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Connect Ratp Stations Ridership Network Amenities 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. Get instant access to ridership, amenities, and air quality metrics.

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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.

How Vinkius works: one connection, every tool, in any AI
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.

Complete set · 8 capabilities

The complete RATP Open Data capability set.

These are the exact actions your AI can choose when you ask it to work with RATP Open Data.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through RATP Open Data.

  1. 01

    Station ridership ranking

    Rank Paris Metro and RER stations by their annual entry counts. You can filter by network type and specify how many top stations to return.

  2. 02

    List station shops

    Find approved proximity shops located near RATP stations. You can filter by specific trade types like boulangerie or café tabac.

  3. 03

    Air quality station

    Get hourly air quality readings for specific monitored stations. This includes data on NO2, CO2, temperature, and humidity.

  4. 04

    Get station ridership

    Retrieve the annual ridership numbers for a single specific station. You must use the exact station name as it appears in the network.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through RATP Open Data.

  1. 05

    La defense peak smoothing

    Access data from the La Défense peak-smoothing experiment. Use this to compare hub frequencies between regular weekdays and weekend types.

  2. 06

    List defibrillators

    Locate AED defibrillators within the RATP network. You can filter by station, commune, or availability.

  3. 07

    List restrooms

    Find public restrooms inside the network. Filters allow you to search by line, accessibility, or whether the facility is free.

  4. 08

    List water fountains

    Identify water fountains located within the RATP network. You can filter results by specific metro lines or postal codes.

One connector, every AI

RATP Open Data 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 RATP Open Data 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.

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 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 RATP Open Data, so you can see the experience inside your AI.

It does not authenticate your account with RATP Open Data. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

RATP Open Data Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ktxG0LNiNbvY9ZqzWZaPc9bw49CWjm0LppxpTmYc/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 — RATP Open Data capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ratp-stations-ridership-network-amenities-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ktxG0LNiNbvY9ZqzWZaPc9bw49CWjm0LppxpTmYc/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? How to give Claude access to RATP Open Data

See all the AI clients this connector works with ↑

Who it's for

Built for the work RATP Open Data owners hand off.

This MCP is built for professionals and travelers interacting with the Paris transit system.

  • 01

    Urban Planners

    They use ridership and peak-smoothing data to model passenger movement.

  • 02

    Transit Researchers

    They pull air quality and station amenity data for environmental studies.

  • 03

    Travelers

    They ask their AI client to find essential services like water or restrooms while on the move.

FAQ

Questions RATP Open Data owners ask.

  • 01

    Which stations have air quality monitoring?

    Air quality data is available for Châtelet, Auber, Franklin D. Roosevelt, Saint-Germain des Prés, Iéna, Nation, and Luxembourg.

  • 02

    Can I filter restrooms by accessibility?

    Yes, you can use the list_restrooms capability and filter by the PMR parameter to find accessible facilities.

  • 03

    How is ridership data calculated?

    The station_ridership_ranking capability provides annual entry counts for stations in the Metro and RER networks.

  • 04

    Is the shop data official?

    Yes, the list_station_shops capability provides data on approved proximity shops located near RATP stations.

  • 05

    What if I need a specific station name for ridership queries?

    You should use the station_ridership_ranking capability first to find the exact uppercase station name required for other capabilities.

  • 06

    Do I need an API key?

    No. data.ratp.fr serves all RATP datasets anonymously over its Opendatasoft REST API. This MCP defines no credentials and needs nothing configured.

  • 07

    Which stations have air-quality data?

    Seven monitored metro/RER stations: chatelet, auber, franklin-d-roosevelt, saint-germain-des-pres, iena, nation and luxembourg. air_quality_station returns the hourly readings at one of them over a lookback window; any other station name is rejected with the list of valid values.

  • 08

    Are the ridership figures current?

    They are annual aggregates published by RATP, not live counts. station_ridership_ranking and get_station_ridership read the published per-station annual entry figures; use them for comparisons, not for today's occupancy.

  • 09

    What is the La Défense peak-smoothing experiment?

    A transport-demand management experiment at the La Défense business district shifting morning peaks; la_defense_peak_smoothing returns its published rows, filterable by type_jour (weekday vs weekend).

Explore

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