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

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect EMT Madrid (Open Data) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The EMT Madrid (Open Data) MCP Server for Pydantic AI 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

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python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to EMT Madrid (Open Data) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in EMT Madrid (Open Data)?"
    )
    print(result.data)

asyncio.run(main())
EMT Madrid (Open Data)
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.

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.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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)

Login to EMT MobilityLabs to get an accessToken

plan

Plan bus route on EMT Madrid (Open Data)

Calculate routes between points using the EMT network

Connect EMT Madrid (Open Data) to Pydantic AI via MCP

Follow these steps to wire EMT Madrid (Open Data) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 4 tools from EMT Madrid (Open Data) with type-safe schemas

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

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your EMT Madrid (Open Data) integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your EMT Madrid (Open Data) connection logic from agent behavior for testable, maintainable code

EMT Madrid (Open Data) + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query EMT Madrid (Open Data) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple EMT Madrid (Open Data) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query EMT Madrid (Open Data) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock EMT Madrid (Open Data) responses and write comprehensive agent tests

Example Prompts for EMT Madrid (Open Data) in Pydantic AI

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

01

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

02

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

03

"Plan a bus route starting from stop 1022."

Troubleshooting EMT Madrid (Open Data) MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EMT Madrid (Open Data) + Pydantic AI FAQ

Common questions about integrating EMT Madrid (Open Data) MCP Server with Pydantic AI.

01

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.
02

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.
03

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.

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