Compatible with every major AI agent and IDE
What is the 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.
What you can do
- Public Datasets — Query information on monuments, restaurants, city equipment, and more using the
query_datasettool. - 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.
How it works
- Subscribe to this server
- Provide your Zaragoza API Key and Client ID (optional for public data, required for citizen services)
- Start querying city data or managing your administrative requests from any MCP-compatible client
Who is this for?
- Citizens — report issues in the city or book appointments for municipal services easily.
- Developers & Researchers — access structured urban data and semantic datasets for analysis.
- Tourists — find monuments, restaurants, and points of interest with real-time city data.
Built-in capabilities (17)
Requires authentication. Book an appointment (Cita Previa)
Requires authentication. Create a new collaborative map
Requires authentication. Delete a collaborative map
zaragoza.es/sparql. Execute a SPARQL query against Zaragoza Semantic Web endpoint
Get appointment availability for a specific day
Get details of a specific Cita Previa agenda
Get details of a collaborative map
Get my booked appointments
Get details of a specific Open311 request
Get Open311 service definition
List Cita Previa (Appointment) agendas
List Open311 requests
List Open311 services (Quejas y Sugerencias)
List collaborative public maps
List collaborative maps for a specific user
Query a generic Zaragoza dataset (e.g., restaurante, monumento)
Requires authentication credentials. Submit an Open311 request (Queja/Sugerencia)
Why Pydantic AI?
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.
- —
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
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Dependency injection system cleanly separates your Ayuntamiento de Zaragoza connection logic from agent behavior for testable, maintainable code
Ayuntamiento de Zaragoza in Pydantic AI
Ayuntamiento de Zaragoza and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Ayuntamiento de Zaragoza to Pydantic 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 Ayuntamiento de Zaragoza in Pydantic AI
The Ayuntamiento de Zaragoza 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 17 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic 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
Ayuntamiento de Zaragoza for Pydantic AI
Every tool call from Pydantic AI to the Ayuntamiento de Zaragoza MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find specific monuments or restaurants in Zaragoza?
Use the query_dataset tool. You can specify the dataset (e.g., 'monumento' or 'restaurante') and apply filters like 'q' for names or 'point' and 'distance' for proximity searches.
Can I report a broken street light or a pothole using this server?
Yes! Use the submit_open311_request tool. You'll need to provide the service_code (which you can find via list_open311_services) and a description of the issue.
How do I check if there are available slots for a city hall appointment?
First, list available agendas with list_agendas, then use get_agenda_availability with the specific agenda ID to see open time slots.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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