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Use Navitia with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access European public transit via Navitia. plan multimodal journeys, check schedules, track disruptions, and explore transit networks from any AI agent.

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 11 capabilities

The complete Navitia capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through Navitia.

  1. 01

    Get coverage

    Shows which cities and metropolitan areas are covered, data freshness indicators, and the contributing transit authorities for each region. Essential for discovering which transit networks are accessible through the API, validating region IDs for subsequent queries, understanding data coverage scope, and planning integration scope. AI agents should use this when users ask "what cities does Navitia cover", "show me all available transit regions", or need to identify the correct region ID (e.g., "fr-idf" for Paris/Ile-de-France) before making region-specific queries for lines, disruptions, or journeys. List all available coverage regions in the Navitia platform

  2. 02

    Get isochrone

    Returns GeoJSON polygon boundaries, reachable area statistics, travel time bands, and accessibility metrics. Essential for urban planning, real estate location analysis, accessibility studies, job market research, school catchment analysis, and understanding transit connectivity. AI agents use this when users ask "what area can I reach within 30 minutes by metro from this address", "show me the accessible zone in 45 minutes by public transport", or need to analyze geographic accessibility from a specific location for housing, employment, or service planning. Generate an isochrone map showing reachable area from a point within a time limit

  3. 03

    Get lines

    Returns lines with codes, names, network affiliations, physical modes (metro, bus, tram, RER, rail), commercial modes, colors, text colors, route counts, and operational information. Covers metro systems (RATP Paris, TCL Lyon, TCL Marseille), bus networks, tramway systems, RER lines, Transilien suburban rail, and regional TER services across France. Essential for transit network exploration, line identification, route planning context, network analysis, and understanding service coverage by mode type. AI agents should use this when users ask "list all metro lines in Paris", "show me all tram lines in Lyon", or need line metadata to understand transit network structure and operator affiliations. List all transit lines in a coverage region

  4. 04

    Get stop schedule

    Returns all scheduled departures with routes, destinations, first and last departure times, service frequency, headway signatures (days of operation), and physical/commercial mode information. Shows complete timetable structure including weekday, weekend, and holiday service patterns. Essential for comprehensive schedule analysis, journey planning at specific times, timetable visualization, and understanding service frequency throughout the day. AI agents should use this when users ask "show me the full timetable for this metro station", "what times does this bus run on Sundays", or need complete schedule data for a transit stop. Supports depth parameter to control level of detail in route and destination information. Get full timetable for a specific transit stop

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through Navitia.

  1. 05

    Search places

    Returns transit stops (stop areas, stop points), stations (metro, tram, bus, rail), addresses, administrative areas, and points of interest with their IDs, names, coordinates, types, and administrative information. Supports autocomplete-style search for journey planning interfaces and location discovery. Essential for stop discovery, address resolution, geocoding, journey origin/destination identification, and building location-based transit features. AI agents should use this when users ask "find the metro station near Champs-Elysees", "search for stops called Republique", or need to identify place IDs and coordinates for use in journey planning queries. Results include embedded links to departures, schedules, and nearby objects for further exploration. Search for transit stops, stations, addresses, and POIs by name

  2. 06

    Get arrivals

    Returns list of arriving services with line names and codes, origins, scheduled and real-time arrival times, platform information, delay indicators, and mode types. Essential for passenger pickup coordination, arrival monitoring, connection planning, and real-time arrival boards. AI agents use this when users ask "when does the next train arrive at this station", "show incoming services at stop X", or need to track arriving services for passenger coordination. Supports both theoretical schedules and real-time arrival predictions when operator data feeds are available. Get upcoming arrivals at a specific transit stop

  3. 07

    Get departures

    Returns list of departing services with line names and codes, destinations, scheduled and real-time departure times, platform or bay information, delay indicators, direction codes, and physical/commercial mode types (metro, bus, tram, RER, Transilien). Supports real-time data when available from operators. Essential for passenger information displays, departure boards, real-time transit monitoring, and journey planning. AI agents should reference this when users ask "when is the next metro from this station", "show departures from stop ID X", or need to monitor upcoming services at a known transit stop. Use data_freshness parameter to choose base_schedule (theoretical timetable) or realtime (including disruptions and delays). Get upcoming departures from a specific transit stop

  4. 08

    Get disruptions

    Returns active disruptions with affected lines, routes, stops, and networks, disruption descriptions, severity levels (minor, major, blocking), start and end timestamps, cause types (incident, maintenance, strike, weather), impact descriptions, and detour or alternative service recommendations. Covers all modes including metro, bus, tram, RER, Transilien, and regional rail across French and European networks. Essential for disruption awareness, passenger communication, journey reliability monitoring, and travel planning during service changes. AI agents should reference this when users ask "are there any disruptions on the Paris metro", "is there a strike on SNCF trains", or need to check service reliability before planning journeys. Get active service disruptions and alerts for a transit region

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through Navitia.

