Compatible with every major AI agent and IDE
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_arrivalsto see exactly when the next bus is reaching a specific stop using its unique ID. - BiciMAD Integration — Use
list_bicimad_stationsto check bike availability and empty docks across the city's electric bike-sharing system. - Route Planning — Use
plan_bus_routeto 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 real-time bus arrival times for a stop
Get status of all BiciMAD stations
Login to EMT MobilityLabs to get an accessToken
Calculate routes between points using the EMT network
Why Google ADK?
Google ADK natively supports EMT Madrid (Open Data) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with EMT Madrid (Open Data)
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine EMT Madrid (Open Data) tools with BigQuery, Vertex AI, and Cloud Functions
EMT Madrid (Open Data) in Google ADK
EMT Madrid (Open Data) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect EMT Madrid (Open Data) to Google ADK 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.
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 |
Why teams choose Vinkius for EMT Madrid (Open Data) in Google ADK
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 Google ADK 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.

* 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
How Vinkius secures
EMT Madrid (Open Data) for Google ADK
Every tool call from Google ADK 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.
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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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