Global Metro Power Rankings

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by ashwin-desikan · TypeScript

Query 4,300+ ranked metros across sixteen dimensions: profiles, search, and head-to-head comparisons

org.citizenofnowhere.rankings — Global Metro Power Rankings MCP Server

This MCP server supports querying global metro rankings. It covers 4,300+ ranked metros across sixteen dimensions and provides access to metro profiles, search, and head-to-head comparisons. The server is described under the slug org-citizenofnowhere-rankings-global-metro-power-rankings, with 5 tools available.

🛠️ Key Features

Queries 4,300+ ranked metros
Rankings across sixteen dimensions
Metro profiles
Search
Head-to-head comparisons

🚀 Use Cases

Retrieve metro profile data from ranked results
Find metros via search
Compare two metros directly using head-to-head comparisons

⚡ Developer Benefits

Tool-based access (5 tools) to profiles, search, and comparisons
Structured querying across sixteen ranking dimensions

⚠️ Limitations

Coverage and functionality are specific to ranked metro data (4,300+ metros) and the listed comparison modes

Captured live from the server via tools/list.

get_metro

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.

Parameters1

slug

string

required

URL slug for the metro, e.g. 'new-york', 'london', 'san-francisco-san-jose'

Raw schema

{
  "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

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.

Parameters3

n	integer	optional	Number of metros to return, max 200
region	string	optional	Filter by region name, e.g. 'North America', 'Europe'
country	string	optional	Filter by country name, e.g. 'United States'

Raw schema

{
  "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

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.

Parameters2

query	string	required	Search text, e.g. 'san fran', 'brazil'
limit	integer	optional

Raw schema

{
  "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

Side-by-side comparison of two to 4 metros across all sixteen scoring dimensions, with the leader in each dimension flagged.

Parameters1

slugs

array

required

2 to 4 metro slugs to compare

Raw schema

{
  "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.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Install

Tools (5)

get_metrolist_top_metrossearch_metroscompare_metrosget_methodology

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://rankings.citizenofnowhere.org/api/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "global-metro-power-rankings": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://rankings.citizenofnowhere.org/api/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

org.citizenofnowhere.rankings — Global Metro Power Rankings MCP Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

get_metro

list_top_metros

search_metros

compare_metros

get_methodology

Install

Remote endpoint

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