  1. 09

    Get nearby stops

    Returns nearby objects sorted by distance with coordinates, names, types (stop point, stop area, station, address, POI), distances from search point, served lines, and administrative information. Essential for location-based transit discovery, "stops near me" features, geographic transit analysis, multimodal connection identification, and traveler navigation. AI agents use this when users ask "what metro stations are near my current location", "find transit stops within 500m of these coordinates", or need to discover accessible transit options from a specific geographic point. Supports filtering by object type (stop_point, stop_area, poi, address) and adjustable search radius. Find transit stops near a geographic coordinate

  2. 10

    Get networks

    Returns network information including names, codes, contributing authorities, coverage areas, associated lines and routes, and operational status. Covers major operators like RATP (Paris metro/bus/tram), SNCF (RER/Transilien/TER), TCL (Lyon), RTM (Marseille), TCL (Toulouse), and dozens of regional and local operators across France. Essential for operator research, network scoping, regional transit analysis, and understanding service governance structure. AI agents should reference this when users ask "what operators run transit in Paris", "list all networks in Ile-de-France", or need to identify transit operators for a specific region before querying lines or disruptions. List all transit operators and networks in a coverage region

  3. 11

    Plan journey

    Supports combining public transit (metro, bus, tram, regional trains, high-speed rail), walking, cycling, car, bike-sharing (Vélib), and ridesharing. Returns complete itineraries with departure and arrival times, total duration, number of transfers, detailed legs with mode types, line names, operators, intermediate stops, walking distances, real-time disruption alerts, accessibility information (wheelchair access), and fare estimates. Essential for travel planning, multimodal route comparison, passenger information systems, and Mobility-as-a-Service applications across France and European cities. AI agents should use this when users ask "how do I get from Gare du Nord to Eiffel Tower", "plan a trip from Lyon Part-Dieu to Marseille", or need multimodal journey options with timing, transfers, and accessibility details. Supports traveler profiles including wheelchair, slow walker, fast walker, and luggage. Plan a multimodal trip between two locations in France or Europe

Observed, not estimated

902ms average. Fast in production.

Navitia is checked daily against the live service.

Daily averagePeak 1056ms
Aug 20Today
Fastest day
746ms
Slowest day
1056ms
14-day trend
Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 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 Navitia, so you can see the experience inside your AI.

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

Navitia Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_sZYyyHXmDgjdOwPDJSWCi0WhvcdqjuoBTFhZ2RMS/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 — Navitia capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "navitia-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_sZYyyHXmDgjdOwPDJSWCi0WhvcdqjuoBTFhZ2RMS/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

FAQ

Questions Navitia owners ask.

  • 01

    Can my AI plan a complete multimodal trip from a Paris metro station to a suburb using public transit?

    Yes! Use the plan_journey capability with the origin station name or coordinates (e.g., "Gare du Nord, Paris" or "2.3553;48.8800") and the destination (e.g., "La Defense, Puteaux" or coordinates). Navitia will return complete multimodal itineraries combining metro, RER, bus, tram, and walking with departure times, arrival times, total duration, number of transfers, detailed legs with line names and operators, walking distances, real-time disruption alerts, and accessibility information. You can specify traveler profiles including wheelchair access, slow walker, or luggage for tailored routing.

  • 02

    How do I check if there are any metro or bus disruptions affecting my planned route in Paris?

    Use the get_disruptions capability with the region parameter set to "fr-idf" for Ile-de-France (Paris region). This returns all active disruptions with affected lines, routes, stops, severity levels, cause types (incident, maintenance, strike, weather), start and end timestamps, and impact descriptions. You can also check disruptions directly within journey planning results, as Navitia automatically injects disruption information into journey responses. For station-specific checks, use get_departures which includes delay and cancellation indicators for individual services.

  • 03

    Can I generate an isochrone map to see what areas I can reach within 30 minutes by public transit from my hotel?

    Absolutely! Use the get_isochrone capability with your hotel coordinates as the origin and "1800" (30 minutes in seconds) as the max_duration parameter. Navitia will return a GeoJSON polygon showing all areas reachable within your time limit using public transit combinations. This is perfect for real estate location analysis, understanding neighborhood accessibility, job market research, and planning your accommodation based on transit connectivity. You can adjust the max_duration for different time ranges (1800 for 30min, 3600 for 1 hour).

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