How to Use the Comunidad de Madrid (Portal Regional) MCP in Vercel AI SDK

Stream Comunidad de Madrid (Portal Regional) data directly into your Vercel AI SDK interfaces for real-time regional insights.

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Connect Comunidad de Madrid (Portal Regional) MCP to Vercel AI SDK

Create your Vinkius account to connect Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) with Vercel AI SDK

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Live Data Streaming with Vercel AI SDK

Pipe regional datasets straight to your frontend components. Use `get_dataset` to pull metadata that renders as the AI generates its response, skipping the wait. Your users watch the Comunidad de Madrid (Portal Regional) data arrive piece by piece. It makes your dashboard feel like it is thinking alongside the user.

Search Regional Records via MCP Server

Find specific public information using `search_datasets` within your React or Next.js app. The server returns identifiers that you can immediately parse into clean UI elements. This MCP Server handles the connection logic while you focus on the visual presentation. Your code remains clean and the data stays structured.

Query Datastores in Real-time

Execute queries against specific resources using `search_datastore` inside your Edge Functions. You get raw data points returned to your agent without overhead. Everything stays within the request-response cycle of your Vercel AI SDK implementation. You provide answers based on current regional figures.

Setup guide

Set up Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional). 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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Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

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lower AI costs

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Single dashboard

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place for every integration

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

Common questions about Comunidad de Madrid (Portal Regional) MCP in Vercel AI SDK

Install the MCP client package and initialize the connection with your endpoint URL. Use the provided tools to generate text streams that include dataset metadata.

Yes, pass specific search terms to the server's tools. You can refine your queries based on user input before the data hits your frontend.

It is built for that exact purpose. Vercel AI SDK handles the MCP tool results as a stream, allowing your UI to update as information arrives.

They are designed for quick lookups. You get the metadata you need for your interface without adding significant latency to your agent's response.

We enforce strict isolation between your queries and other users. Your specific search parameters for regional datasets are never shared or logged by the infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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