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Glama
KatouMegumii

vac-product-recommend-mcp

by KatouMegumii

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
recommend_toursA

在携程跟团游「精选/综合」列表里搜索并按需求推荐产品。当用户要『找/推荐/搜索/比较』携程的跟团游、拼小团、私家团、邮轮、自由行、定制游等旅游产品时,直接调用本工具(无需用户指定工具名)。根据点评分、销量、点评量、供应商等维度排序,返回 TopN 产品信息、链接和推荐理由。返回的是 Markdown 表格;最终回复用户时请直接使用该表格,不要改写格式。

search_toursA

在携程跟团游「精选/综合」列表里搜索并返回结构化产品列表。当用户要『列出/搜索/看看』携程的跟团游、拼小团、私家团、邮轮等产品,或需要按销量/好评/价格/产品类型自定义筛选时,直接调用本工具(无需用户指定工具名)。支持 travel_way 产品类型筛选、sort 排序、limit 自动分页。返回的是 Markdown 表格;最终回复用户时请直接使用该表格,不要改写格式。

get_filter_optionsA

查询携程综合列表当前可用的筛选器及可选值(fastFilters)。当需要把用户需求映射成具体筛选参数/枚举时,先调用本工具获取可选值,再调用 search_tours 或 recommend_tours。

get_departure_citiesA

查询携程出发城市ID。当用户提到某出发城市(如上海、北京、合肥)时,先调用本工具按中文名/拼音模糊查询城市ID,再把ID传给 search_tours 或 recommend_tours 的 depart_city_id。

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 4 tools

Disambiguation3/5

recommend_tours and search_tours overlap heavily: both search the same Ctrip tour list and both are meant for searching/recommending, with only a subtle difference in intent. The two get_* helpers are clearly distinct, so the ambiguity is contained.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: recommend_tours, search_tours, get_filter_options, get_departure_cities. The naming is predictable and easy to map to tool purpose.

Tool Count5/5

Four tools is a well-scoped set for a travel recommendation MCP. Each tool has a clear role in the search/recommendation workflow, and nothing feels extraneous or missing at the count level.

Completeness4/5

The set covers the main workflows: searching, recommending, resolving filter options, and mapping departure cities. A minor gap is lack of a dedicated product-detail or itinerary tool, but recommendations include links and enough product information to work around this.

Maintenance

ActivitySlowing
ResponsivenessNo issues