How to Use the Ayuntamiento de Zaragoza MCP in Vercel AI SDK

Q: How do I book an appointment with Ayuntamiento de Zaragoza using the Vercel AI SDK?

Your app passes the user's request to generateText. The AI SDK uses the bookappointment tool from this MCP server to make the booking. The confirmation streams right back to your UI.

Q: What's the best way to get started with this MCP Server and the Vercel AI SDK?

First, run npm install ai @ai-sdk/mcp. Then, point createMCPClient to your Vinkius endpoint URL. You can pass the tools from mcpClient.tools() directly to streamText and start building.

Build apps that stream Zaragoza city data directly into your UI with the Vercel AI SDK. No more loading spinners.

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Connect Ayuntamiento de Zaragoza MCP to Vercel AI SDK

Create your Vinkius account to connect Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza with Vercel AI SDK

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Build Live Appointment UIs

This MCP Server gives your AI client direct access to Zaragoza's appointment system. Your app's user can ask to see available slots for a specific service. Your agent uses the `get_agenda_availability` tool, and the AI SDK streams the open times right into your calendar component as they're found. Once the user picks a time, the agent calls `book_appointment` to lock it in. The confirmation appears in the UI without a page refresh. It’s a fast, modern experience for booking city services, built right into your own frontend.

Create Interactive City Maps

You can build a front-end that displays Zaragoza's public collaborative maps. Your code just needs to ask the AI to list them. It uses the `list_public_maps` tool, and the AI SDK streams the map data directly into your application state, populating a component like Mapbox or Leaflet instantly. For authenticated users, it gets even better. They can ask your AI to create a new map with specific points of interest. The agent calls `create_map`, and the new map appears in their `list_user_maps` feed in real-time. No waiting, no reloads.

Query Open Data for your Vercel AI SDK App

Let users query Zaragoza's open data with natural language. A user could type "show me all the monuments near the Basilica del Pilar" into a chat input in your app. Your agent can then use the `query_dataset` tool to find and return a list of matching locations. The real power is in the presentation. Because you're using the Vercel AI SDK, that list of monuments doesn't just pop in after a delay. It streams into your UI, one by one, making the entire interaction feel alive and responsive.

Setup guide

Set up Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ayuntamiento de Zaragoza. 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 Ayuntamiento de Zaragoza MCP in Vercel AI SDK

Your app passes the user's request to `generateText`. The AI SDK uses the `book_appointment` tool from this MCP server to make the booking. The confirmation streams right back to your UI.

Yes. Your frontend code calls your AI client, which in turn uses the `list_open311_requests` tool. The Vercel AI SDK streams the list of requests directly into your React components for display.

First, run `npm install ai @ai-sdk/mcp`. Then, point `createMCPClient` to your Vinkius endpoint URL. You can pass the tools from `mcpClient.tools()` directly to `streamText` and start building.

Absolutely. Once a user is authenticated, your app's AI can call the `create_map` tool. The details for the new map are returned immediately, letting you update your UI without a lag.

Your personal details for appointments are sent encrypted over HTTPS to the MCP Server. They exist only long enough to call the `book_appointment` tool and are then immediately discarded. Vinkius never stores your appointment information.

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