How to Use the TransportAPI MCP in Vercel AI SDK

Q: What service disruptions can TransportAPI help with using Vercel AI SDK?

Your agent uses getupdates to check current alerts across bus, rail, and tram services. It pulls real-time disruption descriptions and alternative route recommendations before the user starts their trip.

Show live transit data to your users with Vercel AI SDK.

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…and any MCP-compatible client

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Connect TransportAPI MCP to Vercel AI SDK

Create your Vinkius account to connect TransportAPI to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TransportAPI with Vercel AI SDK

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Display real-time bus arrivals

When a user asks, "What's coming next at the stop?", use `get_bus_arrivals`. This tool gives you line names, numbers, and precise ETAs. Since your AI client streams results directly to the UI, the data appears live, eliminating loading spinners. You can also track departures using `get_bus_departures`, which covers all services across Great Britain. The speed of seeing this real-time transit data is key for a good user experience.

Plan complex multimodal journeys

Your app needs to handle trips that combine buses, trains, and walking paths. Call `get_journey_plan` when users ask "How do I get from A to B?". This function returns a full itinerary with total duration, changes, and mode details. The ability for your agent to stream this entire multi-leg journey plan makes the app feel incredibly fast. You'll see the steps appear instantly as they calculate.

Monitor all rail movements

To cover the whole UK, you need train arrival and departure data. Use `get_rail_arrivals` to track incoming trains at any station, providing platforms and delay notices. Similarly, `get_rail_departures` gives immediate updates on what's leaving. The resulting stream from this MCP Server is perfect for your frontend. It ensures that when you update a departure board in React, the data change appears live to the user.

Setup guide

Set up TransportAPI MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all TransportAPI tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent TransportAPI transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

The MCP Server exposes tools directly to your Vercel AI SDK client. This means when your agent calls a function like `get_bus_arrivals`, the results stream immediately into your frontend UI, giving users real-time visibility.

This server handles all public transport metadata, including service disruptions, station names, and scheduled bus/rail services. Specifically, it touches detailed stop metadata when you use `search_stops`.

Absolutely. You can feed the multimodal journey planning tool into your client. The `get_journey_plan` function handles combinations of bus, rail, tram, and walking legs across Great Britain.

Yes. Because it's built to stream data directly into your client, you get maximum speed. You don't have to wait for a loading spinner; the user sees the transit data appearing as it’s processed.

Your agent uses `get_updates` to check current alerts across bus, rail, and tram services. It pulls real-time disruption descriptions and alternative route recommendations before the user starts their trip.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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