EMT Madrid (Open Data) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 4 tools to Get Bus Arrivals, List Bicimad Stations, Login, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EMT Madrid (Open Data) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The EMT Madrid (Open Data) MCP Server for Vercel AI SDK is a standout in the Government Public Data category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EMT Madrid (Open Data), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 EMT Madrid (Open Data) MCP Server
Connect to the EMT Madrid Open Data platform to bring Madrid's mobility network into your AI agent. This server provides direct access to official transport data for the city of Madrid.
The Vercel AI SDK gives every EMT Madrid (Open Data) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Real-time Bus Arrivals — Use
get_bus_arrivalsto see exactly when the next bus is reaching a specific stop using its unique ID. - BiciMAD Integration — Use
list_bicimad_stationsto check bike availability and empty docks across the city's electric bike-sharing system. - Route Planning — Use
plan_bus_routeto find the best way to navigate the city using the EMT bus network from any starting stop. - Official Data — Access the same data used by official apps to ensure accuracy in your mobility workflows.
The EMT Madrid (Open Data) MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 EMT Madrid (Open Data) tools available for Vercel AI SDK
When Vercel AI SDK connects to EMT Madrid (Open Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-transport, real-time-data, bus-arrivals, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get bus arrivals on EMT Madrid (Open Data)
Get real-time bus arrival times for a stop
List bicimad stations on EMT Madrid (Open Data)
Get status of all BiciMAD stations
Login on EMT Madrid (Open Data)
Login to EMT MobilityLabs to get an accessToken
Plan bus route on EMT Madrid (Open Data)
Calculate routes between points using the EMT network
Connect EMT Madrid (Open Data) to Vercel AI SDK via MCP
Follow these steps to wire EMT Madrid (Open Data) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the EMT Madrid (Open Data) MCP Server
Vercel AI SDK provides unique advantages when paired with EMT Madrid (Open Data) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same EMT Madrid (Open Data) integration everywhere
Built-in streaming UI primitives let you display EMT Madrid (Open Data) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EMT Madrid (Open Data) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EMT Madrid (Open Data) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EMT Madrid (Open Data) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EMT Madrid (Open Data) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EMT Madrid (Open Data) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EMT Madrid (Open Data) through natural language queries
Example Prompts for EMT Madrid (Open Data) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EMT Madrid (Open Data) immediately.
"What are the bus arrival times for stop ID 72?"
"List all BiciMAD stations and their current bike availability."
"Plan a bus route starting from stop 1022."
Troubleshooting EMT Madrid (Open Data) MCP Server with Vercel AI SDK
Common issues when connecting EMT Madrid (Open Data) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEMT Madrid (Open Data) + Vercel AI SDK FAQ
Common questions about integrating EMT Madrid (Open Data) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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