#underwriting

Multifamily real estate deal analysis — analyze deals, score properties, calculate max offer prices, and look up market data via AI assistants.

Enterprise financial intelligence MCP server. Upload any financial document, including scanned PDFs, and get institutional-grade spreading, 170+ ratios, stress testing, and credit memos. Public company filings across US, India, and UK available out of the box.

Structured Chinese insurance data infrastructure for AI agents — not a marketplace, but the data layer. Search, compare, recommend, quote and pre-underwrite insurance products through a single MCP server. The only structured Chinese insurance data available as an MCP service. ## When to use 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 ## Coverage 65 insurers | 483 products | 8 categories | Real-time pricing Categories: Medical, Critical Illness, Accident, Term Life, Whole Life, Annuity, Travel, Group ## Tools (9) - get_schema — Discover capabilities and parameters - search_products — Search by category/keyword/age/budget - get_product_detail — Full product info with coverage and FAQ - compare_products — Side-by-side comparison (2-5 products) - recommend — Personalized insurance plan based on age/gender/budget/needs - get_premium — Exact premium lookup by age/gender/plan - answer_question — Insurance knowledge Q&A - check_underwriting — Health condition pre-check against product requirements - chat — Multi-turn natural language conversation ## Use Cases For AI Agents: Insurance Planning, Financial Advisor, Family Protection, Retirement Planning, Health Advisory For Developers: MCP (Claude Desktop, Cursor), OpenAI Tool Calling, A2A delegation, custom chatbots ## Key Features - Age-specific exact pricing (not global minimums) - Underwriting pre-check before recommendation - Budget-optimized plan generation - Factual consistency validation against product database - Multi-protocol: MCP / A2A / OpenAI-compatible / REST Full Description (中文): 面向中国保险市场的AI原生结构化保险数据基础设施 —— 不是保险商城，是给AI Agent调用的数据层。 通过统一的MCP服务提供保险产品搜索、对比、推荐、精确报价与核保预检能力。中国保险市场唯一以MCP协议对外开放的结构化数据服务。 ## 适用场景 当用户咨询以下问题时使用： - 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 - AI保险顾问工具集成 ## 数据覆盖 65家保司 | 483款在售产品 | 8大险种 | 实时精确报价 险种：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 ## 工具（9个） - 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 ## 应用场景 面向AI Agent：保险规划、理财顾问、家庭保障、养老规划、健康咨询 面向开发者：MCP集成（Claude Desktop、Cursor）、OpenAI Tool Calling、A2A协作、自定义聊天机器人 ## 核心特性 - 精准报价：返回指定年龄精确保费，非全局最低价 - 核保预检：推荐前先评估可投保性 - 预算优化：按优先级贪心分配，最大化保障覆盖 - 事实一致性：后处理校验防止LLM幻觉 - 多协议：MCP / A2A / OpenAI兼容 / REST