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TfL MCP. Get live status for every tube line and bus stop.

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Transport for London MCP on Cursor AI Code Editor MCP Client Transport for London MCP on Claude Desktop App MCP Integration Transport for London MCP on OpenAI Agents SDK MCP Compatible Transport for London MCP on Visual Studio Code MCP Extension Client Transport for London MCP on GitHub Copilot AI Agent MCP Integration Transport for London MCP on Google Gemini AI MCP Integration Transport for London MCP on Lovable AI Development MCP Client Transport for London MCP on Mistral AI Agents MCP Compatible Transport for London MCP on Amazon AWS Bedrock MCP Support

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Transport for London MCP Server provides live transit data across all London modes. Use it to check Tube line status, predict bus arrivals at any stop, plan multi-step journeys between addresses, and locate bike docks or report road disruptions instantly.

What your AI agents can do

Get arrivals

Provides live predictions for buses arriving at a specific stop ID.

Get bike point detail

Pulls detailed information about one specific bike docking station location.

Get bike points

Searches for nearby cycle docks and reports available bikes and empty docks.

+ 8 more capabilities included
Plan multi-modal trips

Calculates optimal routes between two points, providing estimated travel time, cost, and required changes.

Check real-time line health

Retrieves the current status (Good Service, Delays, Suspended) for any specific Underground or tram line.

Predict bus arrivals

Uses a stop ID to get live predictions for the next few buses arriving at that location.

Map road traffic status

Returns current information on major London roads, noting congestion severity and known disruptions.

Locate cycle docking stations

Searches for nearby bike points, providing the count of available bikes and empty docks.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Transport for London: 11 Tools for Urban Mobility Data

These tools cover every aspect of London travel—from checking individual bus arrival predictions to mapping major road congestion and planning complex multi-stage journeys.

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get arrivals

Provides live predictions for buses arriving at a specific stop ID.

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get bike point detail

Pulls detailed information about one specific bike docking station location.

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get bike points

Searches for nearby cycle docks and reports available bikes and empty docks.

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get journey

Plans a complete route between two locations, detailing changes, cost, and total time.

get019d848c

get line detail

Gets detailed operational information for any specific TfL line (tube, tram, etc.).

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get line routes

Returns the ordered list of all stations served by a given tube or rail line.

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get line status

Checks the real-time service status (Good/Minor/Severe Delay) for specified Tube lines.

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get road disruptions

Reports current major road disruptions, including severity and expected clearance times.

get019d848c

get road status

Checks the live congestion level (Good/Minor/Severe) for London's main roads.

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get stop details

Retrieves metadata and ID details for a specific bus stop or station name.

search019d848c

search stop

Finds matching transit stops, returning their unique IDs, locations, and routes.

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What you can do with this MCP connector

This server gives your agent real-time data across every mode of transport in London, from the Underground to bikes and major roads. You use it to plan trips, check line health, predict bus arrivals, or map traffic jams.

Trip Planning & Location Services

To start a journey, you call get_journey. It calculates an optimal route between any two addresses you give it, providing the estimated travel time, how much money it'll cost, and exactly how many transfers you gotta make. If you just need to find a stop or station name first, you run search_stop.

That tool finds matching transit stops, giving you their unique IDs, exact locations, and all the routes that pass through them.

Once you have an ID, you use get_stop_details to pull up metadata for specific bus stops or stations. This gives context about the location itself, not just its coordinates.

Underground & Rail Status

When you gotta check if a line's running smooth, you hit get_line_status. You give it specific Tube lines, and it checks their current service status—Good Service, Minor Delay, Severe Delay, or Suspended. For deeper details on any particular TfL rail line (tube or tram), you use get_line_detail to pull its full operational profile.

If you need to know every single station that runs along a given line, get_line_routes returns the complete, ordered list of all stations served by that specific tube or rail line.

Surface Transit (Buses)

When you're waiting for a bus, you use search_stop to get the correct ID for your location. Then, running get_arrivals uses that stop ID to give live predictions on when the next few buses will arrive. You don’t have to guess; it tells you exactly what’s coming and when.

Road Traffic & Disruptions

To check how bad the traffic is right now, you call get_road_status. It gives current congestion levels for London's main roads—Good, Minor, or Severe. If there's a major incident blocking travel, you use get_road_disruptions. This tool reports every current major road disruption, including how bad it is and when they expect to clear the area.

Cycling Infrastructure

For bike commuters, this server tracks dock availability. You run get_bike_points to search for cycle docks nearby. It immediately tells you the count of available bikes and how many empty docks are standing by at that location. If you need deep info on a single docking station, use get_bike_point_detail. That tool pulls all the specific details about one bike dock ID you provide.

How TfL MCP Works

  1. 1 You initiate a query asking about London transit (e.g., 'What's the status of the Northern line?').
  2. 2 Your AI client identifies the necessary tool and calls it, passing required parameters like specific station names or stop IDs.
  3. 3 The server returns structured data—like delay times or route options—which your agent uses to generate a simple, conversational answer.

The bottom line is you talk naturally, and the agent handles the complexity of London's public transit API structure.

Who Is TfL MCP For?

Anyone who relies on getting from point A to point B in London. This means mobile app developers building city guides, operational managers coordinating field crews, or just a commuter tired of checking five different websites for delay updates.

Mobile App Developer

Builds location-aware services by calling get_journey and using search_stop to build out robust trip planning features.

Logistics Coordinator

Manages field crews that need reliable, real-time knowledge of road closures or Tube delays via get_road_disruptions before dispatching teams.

Tourism Planner

Creates daily itineraries for groups using the combined data from get_arrivals, get_line_detail, and get_bike_points to suggest multimodal routes.

