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Connect Moscow Schools Kindergartens Universities 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. Map the city's schools, kindergartens, and universities 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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through OpenStreetMap + Russian Wikipedia.

  1. 01

    Find kindergartens

    Find Moscow kindergartens and pre-schools by name or specific location. It returns the name, operator, phone number, and coordinates for each facility.

  2. 02

    Education profile

    Get a citywide snapshot of Moscow's education landscape. This capability provides total counts for schools, kindergartens, universities, colleges, libraries, and extra schools.

  3. 03

    Find extra schools

    Locate specialized institutions like language, driving, music, art, or dance schools. You can filter by a specific type or request the full list.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through OpenStreetMap + Russian Wikipedia.

  1. 04

    Find schools

    Search for general-education schools, including gymnasiums and lyceums. Use name fragments or geographic coordinates to find schools near a specific address.

  2. 05

    Find universities

    Identify Moscow universities and colleges by name or district. It provides contact details and exact coordinates for each campus.

  3. 06

    Universities wiki

    Access Russian Wikipedia data for Moscow universities. It provides a list of titles or a detailed summary for a specific institution.

Real work

What teams actually run

01

Neighborhood Scouting

Find all kindergartens within a specific walking distance of a potential new home.

02

Market Research

Get a total count of all libraries and schools in a district for a demographic report.

03

Higher Ed Research

Locate university campuses and pull their Wikipedia summaries to check accreditation or history.

04

Specialized Training Search

Identify all driving or language schools in a specific area of the city.

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

1047ms average. Fast in production.

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

Daily averagePeak 1317ms
Oct 3Today
Fastest day
876ms
Slowest day
1317ms
14-day trend
Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 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_eKfnCnwlOcsw0HgEFkevZUmxGCILzKz3reCBKJeS/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — OpenStreetMap + Russian Wikipedia capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "moscow-schools-kindergartens-universities-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_eKfnCnwlOcsw0HgEFkevZUmxGCILzKz3reCBKJeS/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 people analyzing the urban landscape of Moscow or planning residential moves.

  • 01

    Relocation Consultants

    They hand off the task of finding local schools and kindergartens to the AI.

  • 02

    Urban Researchers

    They use the capability to get citywide counts and education density reports.

  • 03

    Families

    They use the proximity capabilities to find educational options near a specific neighborhood.

FAQ

Questions OpenStreetMap + Russian Wikipedia owners ask.

  • 01

    How many schools are covered in this MCP?

    The data includes approximately 1,300 schools and 2,000 kindergartens across Moscow.

  • 02

    Can I find schools by their specific name?

    Yes, you can use name fragments to find specific gymnasiums, lyceums, or universities.

  • 03

    Does this provide contact information?

    Yes, most capabilities return the name, operator, phone number, and website for the institutions.

  • 04

    How do I find schools near a specific address?

    You can provide latitude, longitude, and a radius in kilometers to find schools or kindergartens in a specific area.

  • 05

    What kind of extra schools are available?

    You can search for language, driving, music, art, and dance schools.

  • 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

    Do the capabilities cover admissions and exam scores?

    No. The map gives the estate itself. locations, names, operators, phones. and the Wikipedia roll gives the encyclopaedia entries. Admissions data lives on Moscow’s own portals, which refuse connections from outside Russia.

  • 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 schools near an address?

    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.

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