How to Use the Datos.gob.es (Catálogo Nacional) MCP in Vercel AI SDK

Q: How do I hook up the Datos.gob.es (Catálogo Nacional) server to my Vercel AI SDK project?

Install the @ai-sdk/mcp package to initialize the MCP client using the Vinkius HTTP endpoint. Pass the tools from your client configuration directly into the text generation functions in your Next.js API route.

Q: Can I filter Datos.gob.es (Catálogo Nacional) data by publisher using the Vercel AI SDK?

Yes, you can. The server exposes listdatasetsbypublisher which allows your LLM to filter the catalog by specific Spanish public entity IDs.

Q: What happens if a dataset format is not supported?

Your code handles that by using listdatasetsbyformat to check available formats first. You can filter for CSV, RDF, or JSON-LD before displaying download options.

Pipe Spain's national datasets directly into your live UI using the Vercel AI SDK.

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Connect Datos.gob.es (Catálogo Nacional) MCP to Vercel AI SDK

Create your Vinkius account to connect Datos.gob.es (Catálogo Nacional) 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 Datos.gob.es (Catálogo Nacional) with Vercel AI SDK

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Stream Spain's datasets live with Vercel AI SDK

`list_datasets` lets your application pull Spain's national catalog directly into your frontend components. When your users search for Spanish public sector info, this MCP Server feeds the raw JSON straight to your UI stream without waiting for a full page reload. By calling `list_datasets_by_format` or `list_datasets_by_theme`, you bypass slow backend processing. Your interface displays the Spanish open data immediately as it arrives from the server.

Filter regional and provincial datasets

`list_regions` and `list_provinces` provide the exact geographic structures needed to build dynamic dropdowns. Your AI client maps out Spain's regional divisions and requests specific public data targets on the fly. Using `get_region` or `get_province` lets the frontend render localized datasets instantly. Your users get precise regional information without wading through irrelevant national records.

Run targeted catalog searches

`search_datasets_by_title` and `list_datasets_by_keyword` run targeted queries across Spain's open data catalog. The Vercel AI SDK processes these search results to update your application's state in real-time. If a user needs specific formats like CSV or JSON, `list_distributions_by_format` filters the technical endpoints immediately. You get the exact file links directly in your client interface.

Setup guide

Set up Datos.gob.es (Catálogo Nacional) 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 Datos.gob.es (Catálogo Nacional) 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 Datos.gob.es (Catálogo Nacional) 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 Datos.gob.es. 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 Datos.gob.es (Catálogo Nacional) MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package to initialize the MCP client using the Vinkius HTTP endpoint. Pass the tools from your client configuration directly into the text generation functions in your Next.js API route.

Yes, you can. The server exposes `list_datasets_by_publisher` which allows your LLM to filter the catalog by specific Spanish public entity IDs.

It outputs structured JSON schemas that the SDK streams directly to your frontend. This means tools like `list_distributions` render on screen piece-by-piece as the Spain public data is retrieved.

Your code handles that by using `list_datasets_by_format` to check available formats first. You can filter for CSV, RDF, or JSON-LD before displaying download options.

Vinkius runs this MCP Server in an isolated, zero-trust V8 sandbox that only handles public catalog metadata. No private user inputs or API keys are ever stored or exposed during the Spanish catalog queries.

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