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Global Metro Power Rankings MCP Server

by citizenofnowhere-rankings Your server? Claim it
answering

Global Metro Power Rankings is answering right now. Last checked 6 min ago. It exposes 5 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 91 days of history · worst day 97%
91 days agonow
100.0%
Uptime 24h
92 of 92 checks
5
Tools
read from the server
609 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 4 September 2026. No other catalogue keeps this.

4 Sep a tool description was rewritten list_top_metros

What the code does

We have not read this server's code yet, 40 d ago · tools taken from the live server · rules ccca72095570

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

  "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Im5tcHJxa215bXJka25mZndudXVyIiwicm9sZSI6ImFub24iLCJpYXQiOjE3ODMyMDkzNDMsImV4cCI6MjA5ODc4NTM0M30.4RXU3mQ-Yl81ZqC2_a10aizKGu_87B4vt8OK5Pi_-sM";
Builds a database query by concatenation OEGCI Comparison - Table for Substack.html:57, app/teams/football/SeasonTrends.tsx:67, .github/workflows/updates-drift-watcher.yml:142
… paste into Substack: open this file in your browser, click anywhere inside the table, press Ctrl+A (or Cmd+A) twice to select the entire table, then Ctrl+C (or Cmd+C). In your Substack draft, place the cursor where the table should go and press Ctrl+V (or Cmd+V). Substack preser…
Builds a file path from a variable mac-mini-jobs/f1-data/f1_update.py:11
def P(f): return os.path.join(D,f)
    run = run or (lambda argv, cwd: subprocess.run(
  body.innerHTML = data.map((m, i) => `
Dumps the whole environment mac-mini-jobs/dispatcher.py:380
    return dict(os.environ, DISPATCHER_LOCK_HELD=str(os.getpid()))

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add global-metro-power-rankings --transport http https://rankings.citizenofnowhere.org/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://rankings.citizenofnowhere.org/api/mcp
~/.codex/config.toml
[mcp_servers.global-metro-power-rankings]
url = "https://rankings.citizenofnowhere.org/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "global-metro-power-rankings": {
      "url": "https://rankings.citizenofnowhere.org/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "global-metro-power-rankings": {
      "type": "http",
      "url": "https://rankings.citizenofnowhere.org/api/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

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

Endpoints

URLTransportStateLatencyChecked
https://rankings.citizenofnowhere.org/api/mcp streamable-http answering 575 ms 6 min ago

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Global Metro Power Rankings — questions

Answers built from our own checks of this server.

What can Global Metro Power Rankings do?
It exposes 5 tools, read directly from the server on our last check. Among them: compare_metros, get_methodology, get_metro, list_top_metros, search_metros. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Global Metro Power Rankings working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 609 ms. The bar chart above shows every period we have measured.
Is Global Metro Power Rankings still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Global Metro Power Rankings?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Global Metro Power Rankings need an API key?
No. Global Metro Power Rankings completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Global Metro Power Rankings?
It answers our handshake in 609 ms on average, which is faster than 17% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.