WhyLingxi 保险顾问 Insurance Advisor
Server Details
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.
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- Status
- Unhealthy
- Uptime
- 70.6% over 50 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- lpb123/whylingxi-insurance-mcp
- GitHub Stars
- 1
- Server Listing
- WhyLingxi Insurance MCP Server
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose: answer_question handles factual queries, chat manages multi-turn dialogue, check_underwriting assesses health risks, compare_products compares specific products, get_premium provides precise pricing, get_product_detail retrieves product info, get_schema guides strategy, recommend gives tailored plans, and search_products filters by criteria. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., answer_question, check_underwriting, compare_products, get_premium, get_product_detail). The few single-word tools (chat, recommend) are common exceptions that still convey action clearly.
With 9 tools, the server is well-scoped for an insurance advisor. Each tool serves a necessary function—knowledge retrieval, chat, underwriting, comparison, pricing, details, meta-guidance, recommendation, and search—without redundancy or bloat.
The tool set covers the full lifecycle of insurance advisory: product discovery (search, detail, compare), pricing (get_premium), risk assessment (check_underwriting), recommendation (recommend), knowledge support (answer_question), and user guidance (chat, get_schema). No obvious gaps remain for typical use cases.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
9 tool updates
- First observed
answer_question - First observed
chat - First observed
check_underwriting - First observed
compare_products - First observed
get_premium - First observed
get_product_detail - First observed
get_schema - First observed
recommend - First observed
search_products
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