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WhyLingxi 保险顾问 Insurance Advisor

WhyLingxi 保险顾问 Insurance Advisor

Remote
github.com/lpb123Finance2Updated 20w ago
Repository

About WhyLingxi 保险顾问 Insurance Advisor

WhyLingxi is an AI insurance data platform for the Chinese market, aimed at developers building insurance-planning and advisor agents. It exposes structured product information and age-specific premium queries through MCP and other interfaces.

Key features

  1. 01Search by category, keyword, age, and budget
  2. 02Inspect product details and compare plans
  3. 03Generate coverage plans from user criteria
  4. 04Query exact premiums and pre-check underwriting
  5. 05Insurance Q&A and multi-turn chat

Use cases

  1. 01Plan individual or family coverage in China
  2. 02Compare products and estimate premiums for an age
  3. 03Check eligibility against health conditions
  4. 04Build insurance advisor apps or chatbots

MCP support

The Streamable HTTP MCP server exposes nine tools for searching, comparing, and recommending insurance products, as well as querying premiums, underwriting conditions, and insurance information.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://whylingxi.cn/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project 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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