Global Metro Power Rankings
Query 4,300+ ranked metros across sixteen dimensions: profiles, search, and head-to-head comparisons
我该使用它吗
质量与安全性
发现（1）
- LOWTool 'compare_metros' description lacks action verb在 compare_metros 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"global-metro-power-rankings": {
"url": "https://rankings.citizenofnowhere.org/api/mcp"
}
}
}远程端点
https://rankings.citizenofnowhere.org/api/mcpstreamable-http它能做什么
工具清单
工具（5）
🟢get_metro(slug)
Full profile for one metro in the Global Metro Power Rankings: rank, score, all sixteen dimension values and ranks, teams, universities, culture, luxury hospitality, events, market cap, and more. Use search_metros first if you don't know the exact slug.
输入模式
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "URL slug for the metro, e.g. 'new-york', 'london', 'san-francisco-san-jose'"
}
},
"required": [
"slug"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_top_metros(n, region, country)
Ranked list of metros from the Global Metro Power Rankings composite (4,300+ metros total), optionally filtered by region or country. Returns lightweight summary rows (rank, slug, name, country, region, score, population). Call get_metro for full detail on any one metro. Capped at 200 rows per call.
输入模式
{
"type": "object",
"properties": {
"n": {
"default": 25,
"description": "Number of metros to return, max 200",
"type": "integer",
"minimum": 1,
"maximum": 200
},
"region": {
"description": "Filter by region name, e.g. 'North America', 'Europe'",
"type": "string"
},
"country": {
"description": "Filter by country name, e.g. 'United States'",
"type": "string"
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢search_metros(query, limit)
Case-insensitive search over metro name, primary city, and country. Use this to find a metro's exact slug before calling get_metro or compare_metros.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Search text, e.g. 'san fran', 'brazil'"
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"required": [
"query"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}⚪compare_metros(slugs)
Side-by-side comparison of two to 4 metros across all sixteen scoring dimensions, with the leader in each dimension flagged.
输入模式
{
"type": "object",
"properties": {
"slugs": {
"minItems": 2,
"maxItems": 4,
"type": "array",
"items": {
"type": "string"
},
"description": "2 to 4 metro slugs to compare"
}
},
"required": [
"slugs"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_methodology
The sixteen weighted dimensions behind the Global Metro Power Rankings composite score: what each measures, its weight/shape in the formula, and its upstream data source.
输入模式
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}推荐提示词
search_metrossearch_metrosget_metroget_metrolist_top_metros社区
证据