How to Use the WMATA MCP in Vercel AI SDK

Q: How do I check WMATA bus incidents with the Vercel AI SDK?

You call getbusincidents. The MCP Server streams incident descriptions, affected route IDs, and detour information directly to your client. You can then render this data point-by-point in your UI.

Q: Can the Vercel AI SDK handle WMATA Metrorail delays?

Absolutely. Use getrailincidents to get service disruption awareness for Metrorail. The stream provides line impacts, affected station codes, and severity indicators so you can update your user's view instantly.

Q: What data type does the WMATA MCP Server touch regarding accessibility?

The server touches station accessibility data through getelevatorincidents. This tool returns affected station codes, outage descriptions, and estimated repair times for elevators and escalators.

Q: How do I list all bus routes using the Vercel AI SDK?

Call getbusroutes to get a complete list of route IDs, names, and descriptions. This initial data set helps your application map out the entire WMATA network structure for users.

Q: Do I need station codes when querying WMATA train predictions with the Vercel AI SDK?

Yes. You must use getrailstations first to find the required 3-letter station code. Then, you pass that specific code into getstationprediction for accurate results.

Stream real-time WMATA transit data into your React, Next.js, or Svelte frontend using the Vercel AI SDK.

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Connect WMATA MCP to Vercel AI SDK

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Setup WMATA with Vercel AI SDK

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Live Bus Tracking for Users

Use `get_bus_positions` to fetch bus vehicle IDs and live lat/long coordinates. When a user asks where the X2 is, your agent streams the current location data directly into the map component without waiting for a loading state. This real-time stream lets users see exact deviation from schedule in seconds. It's perfect for building passenger-facing apps that need immediate visual feedback.

Incident Management with MCP Server

Your AI client calls `get_rail_incidents` to pull current Metrorail service disruptions. The streamed output includes affected station codes, line impacts, and severity indicators. This data feeds directly into a trip planner UI that needs instant status updates. For bus delays, the agent uses `get_bus_incidents`. It streams incident descriptions, detour info, and alternative route recommendations so your frontend can display warnings immediately.

Predictive Arrival Boards

Need to know when the next train is? Call `get_station_prediction` with a station code. The result streams destination names, line colors, and predicted arrival times in minutes. This data makes excellent real-time display widgets for any transit app you build. You can show multiple lines arriving at Gallery Place instantly.

Setup guide

Set up WMATA 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 WMATA 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 WMATA 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 WMATA. 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 WMATA MCP in Vercel AI SDK

You call `get_bus_incidents`. The MCP Server streams incident descriptions, affected route IDs, and detour information directly to your client. You can then render this data point-by-point in your UI.

Absolutely. Use `get_rail_incidents` to get service disruption awareness for Metrorail. The stream provides line impacts, affected station codes, and severity indicators so you can update your user's view instantly.

The server touches station accessibility data through `get_elevator_incidents`. This tool returns affected station codes, outage descriptions, and estimated repair times for elevators and escalators.

Call `get_bus_routes` to get a complete list of route IDs, names, and descriptions. This initial data set helps your application map out the entire WMATA network structure for users.

Yes. You must use `get_rail_stations` first to find the required 3-letter station code. Then, you pass that specific code into `get_station_prediction` for accurate results.

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