Global Metro Power Rankings
Query 4,300+ ranked metros across sixteen dimensions: profiles, search, and head-to-head comparisons
使うべきか
品質と安全性
検出事項(1)
- LOWcompare_metros 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"global-metro-power-rankings": {
"url": "https://rankings.citizenofnowhere.org/api/mcp"
}
}
}リモートエンドポイント
https://rankings.citizenofnowhere.org/api/mcpstreamable-httpできること
ツール一覧
ツール(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.
入力スキーマ
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "URL slug for the metro, e.g. 'new-york', 'london', 'san-francisco-san-jose'"
}
},
"required": [
"slug"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_top_metros(n, region, country)
Ranked list of metros from the Global Metro Power Rankings composite (4,300+ metros total), optionally filtered by region or country. Returns lightweight summary rows (rank, slug, name, country, region, score, population). Call get_metro for full detail on any one metro. Capped at 200 rows per call.
入力スキーマ
{
"type": "object",
"properties": {
"n": {
"default": 25,
"description": "Number of metros to return, max 200",
"type": "integer",
"minimum": 1,
"maximum": 200
},
"region": {
"description": "Filter by region name, e.g. 'North America', 'Europe'",
"type": "string"
},
"country": {
"description": "Filter by country name, e.g. 'United States'",
"type": "string"
}
},
"$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.
入力スキーマ
{
"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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}⚪compare_metros(slugs)
Side-by-side comparison of two to 4 metros across all sixteen scoring dimensions, with the leader in each dimension flagged.
入力スキーマ
{
"type": "object",
"properties": {
"slugs": {
"minItems": 2,
"maxItems": 4,
"type": "array",
"items": {
"type": "string"
},
"description": "2 to 4 metro slugs to compare"
}
},
"required": [
"slugs"
],
"$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.
入力スキーマ
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}推奨プロンプト
search_metrossearch_metrosget_metroget_metrolist_top_metrosコミュニティ
エビデンス