AI Customer Service MCP — query our answer base

What it is

A public read-only service built on the Model Context Protocol. Any MCP client — Claude Desktop, Cursor, Cline, or your own agent — can query our answer base without writing a single scraper.

It solves a concrete problem: instead of crawling pages, cleaning, chunking and indexing the material yourself, one connection gives your agent structured answers with their source basis and a compliance self-check list.

Other server: GEO MCP (website AI-citability audit) · All MCP endpoints

Endpoint

https://savantcat.cn/mcp

Transport: Streamable HTTP (stateless) · Protocol version: 2025-11-25 · Server name: savantcat-answers
Public read-only · No API key · CORS open · Rate limit 60 req/min

Tools (5)

Tool	What it does
`list_questions`	List all atomic Q&A entries, filterable by cluster (standard compliance / knowledge base)
`search_answers`	Keyword search across answers; returns matched questions and summaries
`get_answer`	Fetch one full answer: structured body, source basis, related questions
`self_check_list`	Return the AI customer-service compliance checklist (including deal-breakers)
`standard_info`	Return GB/T 47746—2026 metadata (issue/effective dates, committee, key clauses)

How to connect

1. Generic MCP client (JSON config)

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

2. Plain HTTP call (any language)

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":"tools/list","params":{}}'

3. Ask a real question

curl -X POST https://savantcat.cn/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc":"2.0","id":2,"method":"tools/call",
    "params":{"name":"search_answers",
              "arguments":{"query":"which scenarios require human handover","top_k":3}}
  }'

Listed in the official MCP Registry as cn.savantcat/answers. Note: the answer content itself is in Chinese.

Why public

Knowledge is only worth something when it is used. The number of times you get cited is the scale of trust.

If what you need is your own product docs, policies and service rules turned into a knowledge base your agents can call — that is our main business.

Want this for your own company?

Enterprise knowledge base · AI customer-service compliance

See the knowledge base offering