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Geo Explorer MCP

by arnienemethversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.arnienemeth/geo-explorer-mcp

Install

Overview

Description from the maker (original English)

Country facts, administrative boundaries and regional statistics, for interactive geography.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Databases & datasets
  • You need to fill in: RESTCOUNTRIES_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: RESTCOUNTRIES_API_KEY, GEO_EXPLORER_CONTACT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "geo-explorer": {
      "command": "uvx",
      "args": [
        "geo-explorer-mcp"
      ],
      "env": {
        "RESTCOUNTRIES_API_KEY": "your-value",
        "GEO_EXPLORER_CONTACT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add geo-explorer --env RESTCOUNTRIES_API_KEY=your-value --env GEO_EXPLORER_CONTACT=your-value -- uvx geo-explorer-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "geo-explorer": {
      "command": "uvx",
      "args": [
        "geo-explorer-mcp"
      ],
      "env": {
        "RESTCOUNTRIES_API_KEY": "your-value",
        "GEO_EXPLORER_CONTACT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "geo-explorer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "geo-explorer-mcp"
      ],
      "env": {
        "RESTCOUNTRIES_API_KEY": "your-value",
        "GEO_EXPLORER_CONTACT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • RESTCOUNTRIES_API_KEY secret required env
    Free API key from https://restcountries.com/sign-up, used for country facts.
  • GEO_EXPLORER_CONTACT env
    A contact URL or email placed in the User-Agent sent to Wikidata. Wikimedia rejects requests without one.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account arnienemeth, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 1144 servers in this category
  • Published to the registry more recently than 42% of the other 1144 servers in this category
  • Basic checks equal to or better than 100% of the other 1144 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Geo Explorer MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: RESTCOUNTRIES_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 41 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Computer or cloud★ 2,993Apache-2.0Updated yesterday
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

geo-explorer-mcp

Listed in mcprush: https://mcprush.com/arnienemeth/geo-explorer-mcp

An MCP server that serves country facts, administrative boundaries and regional statistics as structured data, so an AI assistant can build interactive geography instead of reciting it.

The server deliberately returns data, not prose. It hands back populations, polygons and coordinates; the model decides how to present them — as a clickable map, a comparison table, or a lesson in Slovak, German or Hungarian. Nothing in this server knows how to translate, and it does not need to.

Tools

ToolArgumentsReturns
get_country_profilecountryCapitals with coordinates, population, area, region, currencies, languages (English and native names), bordering countries, flag, Wikipedia link
get_map_datacountry, level = ADM0 \ADM1 \ADM2Region names and a browser-fetchable GeoJSON URL, plus source, licence, vintage and data-quality warnings
get_region_detailscountryPer-region population, area, capital city (with its own population and coordinates), native names, subdivision type, Wikidata and Wikipedia links

country accepts a name in almost any language — Slovakia, Slovensko, Magyarország, Magyarorszag (no diacritics), Deutschland, Ungarn.

The two boundary and statistics tools are designed to be joined: get_region_details returns a match_key per region, and a join_hint telling the model how to normalise get_map_data's names to match it.

Quick start

git clone https://github.com/arnienemeth/geo-explorer-mcp

cd geo-explorer-mcp uv sync

Copy .env.example to .env and fill it in:

RESTCOUNTRIES_API_KEY=rc_live_...          # free: https://restcountries.com/sign-up

GEO_EXPLORER_CONTACT=https://github.com/you/your-repo

GEO_EXPLORER_CONTACT goes into the User-Agent sent to Wikidata. Wikimedia requires a contact URL or email and answers anything else with 403.

Once published to PyPI it also installs with no clone at all:

uvx geo-explorer-mcp

Try it in the MCP Inspector:

uv run fastmcp dev inspector server.py
Claude Desktop

Add this to claude_desktop_config.json (on Windows, %APPDATA%\Claude\claude_desktop_config.json), adjusting the paths:

{

"mcpServers": { "geo-explorer": { "command": "C:\\path\\to\\geo-explorer-mcp\\.venv\\Scripts\\python.exe", "args": ["C:\\path\\to\\geo-explorer-mcp\\server.py"] } } }

Pointing at the project's own .venv interpreter means Claude runs exactly what you tested, with no second environment to keep in sync. Restart Claude Desktop fully afterwards — the config is only read at startup.

Then ask it something like:

Show me an interactive map of Slovakia's regions, shaded by population, in German.

Demo page

demo/index.html renders any of four countries from the same two sources the server uses, joined in the browser: shading by population, area or density, capital markers, a sortable table, and per-region links to Wikipedia and Wikidata. One page, parameterised by country — because the server is generic.

It must be served over http, not opened as a file — a file:// page has a null origin and the browser blocks its cross-origin fetches:

cd demo

python -m http.server 8000

RegionsJoined to statistics
Slovakia8 kraje8
Germany16 Bundesländer16
United Kingdom4 countries4
United States56 states and territories55

The single US miss is the Virgin Islands, which has no ISO 3166-2 entry in Wikidata. Regions without a match render grey rather than being dropped.

Layout

server.py                      entry point kept at the root (a shim)

src/geo_explorer_mcp/server.py the implementation demo/index.html the browser demo server.json MCP registry metadata

server.py at the root re-exports the server object, so the Claude Desktop config, fastmcp dev inspector server.py and the probe scripts all keep working while the package underneath stays publishable.

