Compatible with every major AI agent and IDE
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)
Search for data within a resource
List all dataset names in Renfe Data
Get metadata for a specific dataset
Get metadata for a specific resource
Get planned service modifications (Avisos)
List URLs for static datasets (Schedules & Stations)
Updates every 20 seconds. Get real-time service alerts for Cercanías
Updates every 20 seconds. Get real-time trip updates for Cercanías
Updates every 30 seconds. Get real-time trip updates for AV / LD / MD
Updates every 20 seconds. Get real-time vehicle positions for Cercanías
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.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Renfe Data without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Renfe Data tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Renfe Data in Mastra AI
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.
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 |
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.

* 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
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.
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 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.
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.
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.
createMCPClient not exported
Install: npm install @mastra/mcp
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