How to Use the Dades Obertes Catalunya MCP in Vercel AI SDK

Feed live Catalonian public data directly into your React components using the Vercel AI SDK.

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Connect Dades Obertes Catalunya MCP to Vercel AI SDK

Create your Vinkius account to connect Dades Obertes Catalunya 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 Dades Obertes Catalunya with Vercel AI SDK

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Claude

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Instant UI updates with search_catalog

Stop making users wait for backend roundtrips. When your user types a search query, your React app uses `search_catalog` to grab Catalonian dataset IDs and renders them instantly as they stream in. The Vercel AI SDK handles the connection to this MCP Server on the edge. This means you get raw, fast dataset identifiers without spinning up heavy server-side middleware.

Dynamic SoQL data streaming in Next.js

By feeding `query_dataset` straight into your UI components, you can let users write custom filters. The Vercel AI SDK renders the incoming rows row-by-row, skipping the usual loading spinners. You just pass the tools array to your streamText function. The system handles the SoQL parameters like `$where` and `$limit` under the hood, spitting out clean JSON as it arrives.

Edge-ready MCP Server data pipelines

Keep your serverless bills low. This setup runs on Vercel Edge Functions, connecting your frontend directly to the Catalonia open data endpoints with minimal overhead. You initialize the client, call the tools, and close the session when done. It is clean, fast, and does not block your main thread while processing large Catalonian datasets.

Setup guide

Set up Dades Obertes Catalunya 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 Dades Obertes Catalunya 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 Dades Obertes Catalunya 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 Dades Obertes Catalunya. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dades Obertes Catalunya MCP in Vercel AI SDK

Install @ai-sdk/mcp and set up the client with your Vinkius endpoint URL. You then pass the tools directly into generateText or streamText to start querying public Catalonian data.

Yes, that is the main benefit of this setup. When your agent calls query_dataset, the row data streams straight into your frontend UI, letting users watch the tables populate in real-time.

Yes, the configuration is lightweight enough to run inside Vercel Edge Functions. You get fast execution times because there is no heavy server-side baggage slowing down the data retrieval.

Use SoQL parameters like $limit and $select to restrict the returned columns and rows. This keeps the payload small and ensures your frontend stays responsive during heavy queries.

Your SoQL queries and dataset IDs are routed through Vinkius's isolated sandbox directly to the official Catalonia open data API. No query parameters or retrieved public records are stored or cached on our servers.

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