Comunidad de Madrid (Portal Regional) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Get Dataset, Get Resource, List Datasets, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) MCP Server for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Comunidad de Madrid (Portal Regional), 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 Comunidad de Madrid (Portal Regional) MCP Server
Connect your AI agent to the Comunidad de Madrid Open Data Portal to access a wealth of public information directly through natural language. This MCP server provides a bridge to the regional CKAN-based repository, covering everything from transport and health to environment and economy.
The Vercel AI SDK gives every Comunidad de Madrid (Portal Regional) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Dataset Discovery — Search for specific datasets using keywords like 'transporte', 'salud', or 'medio ambiente' to find relevant public records.
- Metadata Inspection — Retrieve full metadata for datasets, including tags, organizations, and update frequencies.
- Resource Management — List and inspect individual files (resources) within a dataset, such as CSVs, JSONs, or PDFs.
- Direct Data Querying — Use the DataStore integration to query the actual content of datasets directly, allowing for data analysis without manual downloads.
- Portal Exploration — List all available dataset identifiers to understand the scope of available regional data.
The Comunidad de Madrid (Portal Regional) MCP Server exposes 5 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 5 Comunidad de Madrid (Portal Regional) tools available for Vercel AI SDK
When Vercel AI SDK connects to Comunidad de Madrid (Portal Regional) through Vinkius, your AI agent gets direct access to every tool listed below — spanning madrid, open-data, ckan, 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 dataset on Comunidad de Madrid (Portal Regional)
Get full metadata for a specific dataset
Get resource on Comunidad de Madrid (Portal Regional)
Get metadata for a specific resource
List datasets on Comunidad de Madrid (Portal Regional)
List all dataset identifiers in the portal
Search datasets on Comunidad de Madrid (Portal Regional)
g., transporte, salud). Search for datasets matching specific criteria
Search datastore on Comunidad de Madrid (Portal Regional)
Query data directly from a resource in the DataStore
Connect Comunidad de Madrid (Portal Regional) to Vercel AI SDK via MCP
Follow these steps to wire Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) MCP Server
Vercel AI SDK provides unique advantages when paired with Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) integration everywhere
Built-in streaming UI primitives let you display Comunidad de Madrid (Portal Regional) 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
Comunidad de Madrid (Portal Regional) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Comunidad de Madrid (Portal Regional) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Comunidad de Madrid (Portal Regional) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Comunidad de Madrid (Portal Regional) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Comunidad de Madrid (Portal Regional) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Comunidad de Madrid (Portal Regional) through natural language queries
Example Prompts for Comunidad de Madrid (Portal Regional) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Comunidad de Madrid (Portal Regional) immediately.
"Search for datasets related to air quality in Madrid."
"List all dataset identifiers available in the portal."
"Get the metadata for the dataset 'calidad_aire_datos_dia'."
Troubleshooting Comunidad de Madrid (Portal Regional) MCP Server with Vercel AI SDK
Common issues when connecting Comunidad de Madrid (Portal Regional) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpComunidad de Madrid (Portal Regional) + Vercel AI SDK FAQ
Common questions about integrating Comunidad de Madrid (Portal Regional) 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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