://savantcat.cn/mcp · transport: streamable-http

Tools: list_questions · search_answers · get_answer · self_check_list · standard_info

Works with any MCP client. Self-host by replacing the JSON files under data/.

Read the full README →View source on GitHub →

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Frequently Asked Questions about T 47746—2026)

We don't have a confirmed install command for AI 客服国标合规知识库 (GB/T 47746—2026) yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/savantcat/savantcat-answers-mcp) for the current steps.

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Technical Specs & Signals

Category💻Developer Tools
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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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