Bring Railway
to Vercel AI SDK
Learn how to connect Renfe Data to Vercel AI SDK 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 Vercel AI SDK?
The Vercel AI SDK gives every Renfe Data tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Renfe Data integration everywhere
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Built-in streaming UI primitives let you display Renfe Data tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Renfe Data in Vercel AI SDK
Renfe Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Renfe Data to Vercel AI SDK 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 Vercel AI SDK
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 Vercel AI SDK 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 Vercel AI SDK
Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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