Pydantic AISDK

EMT Madrid (Open Data) MCP Server

Bring Public Transport
to Pydantic AI

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 Pydantic AI 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 Pydantic AI?

Pydantic AI validates every EMT Madrid (Open Data) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your EMT Madrid (Open Data) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your EMT Madrid (Open Data) connection logic from agent behavior for testable, maintainable code

See it in action

EMT Madrid (Open Data) in Pydantic AI

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 Pydantic 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.

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 Pydantic AI →

Enterprise Security

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

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 Pydantic 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.

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 Pydantic AI

Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your EMT Madrid (Open Data) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.