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 CrewAI?
When paired with CrewAI, Ayuntamiento de Zaragoza becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Ayuntamiento de Zaragoza tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Ayuntamiento de Zaragoza in CrewAI
Ayuntamiento de Zaragoza and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Ayuntamiento de Zaragoza to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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