Bring Public Transport
to Mastra AI
Learn how to connect EMT Madrid (Open Data) to Mastra 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and EMT Madrid (Open Data) tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EMT Madrid (Open Data) without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every EMT Madrid (Open Data) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
EMT Madrid (Open Data) in Mastra AI
EMT Madrid (Open Data) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect EMT Madrid (Open Data) to Mastra 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.
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 Mastra 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 Mastra 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.
* 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 Mastra AI
Every tool call from Mastra 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.
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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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