Tests

uv run python probe2.py        # all three tools, plus the boundary/statistics join

uv run python probe_names.py # country-name resolution across languages and spellings

probe2.py runs all four demo countries and asserts two things that previously broke: that geojson_url is the resolved Git LFS media URL, and that at least 90% of boundary regions join to their statistics. Germany sat at 50% before native-name matching landed.

Field notes

Things that cost real debugging time, written down so they don't cost yours.

REST Countries v3.1 is gone. Nearly every tutorial online still uses it. v5 lives at a different host, requires a bearer token, and renamed every field (area → area.kilometers, cca3 → codes.alpha_3, and capitals is now an array of objects, not strings).

geoBoundaries GeoJSON is stored in Git LFS, and only media.githubusercontent.com serves it to a browser:

  • raw.githubusercontent.com/... returns a 131-byte LFS pointer file, not geometry.
  • The github.com/.../raw/... URL the API publishes 302-redirects with an *empty* access-control-allow-origin. Browsers enforce CORS on every hop of a redirect, so a page fetching it fails with TypeError: Failed to fetch even though the final response sends access-control-allow-origin: *.

Either mistake produces a blank map with no error. get_map_data resolves the redirect and returns the URL that actually works.

Verifying with `curl` does not verify browser behaviour. curl -L followed that redirect happily and reported the permissive header on the final response. It ignores CORS entirely. Test cross-origin fetches with an Origin header, or in a browser.

Wikidata's area property mixes units. P2046 values are entered in square kilometres, hectares *or* square metres, and the raw number carries no hint which. Reading it directly gave Békéscsaba an area of 193,930,000 km² — it is 193.9 km², recorded in m². Use the *normalised* value (p:P2046/psn:P2046), which Wikidata converts to SI base units.

ISO 3166-2 mixes administrative levels. Hungary returns 43 subdivisions: 19 counties, Budapest, and 23 cities with county rights. The cities sit *inside* the counties, so their areas and populations must not be summed, and there are far fewer boundary shapes than entries. get_region_details returns subdivision_types and warns via data_quality_notes.

Country-name matching folds case but not diacritics. Magyarország resolves; Magyarorszag does not. Translations (Ungarn, Hongrie) are excluded from the name aggregate on purpose. The server works around both with a three-step fallback: the name aggregate, then the translations endpoint, then a locally built diacritic-folded index.

A Wikidata query that works for a small country can time out for a large one. Resolving subdivisions via ?i wdt:P17 ?country makes Wikidata scan everything in that country: fine for Slovakia, HTTP 504 for the United States. Filtering on the ISO 3166-2 prefix instead — FILTER(STRSTARTS(?iso, "US-")) — returns the same 56 rows in 0.9 seconds, because those codes are *defined* as - , so the prefix already is the country filter.

The same region has different names in each source. geoBoundaries says Bayern, Sachsen, Thüringen; Wikidata's English labels are Bavaria, Saxony, Thuringia. Matching on the English label alone joined 8 of Germany's 16 states. Building a key from *every* name variant, native names included, joins all 16 — which is why get_region_details returns match_keys (plural).

A bounding box lies about shapes that cross the antimeridian. Alaska's Aleutian Islands run past 180°, so its box reads -179.15 .. 179.78 — a 359-degree span. fitBounds on that zooms out to the whole globe and shrinks the mainland to a smudge, with no error. Russia, Fiji and New Zealand share the trap. The demo refuses any box wider than 180° and falls back to a fixed view.

The `hidden` attribute loses to any author `display` rule. It works through the browser's default stylesheet, the weakest source there is, so an element styled display:grid stays visible when you set hidden. Symptom: a loading overlay that never goes away, covering a map that loaded perfectly. Guard it with [hidden]{display:none !important}.

Some upstream region names are damaged. geoBoundaries' ADM2 names for Slovakia are truncated and mistransliterated (Prešov → Predov, Dolný Kubín → Dolne Kub). The *geometry* is fine. get_map_data detects this and returns a data_quality_note so a model does not present corrupted names as fact.

No `#` comments inside a SPARQL query that gets collapsed to one line. In SPARQL # comments out the rest of the *line*; after collapsing, that is the entire query. Symptom: HTTP 400.

Data sources

SourceUsed forLicence
REST Countries v5Country factsFree tier, API key required
geoBoundariesAdministrative boundariesCC BY 4.0 / ODbL, varies per country — the tool returns the actual licence per request
WikidataRegional statistics, capitals, linksCC0 1.0

Boundary licences differ by country because geoBoundaries aggregates national sources. Slovakia's are OpenStreetMap-derived and therefore ODbL, which has share-alike obligations that CC BY does not. get_map_data returns the licence that applies to the data it just gave you; use that, not a hardcoded string.

Roadmap

  • Publish to PyPI so the server installs with uvx geo-explorer-mcp
  • Repair corrupted ADM2 names by joining to Wikidata
  • compare_countries for side-by-side statistics
  • Cache boundary metadata to disk rather than in memory

Licence

MIT — see LICENSE. The data this server returns carries its own licences; see the table above.

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