Renfe Data MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Renfe Data through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Renfe Data MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "renfe-data": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Renfe Data, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Renfe Data through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Renfe Data via MCP

Why Use LangChain with the Renfe Data MCP Server

LangChain provides unique advantages when paired with Renfe Data through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Renfe Data MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Renfe Data queries for multi-turn workflows

Renfe Data + LangChain Use Cases

Practical scenarios where LangChain combined with the Renfe Data MCP Server delivers measurable value.

RAG with live data: combine Renfe Data tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Renfe Data, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Renfe Data tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Renfe Data tool call, measure latency, and optimize your agent's performance

Example Prompts for Renfe Data in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Renfe Data to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Renfe Data + LangChain FAQ

Common questions about integrating Renfe Data MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.