How accurate is the playground data?

Most playgrounds are unnamed in the database. The capability works best as a density map to show you where playgrounds are located around an address.

Can I find outdoor sports at night?

Yes. You can use the find_pitches capability and filter for facilities that have floodlighting.

Does this include major stadiums?

Yes. It includes major arenas like Luzhniki, CSKA, and Dynamo.

Can I check if a pool is indoor or outdoor?

Yes. The find_swimming_pools capability allows you to filter by whether the pool is covered.

What if I need historical info on a stadium?

Use the stadiums_wiki capability to get capacity, opening years, and home club information.

Do I need an API key?

No. Every source is keyless and global: OpenStreetMap (Overpass + Nominatim) and Russian Wikipedia. The MCP defines no credentials.

Why does the Wikipedia roll matter for stadiums?

OSM gives the location and the sport tags; Wikipedia carries the capacity, the opening year and the home club. none of which the map tags reliably hold.

Why are the counts bigger than the rows I get?

Yes. OSM maps most large venues as areas (stadiums, monastery enclosures, university campuses), and every list capability uses the nwr selector, so nodes, ways and relations all count.

Can I find a gym near me?

Pass lat + lon (and optionally km, 0.1–25) and the query narrows to a radius instead of the whole city. Do it before a long list. a citywide scan is capped at 200 rows.

An astronaut overseeing a futuristic data hub

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Connect Moscow Sport Stadiums Pools Pitches to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Find any gym, pool, or pitch in Moscow instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through OpenStreetMap + Russian Wikipedia.

01
Find ice rinks and ski
Locate Moscow ice rinks and ski bases. You can filter by name or narrow your search to a specific neighborhood using coordinates.
02
Find pitches
Find outdoor pitches and courts across the city. Use filters for specific sports, surface types, or the presence of floodlighting.
03
Find playgrounds
Search for children's playgrounds. This capability provides a density map of locations around a specific address.
04
Find sport centres
Identify fitness clubs and sports centers. You can filter these by sport type, name, or current opening status.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through OpenStreetMap + Russian Wikipedia.

05
Find stadiums
Locate major stadiums and arenas like CSKA or Dynamo. Results include sport tags, capacity, and location data.
06
Find swimming pools
Find swimming pools in Moscow. You can specify if you need an indoor or outdoor pool and check their operating hours.
07
Sport profile
Get a citywide summary of sports infrastructure. This provides counts for all facility types in a single request.
08
Stadiums wiki
Access encyclopedic details about Moscow stadiums. It pulls capacity, opening years, and home club info from Wikipedia.

Real work

What teams actually run

Finding Night Training Spots

Ask your agent for soccer pitches with floodlighting to plan an evening match.

Planning Family Outings

Use the playground capability to find play areas near a specific address.

Checking Pool Access

Find indoor swimming pools that are currently open for a quick swim.

Stadium Fact-Checking

Get the capacity and home club of a major arena using the Wikipedia integration.

One connector, every AI

OpenStreetMap + Russian Wikipedia works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put OpenStreetMap + Russian Wikipedia to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

940ms average. Fast in production.

OpenStreetMap + Russian Wikipedia is checked daily against the live service.

Daily averagePeak 1431ms

Oct 3Today

Fastest day: 762ms
Slowest day: 1431ms
14-day trend: Improving-14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of OpenStreetMap + Russian Wikipedia, so you can see the experience inside your AI.

It does not authenticate your account with OpenStreetMap + Russian Wikipedia. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

OpenStreetMap + Russian Wikipedia Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_iT33KrfLdKjBJq2o1iDQbvgzGMuMlnj5cF4KVcZG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — OpenStreetMap + Russian Wikipedia capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "moscow-sport-stadiums-pools-pitches-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_iT33KrfLdKjBJq2o1iDQbvgzGMuMlnj5cF4KVcZG/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up OpenStreetMap + Russian Wikipedia in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work OpenStreetMap + Russian Wikipedia owners hand off.

This MCP is built for anyone navigating Moscow's physical sports landscape through an AI interface.

01
Athletes
They ask the AI to find specific court surfaces or floodlit pitches for training.
02
Parents
They use the agent to map out playground routes or find local swimming pools.
03
Sports Researchers
They use the profile capability to get counts of facilities across different city districts.

FAQ

Questions OpenStreetMap + Russian Wikipedia owners ask.

01
How accurate is the playground data?
Most playgrounds are unnamed in the database. The capability works best as a density map to show you where playgrounds are located around an address.
02
Can I find outdoor sports at night?
Yes. You can use the find_pitches capability and filter for facilities that have floodlighting.
03
Does this include major stadiums?
Yes. It includes major arenas like Luzhniki, CSKA, and Dynamo.
04
Can I check if a pool is indoor or outdoor?
Yes. The find_swimming_pools capability allows you to filter by whether the pool is covered.
05
What if I need historical info on a stadium?
Use the stadiums_wiki capability to get capacity, opening years, and home club information.
06
Do I need an API key?
No. Every source is keyless and global: OpenStreetMap (Overpass + Nominatim) and Russian Wikipedia. The MCP defines no credentials.
07
Why does the Wikipedia roll matter for stadiums?
OSM gives the location and the sport tags; Wikipedia carries the capacity, the opening year and the home club. none of which the map tags reliably hold.
08
Why are the counts bigger than the rows I get?
Yes. OSM maps most large venues as areas (stadiums, monastery enclosures, university campuses), and every list capability uses the nwr selector, so nodes, ways and relations all count.
09
Can I find a gym near me?
Pass lat + lon (and optionally km, 0.1–25) and the query narrows to a radius instead of the whole city. Do it before a long list. a citywide scan is capped at 200 rows.

Explore

More in Sports Fitness

Connect OpenStreetMap + Russian Wikipedia to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Find ice rinks and ski

Find pitches

Find playgrounds

Find sport centres

05-08

Find stadiums

Find swimming pools

Sport profile

Stadiums wiki

What teams actually run

Finding Night Training Spots

Planning Family Outings

Checking Pool Access

Stadium Fact-Checking

Building your own app? The connector is yours to use.

OpenStreetMap + Russian Wikipedia Connector

Claude Desktop

Athletes

Parents

Sports Researchers

How accurate is the playground data?

Can I find outdoor sports at night?

Does this include major stadiums?

Can I check if a pool is indoor or outdoor?

What if I need historical info on a stadium?

Do I need an API key?

Why does the Wikipedia roll matter for stadiums?

Why are the counts bigger than the rows I get?

Can I find a gym near me?

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