LangChainFramework

EMT Madrid (Open Data) MCP Server

Bring Public Transport
to LangChain

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

Learn how to connect EMT Madrid (Open Data) to LangChain and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get Bus ArrivalsList Bicimad StationsLoginPlan Bus Route

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What is the 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.

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.

How it works

Subscribe to this server
Provide your EMT MobilityLabs API Key
Start asking about Madrid's transport from Claude, Cursor, or any MCP client.

Who is this for?

Commuters — Get quick updates on your daily route without opening multiple apps.
Developers — Integrate Madrid's transport data into custom mobility tools or dashboards.
Travelers — Navigate Madrid like a local with real-time transit information.

Built-in capabilities (4)

get_bus_arrivals

Get real-time bus arrival times for a stop

list_bicimad_stations

Get status of all BiciMAD stations

plan_bus_route

Calculate routes between points using the EMT network

Why LangChain?

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.

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The largest ecosystem of integrations, chains, and agents. combine EMT Madrid (Open Data) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across EMT Madrid (Open Data) queries for multi-turn workflows

See it in action

EMT Madrid (Open Data) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

EMT Madrid (Open Data) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect EMT Madrid (Open Data) to LangChain 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 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

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for EMT Madrid (Open Data) in LangChain

The EMT Madrid (Open 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 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain 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.

Unlock for AI Agents View full EMT Madrid (Open Data) details →

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
EMT Madrid (Open Data) for LangChain

Every tool call from LangChain to the EMT Madrid (Open 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

How do I check when the next bus arrives at a specific stop?

You can use the get_bus_arrivals tool by providing the unique Stop ID. The agent will return real-time estimates for all lines serving that stop.

Can I see the availability of BiciMAD electric bikes?

Yes! The list_bicimad_stations tool provides a complete list of all stations in Madrid, including the number of available bikes and free docks at each location.

Does this server require a login to access the data?

The server uses the login tool internally or via your API key to authenticate with EMT MobilityLabs, ensuring you have a valid session to fetch real-time transport data.

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.