What Changes When You Connect

  • Stop guessing about delays. The get_line_status tool gives immediate, real-time health reports on every Tube line you need to know about.
  • No more manual searches: Use search_stop first to get a precise ID, then pass that ID to get_arrivals for accurate bus predictions at any location.
  • Plan complex trips in one go. The get_journey tool handles the entire routing process—from multiple transfers to calculating the fare cost.
  • Know what's happening on the surface and below. You can check major road congestion with get_road_status or look for subway failures with get_line_status simultaneously.
  • Multimodal planning is simple. The server covers trains, buses (get_arrivals), roads (get_road_disruptions), and even cycle paths (get_bike_points).
  • The system gives you structured data points that are easy for your AI client to consume, meaning the output isn't a wall of JSON.

Real-World Use Cases

01

Rerouting due to unexpected closures

A logistics manager needs to move staff across London. They ask their agent: 'What’s the best route from Paddington to Canary Wharf, assuming road closures?' The agent runs get_road_disruptions first, then uses that data to feed into get_journey, providing an alternate route via Tube lines instead of a congested bridge.

02

Optimizing a tourist itinerary

A tour guide needs to plan three stops for the day. They ask: 'Plan a trip that hits the British Museum and Westminster, using only reliable public transport.' The agent uses search_stop to find IDs, then runs get_line_details and get_journey, giving the optimal path while avoiding known minor delays.

03

Checking for a connection delay

A commuter is leaving an office building. They ask: 'I'm at Queen Victoria station. Is my train running, and what's the next bus after it?' The agent checks get_line_status first, then uses that status to inform the optimal exit strategy by calling get_arrivals.

04

Developing a 'last mile' mobility tool

A developer needs to build an app for short-distance trips. They use get_bike_points to show nearby docks and then use the location data in conjunction with get_stop_details to provide a complete, bike/bus handover plan.

The Tradeoffs

Treating all status checks as one endpoint

Asking 'Tell me about London travel' and hoping the agent magically knows if I need to check road traffic, train delays, AND bike availability. It won't.

Be specific with your tools. If you need Tube status, call get_line_status. If you need car congestion, use get_road_status and specify the area.

Forgetting to identify a stop ID first

Asking 'What time does the bus arrive at Oxford Circus?' without providing the specific stop ID. The agent fails because it can't pinpoint the exact physical location.

Always start by calling search_stop with the general area name to retrieve the precise ID, then use that returned ID in get_arrivals.

Assuming a direct route exists

Asking 'Drive from A to B' and getting confused when the agent returns public transport options. The tools are for transit, not driving directions.

For walking or cycle routes, use get_journey. If you need car-specific travel advice, check get_road_status first, but understand this server is primarily focused on mass transit.

When It Fits, When It Doesn't

Use this if your core requirement involves real-time public movement data in London. Specifically, use it when you need to calculate a trip path (get_journey), check the current operational status of infrastructure (lines via get_line_status, roads via get_road_status), or predict immediate arrivals (get_arrivals). Don't use this if your goal is historical data retrieval (e.g., 'What was the delay last Tuesday?') or general knowledge (e.g., 'How big is London?'). For static location information, simple web searches are fine. But for any trip planning, you need the granular power of search_stop and get_journey to stitch together a reliable plan.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Transport for London. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_arrivals get_bike_point_detail get_bike_points get_journey get_line_detail get_line_routes get_line_status get_road_disruptions get_road_status get_stop_details search_stop

Checking London transit used to mean opening five different tabs.

Today, figuring out a simple journey requires jumping between multiple sites: checking the Tube status page for delays, then going to Google Maps to see road closures, and finally using a separate bus tracker site for arrival predictions. It's tedious, slow, and often gives conflicting information.

With this MCP server, your agent handles it all in one go. You ask about a journey, and the system runs `get_line_status`, checks `get_road_disruptions`, and calculates the full route via `get_journey`. The result is immediate, consolidated, and actionable.

Using get_journey: Getting your trip plan in seconds.

Before this, planning a multi-leg journey meant manually looking up the nearest station, then checking its service status, estimating the walk time, and finally calculating the fare. It was a messy spreadsheet process that always felt incomplete.

Now, you just ask your agent to 'Plan a trip from X to Y.' The tool runs all necessary checks—including walking distance and line transfers—and hands you a complete, structured itinerary right in your chat.

Common Questions About TfL MCP

Do I need an API key? +

No! TfL's Unified API is completely free and open. No authentication required.

What transport modes are covered? +

TfL covers: Tube (Underground), Overground, DLR, Elizabeth line, Tram, Bus, River Bus, Santander Cycles (Boris Bikes) and major roads across London.

Can I plan a journey between two locations? +

Yes! Use get_journey with origin and destination (station names, addresses or postcodes). Returns multiple route options with duration, changes, walking distance and step-by-step directions.

Can I check live bus arrivals? +

Yes! First use search_stop to find the stop ID by name, then use get_arrivals with that stop ID to get real-time bus arrival predictions.

How do I check for current major road status using the `get_road_status` tool? +

The get_road_status tool shows if London's major roads have Good, Minor, or Severe congestion. This helps you immediately gauge traffic levels before starting a journey.

What information does the `get_bike_points` tool provide? +

The get_bike_points tool returns availability data for Santander Cycle docks, including how many bikes and how many docks are free. You can use this to find nearby cycling stations.

Before I use the `get_arrivals` tool, how do I find a bus stop ID? +

You must first run the search_stop tool. This searches by name and returns matching stops with their required IDs, locations, and service routes for later queries.

How can I check the real-time status of all Tube lines using the `get_line_status` tool? +

The get_line_status tool gives you immediate feedback on whether each tube line is running with Good Service, Minor Delays, Severe Delays, or if it's Suspended. You can check specific lines by listing their IDs.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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