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How to Use the EMT Madrid (Open Data) MCP in Mastra AI

Build resilient, self-healing Madrid transit agents using Mastra AI workflows.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect EMT Madrid (Open Data) MCP to Mastra AI

Create your Vinkius account to connect EMT Madrid (Open Data) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Manage MobilityLabs Sessions Automatically

The `login` tool authenticates your agent with the EMT Madrid portal to fetch a valid accessToken. Mastra AI handles this step inside a background workflow before executing any transit queries. If a token expires during a route calculation, Mastra triggers an automatic retry of the EMT API. This keeps your background workers running without manual intervention or system crashes.

Monitor Bike Stations with Mastra AI and MCP

The `list_bicimad_stations` tool retrieves real-time dock availability across the BiciMAD network. Mastra workflows can poll this tool to trigger alerts when a local station runs low on bikes. You can set up conditional branches that notify users when bike counts drop below three. The workflow automatically switches to bus route planning if no bikes remain.

Plan Dynamic Alternate Routes on Failure

The `plan_bus_route` tool charts transit paths between coordinates using the EMT network data. When integrated with Mastra AI, your MCP agent can fall back to alternative stops if a route is blocked. If `get_bus_arrivals` shows extreme delays at a planned stop, Mastra re-routes the user. The agent runs a new path query instantly to find a faster bus option.

Setup guide

Set up EMT Madrid (Open Data) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All EMT Madrid (Open Data) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "emt-madrid-open-data-mcp-client",
  servers: {
    "emt-madrid-open-data-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "EMT Madrid (Open Data) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to EMT Madrid (Open Data) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent EMT Madrid (Open Data) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EMT Madrid. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about EMT Madrid (Open Data) MCP in Mastra AI

Instantiate the client using your Vinkius HTTP endpoint URL. Then, register the tools directly into your Mastra agent configuration so it can access `get_bus_arrivals` and other tools.
Yes, you can set `requireToolApproval` on the `plan_bus_route` tool. This pauses the workflow and waits for a dispatcher to confirm the path before sending it to the commuter.
You build a workflow step that checks your token status. If the API returns an auth error, Mastra executes the `login` tool to refresh the accessToken and retries the original request.
Yes, Mastra AI can trigger multiple instances of `get_bus_arrivals` concurrently. This is useful when monitoring an entire transit hub with several intersecting bus lines.
Your origin-destination coordinates sent to `plan_bus_route` are processed in memory and never written to persistent logs. Credentials required by `login` are sandboxed on Vinkius and never stored by Mastra.

Start using the EMT Madrid (Open Data) MCP today

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Built & Managed by Vinkius 30s setup 4 tools

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