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Connect Moscow Hotels Hostels Stays 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. Get real-time Moscow accommodation data 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 · 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

    Accommodation profile

    This capability provides a citywide overview of Moscow's lodging. It returns counts for hotels, hostels, apartments, and more in a single call.

  2. 02

    Find apartments

    This capability searches for short-stay apartments mapped in OSM. It returns names, phone numbers, websites, and coordinates.

  3. 03

    Find budget stays

    This capability finds guest houses, motels, and campsites. You can filter by specific types or use a distance radius around a coordinate.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through OpenStreetMap + Russian Wikipedia.

  1. 04

    Find hostels

    This capability accesses the mapped subset of Moscow hostels. It provides contact info and addresses for budget travelers.

  2. 05

    Find hotels

    This capability searches for hotels by name, star rating, or proximity to a location. It includes phone numbers, websites, and addresses.

  3. 06

    Hotels wiki

    This capability pulls hotel information from Russian Wikipedia. You can request a summary for the first hotel in a list.

Real work

What teams actually run

01

Luxury Planning

Find all 5-star hotels within a few kilometers of a specific theater or museum.

02

Budget Routing

Locate hostels or campsites on the city outskirts for low-cost stays.

03

City Overview

Get a quick count of how many hotels or apartments are mapped in the city.

04

Historical Research

Retrieve Wikipedia summaries for famous Moscow hotels.

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

923ms average. Fast in production.

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

Daily averagePeak 1011ms
Oct 3Today
Fastest day
746ms
Slowest day
1011ms
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_vESFVpM2nb6patRl1yzvslFB28IZWHk9ovSNfoPy/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-hotels-hostels-stays-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vESFVpM2nb6patRl1yzvslFB28IZWHk9ovSNfoPy/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 specific lodging data in Moscow without manual searching.

  • 01

    Travelers

    Use it to compare hotel ratings and locations near their destinations.

  • 02

    Travel Hosts

    Advise visitors on which five-star or budget options are within walking distance of local venues.

  • 03

    Logistics Planners

    Get quick counts of available accommodation types for citywide planning.

FAQ

Questions OpenStreetMap + Russian Wikipedia owners ask.

  • 01

    Does this MCP include all hotels in Moscow?

    It includes about 500 mapped hotels. Not every hotel is tagged with a star rating, so star filters only show hotels that have that data.

  • 02

    Can I find hostels near me?

    Yes, you can use the find_hostels capability to search by name or by a specific distance from a coordinate.

  • 03

    Where does the data come from?

    The data is sourced from OpenStreetMap and Russian Wikipedia.

  • 04

    How do I find apartments?

    Use the find_apartments capability. Note that apartment tagging in OSM can be inconsistent, so not all short-stay flats will appear.

  • 05

    Can I find campsites?

    Yes, the find_budget_stays capability includes campsites, which are mostly located around the city's outer ring.

  • 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

    Can I book through this MCP?

    No. This is the mapped inventory. locations, names, phones, websites, star ratings. Booking happens on the hotel site or an aggregator.

  • 08

    Why is the star filter not exhaustive?

    Not every mapped hotel carries a star tag in OSM. The filter keeps only the ones that do, so a "5-star" search shows the mapped five-star hotels, not every five-star hotel in the city.

  • 09

    Can I find hotels near a venue?

    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