Ayuntamiento de Zaragoza MCP Server for Pydantic AIGive Pydantic AI instant access to 17 tools to Book Appointment, Create Map, Delete Map, and more

Name: Ayuntamiento de Zaragoza
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Ayuntamiento de Zaragoza MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 17 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 Ayuntamiento de Zaragoza "
            "(17 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Ayuntamiento de Zaragoza?"
    )
    print(result.data)

asyncio.run(main())

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 Ayuntamiento de Zaragoza MCP Server

Connect to the Ayuntamiento de Zaragoza (Zaragoza City Council) Open Data platform to interact with city services, public datasets, and administrative workflows through natural language.

Pydantic AI validates every Ayuntamiento de Zaragoza tool response against typed schemas, catching data inconsistencies at build time. Connect 17 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

Public Datasets — Query information on monuments, restaurants, city equipment, and more using the query_dataset tool.
Citizen Services (Open311) — Submit complaints or suggestions (submit_open311_request) and track their status directly from your agent.
Collaborative Maps — List and inspect public or user-specific maps to visualize urban data.
Appointment Management — Check availability for city services and book appointments (book_appointment) without navigating complex web forms.
Advanced Semantic Search — Execute SPARQL queries for deep data analysis across the city's linked data infrastructure.

The Ayuntamiento de Zaragoza MCP Server exposes 17 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 17 Ayuntamiento de Zaragoza tools available for Pydantic AI

When Pydantic AI connects to Ayuntamiento de Zaragoza through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, open311, citizen-services, 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.

book

Book appointment on Ayuntamiento de Zaragoza

Requires authentication. Book an appointment (Cita Previa)

create

Create map on Ayuntamiento de Zaragoza

Requires authentication. Create a new collaborative map

delete

Delete map on Ayuntamiento de Zaragoza

Requires authentication. Delete a collaborative map

execute

Execute sparql query on Ayuntamiento de Zaragoza

zaragoza.es/sparql. Execute a SPARQL query against Zaragoza Semantic Web endpoint

get

Get agenda availability on Ayuntamiento de Zaragoza

Get appointment availability for a specific day

get

Get agenda detail on Ayuntamiento de Zaragoza

Get details of a specific Cita Previa agenda

get

Get map detail on Ayuntamiento de Zaragoza

Get details of a collaborative map

get

Get my appointments on Ayuntamiento de Zaragoza

Get my booked appointments

get

Get open311 request on Ayuntamiento de Zaragoza

Get details of a specific Open311 request

get

Get open311 service on Ayuntamiento de Zaragoza

Get Open311 service definition

list

List agendas on Ayuntamiento de Zaragoza

List Cita Previa (Appointment) agendas

list

List open311 requests on Ayuntamiento de Zaragoza

List Open311 requests

list

List open311 services on Ayuntamiento de Zaragoza

List Open311 services (Quejas y Sugerencias)

list

List public maps on Ayuntamiento de Zaragoza

List collaborative public maps

list

List user maps on Ayuntamiento de Zaragoza

List collaborative maps for a specific user

query

Query dataset on Ayuntamiento de Zaragoza

Query a generic Zaragoza dataset (e.g., restaurante, monumento)

submit

Submit open311 request on Ayuntamiento de Zaragoza

Requires authentication credentials. Submit an Open311 request (Queja/Sugerencia)

Connect Ayuntamiento de Zaragoza to Pydantic AI via MCP

Follow these steps to wire Ayuntamiento de Zaragoza into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 17 tools from Ayuntamiento de Zaragoza with type-safe schemas

Why Use Pydantic AI with the Ayuntamiento de Zaragoza MCP Server

Pydantic AI provides unique advantages when paired with Ayuntamiento de Zaragoza through the Model Context Protocol.

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

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Ayuntamiento de Zaragoza integration code

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

Dependency injection system cleanly separates your Ayuntamiento de Zaragoza connection logic from agent behavior for testable, maintainable code

Ayuntamiento de Zaragoza + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Ayuntamiento de Zaragoza MCP Server delivers measurable value.

Type-safe data pipelines: query Ayuntamiento de Zaragoza with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Ayuntamiento de Zaragoza tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Ayuntamiento de Zaragoza and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Ayuntamiento de Zaragoza responses and write comprehensive agent tests

Example Prompts for Ayuntamiento de Zaragoza in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Ayuntamiento de Zaragoza immediately.

"Search for monuments in Zaragoza named 'Goya'."

"Report a cleaning issue at Calle Mayor 10 using Open311."

"Check availability for an appointment in the 'Padron' agenda for tomorrow."

Troubleshooting Ayuntamiento de Zaragoza MCP Server with Pydantic AI

Common issues when connecting Ayuntamiento de Zaragoza to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Ayuntamiento de Zaragoza + Pydantic AI FAQ

Common questions about integrating Ayuntamiento de Zaragoza MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Ayuntamiento de Zaragoza MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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