• SEARCH
  • ROUTE
  • STOPS
  • HUMAN

How to plan multimodal London trips with your AI

Connect the TfL MCP to your AI client to navigate London using walking, cycling, and transit.

Ask AI about this page

Short answer

How do I plan complex London trips with AI?

Your AI uses TfL data to calculate routes that mix walking, cycling, and various transit modes. You'll get specific station details and multi-step itineraries. This breakdown shows how it works.

The results you get

Where your planning lands

The AI processes your request into actionable travel data.

SEARCH

Found locations

The AI identifies specific stops or landmarks to use as your start or end points.

ROUTE

Custom itineraries

You get a sequence of transit, walking, or cycling legs to reach your destination.

STOPS

Station details

The AI pulls specific information about transit stops to help you manage transfers.

HUMAN

Your final choice

You review the suggested routes and pick the one that fits your schedule.

The workflow

What your AI does when the request arrives.

The AI uses specific tools to pull live data from the London transport network.

  1. Locate places

    The AI finds the specific addresses or station names you need for your trip.

    get_place_search

  2. Get station info

    It retrieves specific details about transit stops to ensure your route is viable.

    get_stop_point_details

  3. Build the journey

    The agent calculates the path between your points using various transport modes.

    get_journey

  4. Refine the route

    The AI uses journey data to suggest the best way to combine walking or cycling with transit.

    get_journey

Try it

Copy these to start.

Paste these into your chat to begin planning.

Starting points

Replace the bracketed text with your actual locations or station names.

TfL Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GmLG2WU1NqSwa6Bxkk9PyS9BTTgnPpbkfTXlka31/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 — TfL capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tfl-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GmLG2WU1NqSwa6Bxkk9PyS9BTTgnPpbkfTXlka31/mcp"
    }
  }
}
Copy into chat04

  • Plan a trip from [Station A] to [Station B] using the Tube and walking.

  • Find the best cycling route from [Location] to [Location].

  • What are the details for the stop point at [Station Name]?

  • Show me a route from [Address] to [Address] that includes a bus leg.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect TfL once, then ask.

Connect the MCP to your AI client in one click. Your login stays encrypted, and you can immediately start asking about London transit.

Connect TfL to your AI

FAQ

How the task behaves

  • 01

    Can the AI book a train ticket for me?

    No. The AI only retrieves route and station data. You must book tickets through TfL or a provider.

  • 02

    Can it see my live GPS location?

    No. The AI only knows the locations you explicitly type into the chat.

  • 03

    Does it support cycling routes?

    Yes. It can calculate routes that combine cycling with other transit modes.

  • 04

    Can the AI pay for my Oyster card top-up?

    No. The AI has no access to your payment methods or personal accounts.

  • 05

    Can it tell me if a specific bus is running late?

    Yes, it can pull transit data to help you understand the journey.

  • More questions about TfL? The Connector page answers them. See everything the TfL Connector can do

Connect TfL to Claude, Cursor, ChatGPT & more