Renfe Data MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Ckan Datastore Search, Ckan Package List, Ckan Package Show, and more

Name: Renfe Data
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Renfe Data through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Renfe Data MCP Server for Vercel AI SDK is a standout in the Iot Hardware category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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VS Code

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+ other MCP clients

typescript

import { 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 Renfe Data, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Renfe Data MCP Server

Connect to the Renfe Data portal to monitor the Spanish railway network in real-time. This server provides comprehensive access to both live operational data and static historical datasets through the official CKAN infrastructure.

The Vercel AI SDK gives every Renfe Data tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

Real-time Tracking — Get precise GPS locations and movement status for Cercanías (commuter) and Long Distance (AVE/LD/MD) trains.
Trip Updates & Delays — Monitor live delays, cancellations, and platform changes to keep travelers informed.
CKAN Portal Access — List, search, and inspect metadata for thousands of railway datasets and resources.
Service Alerts — Retrieve real-time information on accessibility issues, track incidents, or bus substitutions.
Static Schedules — Fetch direct download URLs for GTFS schedules and station lists for offline analysis.

The Renfe Data MCP Server exposes 11 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 11 Renfe Data tools available for Vercel AI SDK

When Vercel AI SDK connects to Renfe Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning railway, real-time-tracking, gps-data, 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.

ckan

Ckan datastore search on Renfe Data

Search for data within a resource

ckan

Ckan package list on Renfe Data

List all dataset names in Renfe Data

ckan

Ckan package show on Renfe Data

Get metadata for a specific dataset

ckan

Ckan resource show on Renfe Data

Get metadata for a specific resource

get

Get avisos on Renfe Data

Get planned service modifications (Avisos)

get

Get static datasets on Renfe Data

List URLs for static datasets (Schedules & Stations)

Rt alerts cercanias on Renfe Data

Updates every 20 seconds. Get real-time service alerts for Cercanías

Rt trip updates cercanias on Renfe Data

Updates every 20 seconds. Get real-time trip updates for Cercanías

Rt trip updates ld on Renfe Data

Updates every 30 seconds. Get real-time trip updates for AV / LD / MD

Rt vehicle positions cercanias on Renfe Data

Updates every 20 seconds. Get real-time vehicle positions for Cercanías

Rt vehicle positions ld on Renfe Data

Updates every 15 minutes. Get real-time vehicle positions for AV / LD / MD

Connect Renfe Data to Vercel AI SDK via MCP

Follow these steps to wire Renfe Data into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 11 tools from Renfe Data and passes them to the LLM

Why Use Vercel AI SDK with the Renfe Data MCP Server

Vercel AI SDK provides unique advantages when paired with Renfe Data 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 Renfe Data integration everywhere

Built-in streaming UI primitives let you display Renfe Data 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

Renfe Data + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Renfe Data MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Renfe Data in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Renfe Data tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Renfe Data capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Renfe Data through natural language queries

Example Prompts for Renfe Data in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Renfe Data immediately.

"List all available dataset names in the Renfe Data portal."

"Show me the current real-time positions of Cercanías trains."

"Are there any trip updates or delays for Long Distance trains right now?"

Troubleshooting Renfe Data MCP Server with Vercel AI SDK

Common issues when connecting Renfe Data to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Renfe Data + Vercel AI SDK FAQ

Common questions about integrating Renfe Data MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import 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?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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