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WhyLingxi 保险顾问 Insurance Advisor

WhyLingxi 保险顾问 Insurance Advisor

@lpb123IntegrationsUpdated 1w ago

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.

Server endpointStreamable HTTP

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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.