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TransportAPI MCP Server for Windsurf 12 tools — connect in under 2 minutes

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Windsurf brings agentic AI coding to a purpose-built IDE. Connect TransportAPI through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Vinkius supports streamable HTTP and SSE.

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Classic Setup·json
{
  "mcpServers": {
    "transportapi": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
TransportAPI
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DLPData protection
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About TransportAPI MCP Server

Connect your TransportAPI UK public transport data platform to any AI agent and take full control of real-time bus and rail tracking, multimodal journey planning, and service disruption monitoring across Great Britain through natural conversation.

Windsurf's Cascade agent chains multiple TransportAPI tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

  • Real-Time Bus Tracking — Check upcoming departures and arrivals at any UK bus stop with ETAs and delay indicators
  • Rail Services — Monitor train arrivals, departures, and services at any UK rail station
  • Journey Planning — Plan door-to-door multimodal trips combining bus, rail, tram, underground, walking, and cycling
  • Stop Discovery — Search UK bus stops by name, address, or landmark with Naptan identifiers
  • Route Analysis — Get train route information between any two UK rail stations with calling points
  • Service Updates — Check real-time disruption alerts and operational notices across UK transport networks
  • Bus Timetables — Access complete timetables for any UK bus line with weekday/weekend patterns
  • Station Information — Get detailed UK rail station data including facilities, accessibility, and managing TOCs
  • Stop Details — Retrieve comprehensive bus stop information with served lines and accessibility features

The TransportAPI MCP Server exposes 12 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect TransportAPI to Windsurf via MCP

Follow these steps to integrate the TransportAPI MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using TransportAPI

Open Cascade and ask: "Using TransportAPI, help me...". 12 tools available

Why Use Windsurf with the TransportAPI MCP Server

Windsurf provides unique advantages when paired with TransportAPI through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

TransportAPI + Windsurf Use Cases

Practical scenarios where Windsurf combined with the TransportAPI MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from TransportAPI and generate models, types, or handlers based on real API responses

02

Live debugging: query TransportAPI tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from TransportAPI and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine TransportAPI data with Cascade's code generation to scaffold entire features in minutes

TransportAPI MCP Tools for Windsurf (12)

These 12 tools become available when you connect TransportAPI to Windsurf via MCP:

01

get_bus_arrivals

Returns list of arriving services with line names and numbers, origins, scheduled and real-time arrival times (ETA), expected wait times, direction, operator details, and any delay indicators. Essential for passenger pickup coordination, arrival monitoring, and real-time arrival boards. AI agents use this when users ask "when is the next bus arriving at this stop", "show incoming buses at stop X", or need to track arriving bus services for passenger coordination. Get real-time bus arrivals at a specific UK stop

02

get_bus_departures

Returns list of departing services with line names and numbers, destinations, scheduled and real-time departure times (ETD), expected wait times, direction, operator details, and any service disruption notices. Covers all bus services across Great Britain including London Buses, Transport for Greater Manchester, West Midlands, and regional operators. Essential for passenger information displays, departure boards, journey planning, and real-time transit monitoring. AI agents should reference this when users ask "when is the next bus from this stop", "show departures from stop ID X", or need to monitor upcoming bus services at a known UK bus stop. Get real-time bus departures from a specific stop in the UK

03

get_journey_plan

Supports multimodal trips combining bus, rail, tram, underground (tube), walking, and cycling. Returns complete itinerary with departure and arrival times, total duration, number of changes, legs with mode details (line name, operator, vehicle type), intermediate stops/stations, walking distances, and real-time disruption information. Essential for travel planning, multimodal journey optimization, passenger information systems, and UK-wide mobility applications. AI agents should use this when users ask "how do I get from London Victoria to Heathrow Airport", "plan a journey from Manchester Piccadilly to Old Trafford", or need door-to-door trip planning across UK public transport. Plan a multimodal journey between two UK locations

04

get_rail_arrivals

Returns list of arriving services with train operating companies, origins, scheduled and real-time arrival times (ETA), platforms, expected delays, cancellation status, and service type information. Covers all National Rail services. Essential for passenger pickup coordination, arrival monitoring, station management, and real-time arrival boards. AI agents use this when users ask "what trains are arriving at Kings Cross", "show incoming trains at Manchester Piccadilly", or need to track arriving rail services. Get real-time train arrivals at a specific UK rail station

