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Connect Moscow Sights Landmarks Views to ChatGPT and Claude

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 out your Moscow trip with real-time local data.

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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 attractions

    Find Moscow attractions using name fragments, location, or current opening status. It returns coordinates, descriptions, and whether entry is free or paid.

  2. 02

    Find fountains

    Locate Moscow fountains and water features by name or neighborhood. This capability excludes drinking water springs to focus on decorative water features.

  3. 03

    Find viewpoints

    Identify panorama platforms and viewpoints like Sparrow Hills. It provides names, descriptions, and coordinates for every location.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through OpenStreetMap + Russian Wikipedia.

  1. 04

    Moscow landmarks

    Access a curated list of Moscow landmarks pulled from Russian Wikipedia. You can request a short encyclopedic summary for the first landmark in the list.

  2. 05

    Sights nearby

    Get a shortlist of attractions, viewpoints, and artworks within a specific walking radius of your coordinates.

  3. 06

    Tourism profile

    Get a high-level count of all mapped attractions, fountains, museums, and theaters across the entire city.

Real work

What teams actually run

01

Spontaneous Walking Tours

Ask your agent for sights within a 2 km radius to plan a walk from your current position.

02

Budget Sightseeing

Filter for free attractions that are open right now to save money and time.

03

Finding Scenic Views

Locate specific panorama platforms like the Ostankino decks for photography or sightseeing.

04

Quick Fact Checking

Get historical context for a landmark 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

937ms average. Fast in production.

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

Daily averagePeak 1122ms
Oct 3Today
Fastest day
854ms
Slowest day
1122ms
14-day trend
Improving-5%

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_H5QGVaQH9kUtifVur4HgOkeeOoynbnXLphyqokVE/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-sights-landmarks-views-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_H5QGVaQH9kUtifVur4HgOkeeOoynbnXLphyqokVE/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 navigating Moscow who need immediate, data-driven answers about what is nearby and what is open.

  • 01

    Tourists

    Use the AI to find free things to do or nearby sights while walking through new neighborhoods.

  • 02

    Local Residents

    Hand off the task of finding specific water features or viewpoints to your agent when showing visitors around.

  • 03

    Travel Planners

    Use the citywide profile to quickly gauge the density of cultural sites in different districts.

FAQ

Questions OpenStreetMap + Russian Wikipedia owners ask.

  • 01

    How many attractions are in the database?

    The MCP includes data for about 1,500 attractions, 90 viewpoints, and 230 fountains.

  • 02

    Can I find free things to do?

    Yes, you can use the find_attractions capability and filter for items where the fee is marked as no.

  • 03

    Does this include museums?

    This MCP covers a broad list of attractions including museums, though specific cultural deep-dives may require a different capability.

  • 04

    Is the data real-time?

    The capability can check if an attraction is open right now based on its recorded operating hours.

  • 05

    How does it handle walking distances?

    The sights_nearby capability uses your coordinates to provide a ranked list of sights within a specific radius.

  • 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

    How is this different from the culture MCP?

    The culture MCP covers museums, theatres and libraries in depth. This one is the broader list of things worth seeing. attractions, viewpoints, fountains and street art. plus a distance-sorted walking shortlist.

  • 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 sights 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.

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