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Connect Moscow Museums Theatres Libraries 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 and explore Moscow's cultural landscape through your AI agent.

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 · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through OpenStreetMap + Russian Wikipedia.

  1. 01

    Cultural institution

    This capability provides a Wikipedia summary for a specific Moscow institution. It returns the title, a one-line description, and an introductory paragraph in Russian.

  2. 02

    Culture category listing

    This capability retrieves curated lists of Moscow's cultural venues from Wikipedia. It returns page titles that you can use to find more details about specific institutions.

  3. 03

    Find libraries

    This capability searches for libraries in Moscow by name or proximity to a specific point. It provides the name, phone number, opening hours, and coordinates for each branch.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through OpenStreetMap + Russian Wikipedia.

  1. 04

    Find museums

    This capability locates museums in Moscow using filters for collection types like art, history, or science. It returns the venue name, contact info, website, hours, and location coordinates.

  2. 05

    Find theatres

    This capability finds Moscow theatres and concert halls by name or stage type, such as ballet or opera. It allows for proximity-based searches to find venues near you.

Real work

What teams actually run

01

Local Itinerary Planning

Ask your agent to find all science museums within walking distance of your current location.

02

Quick Venue Research

Get a brief history of a theatre before you attend a performance.

03

Library Locating

Find the nearest district library branch and check its operating hours.

04

Curated Discovery

Use Wikipedia's curated lists to find the most significant cultural institutions in 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

999ms average. Fast in production.

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

Daily averagePeak 1203ms
Oct 3Today
Fastest day
816ms
Slowest day
1203ms
14-day trend
Slowing+26%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 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_U92acyGtEjt3KkAuMt0uJQDF7dN1xhA6jg8ZgEdN/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-museums-theatres-libraries-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U92acyGtEjt3KkAuMt0uJQDF7dN1xhA6jg8ZgEdN/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 needing reliable, structured data about Moscow's cultural landscape.

  • 01

    Travelers

    Use the AI to find nearby museums or theatres based on your current hotel location.

  • 02

    Residents

    Hand off the task of finding local library branches or specific art collections to your agent.

  • 03

    Researchers

    Let your agent pull quick Wikipedia summaries and curated lists for cultural studies.

FAQ

Questions OpenStreetMap + Russian Wikipedia owners ask.

  • 01

    How many museums are included in this MCP?

    The MCP provides access to approximately 500 museums in Moscow.

  • 02

    Can I find opening hours for these venues?

    Yes, the find_museums, find_theatres, and find_libraries capabilities provide opening hours for the listed institutions.

  • 03

    Does this MCP provide information in English?

    The Wikipedia summaries provided by the cultural_institution capability are in Russian.

  • 04

    Can I search for museums by their specific collection type?

    Yes, you can filter museums by types such as art, history, science, military, and more.

  • 05

    How does the proximity search work?

    You can provide a point or location, and the capabilities will return venues near those coordinates.

  • 06

    Do I need an API key?

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

  • 07

    Why two views. map and Wikipedia?

    The listings come from Russian Wikipedia’s curated categories (120+ museums, 32 theatres, 37 libraries). The find_* capabilities give the map view with coordinates; the listing capabilities give the curated encyclopaedia view.

  • 08

    Why are the counts bigger than the rows I get?

    Yes. OSM maps most large venues as areas (museum buildings, theatre blocks), and every list capability uses the nwr selector, so nodes, ways and relations all count.

  • 09

    Can I find museums near a point?

    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