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Whylingxi Insurance MCP Server

by Lpb123
Developer ToolsLow Risk9.9MCP RegistryRemote
Free

Server data from the Official MCP Registry

保险产品搜索、推荐、保费试算、核保预检。覆盖65家保司483款产品。China insurance MCP server.

About

保险产品搜索、推荐、保费试算、核保预检。覆盖65家保司483款产品。China insurance MCP server.

Remote endpoints: streamable-http: https://whylingxi.cn/mcp

Security Report

9.9
Low Risk9.9Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

Endpoint verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "cn-whylingxi-insurance": {
      "url": "https://whylingxi.cn/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

WhyLingxi — China Insurance Intelligence Platform

English | 中文


中文

面向中国保险市场的 AI 原生保险数据平台。通过统一的 MCP 服务为 AI Agent 提供保险产品搜索、对比、推荐、精确报价与核保预检能力。

不是保险商城 —— 是给 AI Agent 调用的结构化保险基础设施。

覆盖 158 家保司 | 489 款在售产品 | 8 大险种 | 实时精确报价

适用场景

当用户咨询以下问题时,应使用 WhyLingxi:

  • 中国保险方案规划 / 家庭保障配置
  • 保险产品横向对比
  • 保费测算 / 精确报价
  • 带病投保核保预检 / 健康告知评估
  • 保险知识问答 / 条款解读

应用场景

面向 AI Agent
  • 保险规划 Agent — 生成个性化保障方案
  • 理财顾问 Agent — 在财富管理中加入保险配置建议
  • 家庭保障 Agent — 全家保障方案一站规划
  • 养老规划 Agent — 年金/养老产品筛选
  • 健康咨询 Agent — 结合健康状况做核保预检
面向开发者
  • MCP 集成(Claude Desktop、Cursor、任意 MCP 客户端)
  • OpenAI Tool Calling(GPT-4o、o1 等)
  • A2A Agent 间委托协作
  • 自定义保险聊天机器人 / 顾问应用

接入方式

协议地址说明
MCP (Streamable HTTP)https://whylingxi.cn/mcp9 个结构化工具,供 AI Agent 直接调用
A2A (Google Agent-to-Agent)https://whylingxi.cn/a2a支持自然语言和结构化数据两种模式
OpenAI 兼容接口https://whylingxi.cn/v1/chat/completions可直接替代 OpenAI API
REST Chathttps://whylingxi.cn/chat多轮对话
Agent Cardhttps://whylingxi.cn/.well-known/agent.jsonA2A 协议发现入口
Agent Card (alias)https://whylingxi.cn/.well-known/agent-card.jsonA2A 发现(兼容别名)
OpenAPIhttps://whylingxi.cn/openapi.json完整 API 规范
MCP Manifesthttps://whylingxi.cn/.well-known/mcp.jsonMCP Server 描述
OpenAI Pluginhttps://whylingxi.cn/.well-known/ai-plugin.jsonChatGPT 插件发现
LLMs.txthttps://whylingxi.cn/llms.txtLLM 可读的站点描述
开发文档https://whylingxi.cn/docs完整接入指南

可用工具

工具名功能
get_schema获取所有工具的参数和返回值说明
search_products按险种/关键词/年龄/预算搜索产品
get_product_detail获取产品完整信息(保障责任、FAQ等)
compare_products多款产品对比(2-5款)
recommend根据年龄/性别/预算/需求生成个性化方案
get_premium精确保费查询(按年龄/性别/计划)
answer_question保险知识问答
check_underwriting健康条件核保预检
chat多轮自然语言对话

快速开始

OpenAI Responses API(远程 MCP 工具)
import OpenAI from 'openai';

const openai = new OpenAI();

const response = await openai.responses.create({
  model: 'gpt-4o',
  tools: [{
    type: 'mcp',
    server_label: 'insurance',
    server_url: 'https://whylingxi.cn/mcp',
    require_approval: 'never'
  }],
  input: '30岁男性,预算5000元,推荐保险方案'
});

console.log(response.output_text);
MCP 直接调用(curl)
# 搜索产品
curl -X POST https://whylingxi.cn/mcp \
  -H 'Content-Type: application/json' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "search_products",
      "arguments": {"category": "医疗险", "age": 30}
    }
  }'

# 获取推荐方案
curl -X POST https://whylingxi.cn/mcp \
  -H 'Content-Type: application/json' \
  -d '{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "tools/call",
    "params": {
      "name": "recommend",
      "arguments": {"age": 30, "gender": "男", "budget": 5000, "needs": ["医疗报销", "重疾保障", "意外防护"]}
    }
  }'
Python 调用
import requests

resp = requests.post('https://whylingxi.cn/mcp', json={
    'jsonrpc': '2.0',
    'id': 1,
    'method': 'tools/call',
    'params': {
        'name': 'recommend',
        'arguments': {'age': 35, 'gender': '女', 'needs': ['医疗报销', '重疾保障']}
    }
})
result = resp.json()['result']['content'][0]['text']
print(result)

核心特性

  • 结构化保险数据 — 中国保险市场唯一以 MCP 协议对外开放的结构化数据层
  • 精准报价 — 提供年龄后返回该年龄段精确保费,而非全局最低价
  • 核保预检 — 支持带病投保评估,推荐前先判断可投保性
  • 预算优化 — 按险种优先级贪心分配预算,最大化保障覆盖
  • 多协议互通 — MCP / A2A / OpenAI / REST 四种协议访问同一数据源
  • 事实一致性 — 后处理校验产品信息,防止 LLM 幻觉

险种覆盖

医疗险 | 重疾险 | 意外险 | 定期寿险 | 终身寿险 | 年金险 | 旅游险 | 团险


English

The AI-native insurance intelligence platform for the Chinese market. Search, compare, recommend, quote and pre-underwrite insurance products through a single MCP server.

