Chat with AI and use the interactive dashboard — no account needed.
Real-time London transport data — Tube line statuses, journey planning, live arrivals, bus routes, and Santander Cycles docking-station availability — powered by TfL Open Data.
No account needed. Search with the interactive app or chat with AI — both work side by side.
Browse all toolsDomain knowledge for London Transit — workflow patterns, data models, and gotchas for your AI agent.
Real-time data for London's entire public transport network. Powered by TfL Open Data.
An interactive map dashboard is available alongside this chat. When the app panel is open, your tool results are automatically forwarded to the map — do NOT call the app-open tool again. Just use the data tools below (get status, plan journey, search stops, etc.) and the map will update with the results rendered as map layers: tube lines as colored polylines, stations as markers, bike docks as colored circles, arrivals as floating boards.
940GZZLUVIC for Victoria Tube) or ICS codes (e.g. 1000248).timeToStation is in seconds.bakerloo, central, circle, district, hammersmith-city, jubilee, metropolitan, northern, piccadilly, victoria, waterloo-city, elizabeth.ics_id field from search results, e.g. 1000108 for Highbury & Islington). Also accepts NaPTAN IDs, Hub IDs (auto-resolved), or coordinates (lat,lon format as a string like 51.5074,-0.1278).matches with both id (Hub/NaPTAN) and ics_id (ICS code) fields. Use ics_id for journey planning.NbBikes, NbEmptyDocks, NbDocks./Arrivals endpoint returns predictions in arbitrary order — sorted by timeToStation in tool output.1000266 for Westminster) or NaPTAN IDs (940GZZLUWSM). Full stop names don't work — use search stops first.tube, dlr, overground, elizabeth-line, bus, tram, cable-car, river-bus.Tool calls are proxied directly to the TfL Unified API with light normalization (sorted arrivals, resolved Hub/ICS/NaPTAN IDs, filtered modes). No caching, no transformation of source values.
Live operational data for London's public transport network: Tube/DLR/Overground/Elizabeth line statuses and arrivals, bus routes and live arrivals, journey planner, stop and station metadata, and Santander Cycles docking-station availability.
Basemap tiles rendered by CARTO for the interactive map UI. Not used for any data lookup — display only.
Source availability last verified 2026-04-20.
Search for Santander Cycles (bike-share) docking stations in London by name or area. Returns station names, locations, and IDs. Use a search term to f...
Plan a journey between two points on the London transport network. Returns route options with duration, legs, line changes, departure/arrival times, a...
Get live arrival predictions for a specific TfL line, including London bus routes. Returns upcoming arrivals with station/stop names, platform, direct...
Get the current service status of one or more specific TfL lines, including London bus routes. Returns status severity, description, and disruption re...
Search for TfL stops and stations by name. Returns matching stops with their IDs (NaPTAN/ICS codes usable in journey planning), transport modes, zones...
Get live arrival predictions for a specific stop or station. Returns upcoming arrivals across all lines serving that stop, with platform, direction, d...
Get the current service status of all London Underground (Tube) lines, or any other TfL mode (DLR, Overground, Elizabeth line, bus, tram, etc.). Retur...
Real-time London transport data — Tube line statuses, journey planning, stop search, live arrival predictions, and Santander Cycles docking stations. Covers Tube, DLR, Overground, Elizabeth line, buses, trams, and river bus. Powered by TfL Open Data. It provides 7 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/london-transit. Authentication is handled automatically.
London Transit provides 7 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
London Transit uses open data APIs — no authentication required.
Connect London Transit to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
Same data, different audiences.
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