How to Use the Ayuntamiento de Zaragoza MCP in Mastra AI

Q: How can I build a reliable workflow for submitting Open311 requests to Ayuntamiento de Zaragoza using Mastra AI?

Create a Mastra AI agent with the submitopen311request tool. You then wrap the tool call in a workflow with automatic retries. This ensures that transient network issues won't cause the citizen's request to be dropped.

Q: Can my Mastra AI agent manage the whole appointment lifecycle with Ayuntamiento de Zaragoza?

Yes. A single agent can run a workflow: listagendas, then getagendaavailability to find a slot, and bookappointment to secure it. You can even add a later step to use getmyappointments to confirm the booking ahead of time.

Q: What's the setup for using the Ayuntamiento de Zaragoza MCP server with Mastra AI?

It's quick. After npm install @mastra/mcp, you just instantiate the MCPClient and point it to your Vinkius server URL. Mastra AI automatically discovers and integrates all the available tools like bookappointment.

Build resilient, multi-step city service workflows for Zaragoza with Mastra AI. Automate bookings, reporting, and data processing.

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Connect Ayuntamiento de Zaragoza MCP to Mastra AI

Create your Vinkius account to connect Ayuntamiento de Zaragoza 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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Setup Ayuntamiento de Zaragoza with Mastra AI

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Automate Resilient Appointment Booking

Booking city appointments can be flaky. This MCP Server gives your Mastra AI agent the tools to handle it. You can define a workflow that first tries to `book_appointment` on the user's preferred time. If that fails because the slot was just taken, it’s not a problem. Mastra's workflow engine can automatically catch the failure. It then directs the agent to call `get_agenda_availability` to find the next open slot, and retries the booking. You can even configure it to notify a person if it fails after a few tries. That's true automation.

Build Complex Civic Reporting Bots

You can build a bot that reliably submits citizen feedback. A Mastra agent can take a user's complaint, like a broken streetlight, and first use `list_open311_services` to find the exact service code for that issue. This step alone makes your bot smarter than most. Next, it calls `submit_open311_request` with the correct details. Mastra's built-in engine ensures that if the submission fails due to a network blip, it automatically retries with exponential backoff. Your workflow doesn't just stop; it adapts and completes the job.

Chain Data Queries with this MCP Server

Set up a Mastra AI workflow that runs on a schedule to process city data. For instance, a nightly job can use `execute_sparql_query` to pull down new public transport datasets. That's the first step. The next step in the workflow could be to analyze that data. Then, your agent could use `list_user_maps` to find maps related to transport and update them with the new information. Each action is a distinct, reliable step in your automated Mastra AI process.

Setup guide

Set up Ayuntamiento de Zaragoza 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Ayuntamiento de Zaragoza tools become native Mastra tools.
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: "ayuntamiento-de-zaragoza-mcp-client",
  servers: {
    "ayuntamiento-de-zaragoza-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Ayuntamiento de Zaragoza transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ayuntamiento de Zaragoza. 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 Ayuntamiento de Zaragoza MCP in Mastra AI

Create a Mastra AI agent with the `submit_open311_request` tool. You then wrap the tool call in a workflow with automatic retries. This ensures that transient network issues won't cause the citizen's request to be dropped.

Yes. A single agent can run a workflow: `list_agendas`, then `get_agenda_availability` to find a slot, and `book_appointment` to secure it. You can even add a later step to use `get_my_appointments` to confirm the booking ahead of time.

It's quick. After `npm install @mastra/mcp`, you just instantiate the `MCPClient` and point it to your Vinkius server URL. Mastra AI automatically discovers and integrates all the available tools like `book_appointment`.

You configure your credentials once in the Mastra AI client. It securely manages the authentication flow, passing the necessary token to this MCP server only when your workflow invokes a protected tool like `create_map`.

Yes. When your agent submits a request, its details are passed through Mastra AI to the MCP Server over a secure, encrypted channel. The server holds the data only for the milliseconds needed to call the `submit_open311_request` tool, and it's never logged or stored by Vinkius.

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