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Vinkius runs on Cursor

How to Use the TransportAPI MCP in Cursor

Live UK transport context injected directly into your code using Cursor and TransportAPI Alternative.

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Works with every AI agent you already use

…and any MCP-compatible client

TransportAPI MCP on Cursor AI Code Editor MCP Client TransportAPI MCP on Claude Desktop App MCP Integration TransportAPI MCP on OpenAI Agents SDK MCP Compatible TransportAPI MCP on Visual Studio Code MCP Extension Client TransportAPI MCP on GitHub Copilot AI Agent MCP Integration TransportAPI MCP on Google Gemini AI MCP Integration TransportAPI MCP on Lovable AI Development MCP Client TransportAPI MCP on Mistral AI Agents MCP Compatible TransportAPI MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect TransportAPI MCP to Cursor

Create your Vinkius account to connect TransportAPI to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Inject live journey planning data.

Writing a function that needs to calculate travel time? Use `plan_public_transport_journey` via the agent. The AI calls this tool, gets real-world results (times and changes), and injects them directly into your code block. No mock stubs needed. This is perfect for building APIs that depend on external, live transit data without having to manage API keys or manual fetching logic.

Fetch real-time departure arrays.

Need a function that reads the next 10 departures? The agent mode can call `get_live_train_departures` and feed an array of live departure objects into your script. You'll get destinations, times, and operators for major UK stations. Similarly, you can use `get_live_bus_departures` to populate a bus schedule widget in your code with current data.

Build fare comparison tools.

When writing travel booking logic, the agent handles pricing calls. Calling `get_train_fares` lets you build comparison features that pull actual ticket costs between two stations. You can also get general location data by calling `get_nearby_transport_places`, letting your code dynamically populate maps or dropdowns with nearby points of interest.

Setup guide

Set up TransportAPI MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the TransportAPI MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent TransportAPI transactions." If the MCP tools are loaded correctly, Cursor will call the TransportAPI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "transportapi-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TransportAPI. 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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Common questions about TransportAPI MCP in Cursor

You configure the server in `.cursor/mcp.json`. When you enable Agent mode, the AI recognizes and uses these tools as live context while writing code. It runs `plan_public_transport_journey` and writes the resulting data structure right into your file.
Use `get_nearby_bus_stops`. Just pass the GPS coordinates, and the agent returns an array of nearby stops. You can then write code that iterates over this data set to build out your application's map layer.
Yes. The tool `get_train_station_timetable` allows the agent to fetch structured, scheduled timetables for any given station. This data is then available for your code to process and display.
It does via `get_train_fares`. The agent uses this tool when writing logic that requires comparing the cost of travel between two different stations, ensuring your code works with current market data.
The server touches geographical coordinates and transport infrastructure metadata. Tools like `get_nearby_transport_places` provide the foundational data needed to pinpoint any type of transit facility near a given set of GPS points.

Start using the TransportAPI MCP today

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