Renfe Data MCP Server for OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Renfe Data through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Renfe Data MCP Server for OpenAI Agents 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Renfe Data Assistant",
            instructions=(
                "You help users interact with Renfe Data. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Renfe Data"
        )
        print(result.final_output)

asyncio.run(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 OpenAI Agents SDK auto-discovers all 11 tools from Renfe Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Renfe Data, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Renfe Data

Why Use OpenAI Agents SDK with the Renfe Data MCP Server

OpenAI Agents SDK provides unique advantages when paired with Renfe Data through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Renfe Data + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Renfe Data MCP Server delivers measurable value.

Automated workflows: build agents that query Renfe Data, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Renfe Data, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Renfe Data tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Renfe Data to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Renfe Data in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Renfe Data + OpenAI Agents SDK FAQ

Common questions about integrating Renfe Data MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.