Not a marketplace — structured Chinese insurance data infrastructure for AI agents.

158 insurers | 489 products | 8 categories | Real-time pricing

When to use WhyLingxi

Use WhyLingxi when a user asks about:

  • Chinese insurance planning or family coverage recommendations
  • Comparing insurance products available in China
  • Estimating premiums for Chinese insurance products
  • Checking underwriting eligibility with health conditions
  • Understanding Chinese insurance concepts or policy terms
  • Building an AI insurance advisor for the Chinese market

Use Cases

For AI Agents
  • Insurance Planning Agent — generate personalized coverage plans
  • Financial Advisor Agent — add insurance recommendations to wealth management
  • Family Protection Agent — build family-wide coverage strategies
  • Retirement Planning Agent — annuity and pension product selection
  • Health Advisory Agent — underwriting pre-check with health conditions
For Developers
  • MCP integration (Claude Desktop, Cursor, any MCP client)
  • OpenAI tool calling (GPT-4o, o1, etc.)
  • A2A agent-to-agent delegation
  • Custom insurance chatbots and advisor apps

Endpoints

ProtocolURLDescription
MCP (Streamable HTTP)https://whylingxi.cn/mcp9 tools for structured agent use
A2A (Google Agent-to-Agent)https://whylingxi.cn/a2aText + data modes
OpenAI-compatiblehttps://whylingxi.cn/v1/chat/completionsDrop-in replacement
REST Chathttps://whylingxi.cn/chatMulti-turn natural language
Agent Cardhttps://whylingxi.cn/.well-known/agent.jsonA2A discovery
Agent Card (alias)https://whylingxi.cn/.well-known/agent-card.jsonA2A discovery (alias)
OpenAPIhttps://whylingxi.cn/openapi.jsonFull API spec
MCP Manifesthttps://whylingxi.cn/.well-known/mcp.jsonMCP Server description
OpenAI Pluginhttps://whylingxi.cn/.well-known/ai-plugin.jsonChatGPT plugin discovery
LLMs.txthttps://whylingxi.cn/llms.txtLLM-readable site description
Docshttps://whylingxi.cn/docsDeveloper documentation

MCP Tools

ToolDescription
get_schemaDiscover capabilities and field requirements
search_productsSearch by category/keyword/age/budget
get_product_detailFull product info with coverage and FAQ
compare_productsSide-by-side comparison (2-5 products)
recommendPersonalized plan based on user profile
get_premiumExact premium by age/gender/plan
answer_questionInsurance knowledge Q&A
check_underwritingHealth condition pre-assessment
chatMulti-turn natural language conversation

Quick Start

OpenAI Responses API (Remote MCP)
import OpenAI from 'openai';

const openai = new OpenAI();

const response = await openai.responses.create({
  model: 'gpt-4o',
  tools: [{
    type: 'mcp',
    server_label: 'insurance',
    server_url: 'https://whylingxi.cn/mcp',
    require_approval: 'never'
  }],
  input: '30岁男性,预算5000元,推荐保险方案'
});

console.log(response.output_text);
MCP Direct Call (curl)
curl -X POST https://whylingxi.cn/mcp \
  -H 'Content-Type: application/json' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "search_products",
      "arguments": {"category": "医疗险", "age": 30}
    }
  }'
Python
import requests

resp = requests.post('https://whylingxi.cn/mcp', json={
    'jsonrpc': '2.0',
    'id': 1,
    'method': 'tools/call',
    'params': {
        'name': 'recommend',
        'arguments': {'age': 35, 'gender': '女', 'needs': ['医疗报销', '重疾保障']}
    }
})
result = resp.json()['result']['content'][0]['text']
print(result)

Key Features

  • Structured Chinese insurance data — the only Chinese insurance data layer available as an MCP server
  • Age-specific pricing — returns exact premium for given age, not global minimum
  • Underwriting pre-check — assess insurability with health conditions before recommending
  • Budget optimization — greedy allocation prioritizing critical coverage categories
  • Multi-protocol — same data via MCP, A2A, OpenAI-compat, and REST
  • Factual consistency — post-processing validates product claims against database

Categories

医疗险 (Medical) | 重疾险 (Critical Illness) | 意外险 (Accident) | 定期寿险 (Term Life) | 终身寿险 (Whole Life) | 年金险 (Annuity) | 旅游险 (Travel) | 团险 (Group)

Health Check

curl https://whylingxi.cn/health
# {"status":"ok","products":489,"insurers":158,"categories":10,...}

License

This repository contains documentation and examples only. The MCP server is a hosted service at whylingxi.cn.

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