LlamaIndexFramework

Renfe Data MCP Server

Bring Railway
to LlamaIndex

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

Learn how to connect Renfe Data to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Ckan Datastore SearchCkan Package ListCkan Package ShowCkan Resource ShowGet AvisosGet Static DatasetsRt Alerts CercaniasRt Trip Updates CercaniasRt Trip Updates LdRt Vehicle Positions CercaniasRt Vehicle Positions Ld

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Renfe Data API Key
Start querying Spanish railway data from Claude, Cursor, or any MCP-compatible client

Who is this for?

Logistics & Transport Analysts — track fleet movements and analyze network performance metrics.
Travel App Developers — integrate real-time Spanish train data and GTFS schedules into custom applications.
Data Scientists — access open government data for urban mobility research and visualization.

Built-in capabilities (11)

ckan_datastore_search

Search for data within a resource

ckan_package_list

List all dataset names in Renfe Data

ckan_package_show

Get metadata for a specific dataset

ckan_resource_show

Get metadata for a specific resource

get_avisos

Get planned service modifications (Avisos)

get_static_datasets

List URLs for static datasets (Schedules & Stations)

rt_alerts_cercanias

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

rt_trip_updates_cercanias

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

rt_trip_updates_ld

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

rt_vehicle_positions_cercanias

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

rt_vehicle_positions_ld

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

Why LlamaIndex?

LlamaIndex agents combine Renfe Data tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

—
Data-first architecture: LlamaIndex agents combine Renfe Data tool responses with indexed documents for comprehensive, grounded answers
—
Query pipeline framework lets you chain Renfe Data tool calls with transformations, filters, and re-rankers in a typed pipeline
—
Multi-source reasoning: agents can query Renfe Data, a vector store, and a SQL database in a single turn and synthesize results
—
Observability integrations show exactly what Renfe Data tools were called, what data was returned, and how it influenced the final answer

See it in action

Renfe Data in LlamaIndex

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Renfe Data and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Renfe Data to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LlamaIndex →

Enterprise Security

Why teams choose Vinkius for Renfe Data in LlamaIndex

The Renfe Data 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Renfe Data details →

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

The Vinkius Advantage

How Vinkius secures
Renfe Data for LlamaIndex

Every tool call from LlamaIndex to the Renfe Data MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How often are the real-time train positions updated?

It depends on the service: Cercanías positions (rt_vehicle_positions_cercanias) update every 20 seconds, while Long Distance trains (rt_vehicle_positions_ld) update every 15 minutes.

Can I check for delays or platform changes for a specific trip?

Yes. Use rt_trip_updates_cercanias or rt_trip_updates_ld to get live information on delays, cancellations, and platform assignments across the network.

Where can I find the static GTFS files for schedules?

You can use the get_static_datasets tool. It returns direct download URLs for GTFS schedule packages and CSV/XLSX lists of all Renfe stations.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Renfe Data tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.