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

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Renfe Data through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Renfe Data MCP Server for Mastra AI 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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+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "renfe-data": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Renfe Data Agent",
    instructions:
      "You help users interact with Renfe Data " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Renfe Data?"
  );
  console.log(result.text);
}

main();
Renfe Data
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Renfe Data tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

Rt alerts cercanias on Renfe Data

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

rt

Rt trip updates cercanias on Renfe Data

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

rt

Rt trip updates ld on Renfe Data

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

rt

Rt vehicle positions cercanias on Renfe Data

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

rt

Rt vehicle positions ld on Renfe Data

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

Connect Renfe Data to Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from Renfe Data via MCP

Why Use Mastra AI with the Renfe Data MCP Server

Mastra AI provides unique advantages when paired with Renfe Data through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Renfe Data without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Renfe Data tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Renfe Data + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Renfe Data, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Renfe Data as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Renfe Data on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Renfe Data tools alongside other MCP servers

Example Prompts for Renfe Data in Mastra AI

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

01

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

02

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

03

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

Troubleshooting Renfe Data MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Renfe Data + Mastra AI FAQ

Common questions about integrating Renfe Data MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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