05

get_rail_departures

Returns list of departing services with train operating companies, destinations, scheduled and real-time departure times (ETD), platforms, expected delays, cancellation status, calling points, and service type (express, local, sleeper). Covers all National Rail services across Great Britain. Essential for departure boards, journey planning, station operations, and passenger information. AI agents should use this when users ask "what trains are leaving Paddington", "show departures from Birmingham New Street", or need comprehensive departure listings for a UK rail station. Get real-time train departures from a specific UK rail station

06

get_rail_route

Returns available services, journey duration, number of changes, calling points, train operating companies, typical frequency, and first/last service times. Essential for rail journey planning, route comparison, travel itinerary preparation, and understanding rail connectivity. AI agents should reference this when users ask "what is the train route from London to Manchester", "show rail connections between Edinburgh and Glasgow", or need to understand rail service options between two UK stations. Get train route information between two UK rail stations

07

get_rail_services

Returns services with train operating companies (TOCs), destinations, origins, scheduled times, platforms, service types (express, local, sleeper), and any disruption information. Covers National Rail services across Great Britain. Essential for station information displays, service monitoring, rail journey planning, and operational awareness. AI agents should reference this when users ask "what services call at Euston", "show all trains at Edinburgh Waverley", or need comprehensive service listings for a UK rail station. Get all train services calling at a specific UK rail station

08

get_station_info

Returns station name, location (address, latitude, longitude), facilities (ticket office, ticket machines, waiting room, car park, cycle storage, WiFi, step-free access), staffing hours, managing train operating company, annual entry/exit statistics, and accessibility information. Essential for station planning, accessibility assessment, facility verification, and passenger information. AI agents should use this when users ask "tell me about Clapham Junction station", "does Euston have step-free access", or need detailed station metadata for UK rail journey planning. Get detailed information about a specific UK rail station

09

get_stop_info

Returns stop name, location (latitude, longitude, address, locality, landmark), common services, served lines, stop type (bus stop, bus station, coach station), accessibility features (wheelchair access, sheltered, seating), and operator information. Essential for stop identification, accessibility planning, transit network analysis, and passenger information. AI agents should use this when users ask "tell me about this bus stop", "what lines serve stop X", or need detailed stop metadata to contextualize transit queries. Get detailed information about a specific UK bus stop

10

get_timetable

Returns all scheduled services with departure times from origin through to terminus, stops served in sequence, journey duration variations by time of day, weekday/weekend/holiday service patterns, operator information, and any planned service changes. Essential for comprehensive schedule analysis, journey planning at specific times, service pattern research, and understanding bus frequency throughout the day. AI agents use this when users ask "show me the full timetable for bus route 73", "what times does the X59 run on Sundays", or need complete schedule data for a UK bus service. Get full timetable for a specific UK bus line

11

get_updates

Returns active alerts with affected lines, services, or operators, disruption descriptions, severity levels, expected duration, alternative route recommendations, and timestamps. Covers bus, rail, tram, and underground services across Great Britain. 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 Northern Line", "is there engineering work on Great Western Railway", or need to check service reliability before planning UK journeys. Get real-time service updates and disruption alerts for UK transport

12

search_stops

Returns matching stops with Naptan stop IDs, names, locations (latitude, longitude), served lines, localities, and stop types. Essential for stop discovery, journey planning interfaces, transit stop identification, and building location-based transit features. AI agents should use this when users ask "find the bus stop near Oxford Street", "search for stops called Piccadilly", or need to identify Naptan stop IDs for use in departure/arrival queries. Search for UK bus stops by name, location, or landmark

Example Prompts for TransportAPI in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with TransportAPI immediately.

01

"Show me all bus departures from Oxford Circus in the next 30 minutes."

02

"What trains are departing from London Paddington to Bristol in the next 2 hours?"

03

"Plan a journey from Manchester Airport to the city centre using public transport."

Troubleshooting TransportAPI MCP Server with Windsurf

Common issues when connecting TransportAPI to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

TransportAPI + Windsurf FAQ

Common questions about integrating TransportAPI MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect TransportAPI to Windsurf

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.