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Vinkius
Mastra AISDK
Mastra AI
Renfe Data MCP Server

Bring Railway
to Mastra AI

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

MCP Inspector 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

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Renfe Data

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

  1. Subscribe to this server
  2. Enter your Renfe Data API Key
  3. 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 Mastra AI?

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.

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

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

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

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

M
See it in action

Renfe Data in Mastra AI

AI AgentVinkius
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 Mastra AI 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 catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Renfe Data in Mastra AI

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 Mastra AI 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.

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

The Vinkius Advantage

How Vinkius secures Renfe Data for Mastra AI

Every tool call from Mastra AI 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

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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