
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.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
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.

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.
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.
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.
01-03
3 capabilities in this set.
Part of 6 available through OpenStreetMap + Russian Wikipedia.
- 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.
- 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.
- 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.
04-06
3 capabilities in this set.
Part of 6 available through OpenStreetMap + Russian Wikipedia.
- 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.
- 05
Find universities
Identify Moscow universities and colleges by name or district. It provides contact details and exact coordinates for each campus.
- 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
Neighborhood Scouting
Find all kindergartens within a specific walking distance of a potential new home.
Market Research
Get a total count of all libraries and schools in a district for a demographic report.
Higher Ed Research
Locate university campuses and pull their Wikipedia summaries to check accreditation or history.
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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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.
- 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.
https://edge.vinkius.com/vk_preview_eKfnCnwlOcsw0HgEFkevZUmxGCILzKz3reCBKJeS/mcpClaude 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.
{
"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
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.
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Connect OpenStreetMap + Russian Wikipedia to Claude, Cursor, ChatGPT & more
