EMT Madrid (Open Data) MCP Server for LangChainGive LangChain instant access to 4 tools to Get Bus Arrivals, List Bicimad Stations, Login, and more

Name: EMT Madrid (Open Data)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect EMT Madrid (Open 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 EMT Madrid (Open Data) MCP Server for LangChain is a standout in the Government Public Data category — giving your AI agent 4 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({
        "emt-madrid-open-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 EMT Madrid (Open 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 EMT Madrid (Open Data) MCP Server

Connect to the EMT Madrid Open Data platform to bring Madrid's mobility network into your AI agent. This server provides direct access to official transport data for the city of Madrid.

LangChain's ecosystem of 500+ components combines seamlessly with EMT Madrid (Open Data) through native MCP adapters. Connect 4 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 Bus Arrivals — Use get_bus_arrivals to see exactly when the next bus is reaching a specific stop using its unique ID.
BiciMAD Integration — Use list_bicimad_stations to check bike availability and empty docks across the city's electric bike-sharing system.
Route Planning — Use plan_bus_route to find the best way to navigate the city using the EMT bus network from any starting stop.
Official Data — Access the same data used by official apps to ensure accuracy in your mobility workflows.

The EMT Madrid (Open Data) MCP Server exposes 4 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 4 EMT Madrid (Open Data) tools available for LangChain

When LangChain connects to EMT Madrid (Open Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-transport, real-time-data, bus-arrivals, 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.

get

Get bus arrivals on EMT Madrid (Open Data)

Get real-time bus arrival times for a stop

list

List bicimad stations on EMT Madrid (Open Data)

Get status of all BiciMAD stations

action

Login on EMT Madrid (Open Data)

plan

Plan bus route on EMT Madrid (Open Data)

Calculate routes between points using the EMT network

Connect EMT Madrid (Open Data) to LangChain via MCP

Follow these steps to wire EMT Madrid (Open 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 4 tools from EMT Madrid (Open Data) via MCP

Why Use LangChain with the EMT Madrid (Open Data) MCP Server

LangChain provides unique advantages when paired with EMT Madrid (Open Data) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine EMT Madrid (Open 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 EMT Madrid (Open Data) queries for multi-turn workflows

EMT Madrid (Open Data) + LangChain Use Cases

Practical scenarios where LangChain combined with the EMT Madrid (Open Data) MCP Server delivers measurable value.

RAG with live data: combine EMT Madrid (Open Data) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query EMT Madrid (Open Data), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain EMT Madrid (Open Data) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every EMT Madrid (Open Data) tool call, measure latency, and optimize your agent's performance

Example Prompts for EMT Madrid (Open Data) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with EMT Madrid (Open Data) immediately.

"What are the bus arrival times for stop ID 72?"

"List all BiciMAD stations and their current bike availability."

"Plan a bus route starting from stop 1022."

Troubleshooting EMT Madrid (Open Data) MCP Server with LangChain

Common issues when connecting EMT Madrid (Open Data) to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

EMT Madrid (Open Data) + LangChain FAQ

Common questions about integrating EMT Madrid (Open 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.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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