Bring Open Data
to CrewAI
Learn how to connect Datos.gob.es (Catálogo Nacional) to CrewAI and start using 22 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Datos.gob.es (Catálogo Nacional) MCP Server?
Connect to the official Datos.gob.es API to explore Spain's vast repository of public sector information. This MCP server allows AI agents to query, filter, and analyze thousands of datasets from national, regional, and local administrations.
What you can do
- Dataset Discovery — Search for specific datasets by title or browse the entire catalog with advanced pagination and sorting.
- Advanced Filtering — Narrow down results by publisher ID, specific themes (e.g., health, economy), or file formats like CSV, JSON, and RDF.
- Geographic Analysis — Filter data by spatial scope, including provinces, regions, or specific administrative levels.
- Metadata Inspection — Retrieve detailed metadata for any dataset, including its distributions, update frequency, and issuing body.
- Public Sector Mapping — List and inspect public sector organizations, provinces, and regions involved in the open data ecosystem.
How it works
- Subscribe to this server
- The server connects to the public Datos.gob.es API
- Start querying Spanish public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and inspect public datasets for research and reporting without manual browsing.
- Developers — identify API endpoints and data formats for integration into applications.
- Policy Researchers — track public sector transparency and data availability across different Spanish regions.
Built-in capabilities (22)
Get country-level information for Spain
Get a specific dataset by its URI identifier
g., Madrid). Get a specific province by ID
g., comercio). Get a specific primary sector by ID
g., Comunidad-Madrid). Get a specific Autonomous Community (Region) by ID
gob.es catalog. Get all datasets from the catalog
Filter datasets by modification date range
g., csv). Filter datasets by format
Filter datasets by keyword
g., A16003011). Filter datasets by publisher ID
g., word1=Autonomia, word2=Pais-Vasco). Filter datasets by geographic scope
g., hacienda). Filter datasets by theme/category
Get all data distributions
Get distributions by dataset ID
g., csv). Filter distributions by format
Get all provinces
Get the taxonomy of primary sectors
Get all publishers in the catalog
Get all Autonomous Communities (Regions)
Get all geographic coverage options
Get all categories/themes
Search datasets by title
Why CrewAI?
When paired with CrewAI, Datos.gob.es (Catálogo Nacional) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Datos.gob.es (Catálogo Nacional) 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
Datos.gob.es (Catálogo Nacional) in CrewAI
Datos.gob.es (Catálogo Nacional) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Datos.gob.es (Catálogo Nacional) 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 Datos.gob.es (Catálogo Nacional) in CrewAI
The Datos.gob.es (Catálogo Nacional) 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 22 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
Datos.gob.es (Catálogo Nacional) for CrewAI
Every tool call from CrewAI to the Datos.gob.es (Catálogo Nacional) 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 search for datasets containing a specific word in the title?
Use the search_datasets_by_title tool. Provide the string you are looking for in the title parameter, and the agent will return all matching datasets from the national catalog.
Is it possible to filter datasets by a specific file format like CSV or JSON?
Yes! Use the list_datasets_by_format tool and specify the format (e.g., 'csv', 'json', 'xlsx'). This will retrieve only the datasets that offer distributions in that format.
Can I find datasets belonging to a specific category like 'Health' or 'Environment'?
Absolutely. Use the list_datasets_by_theme tool with the corresponding theme ID. You can first use list_themes to see all available categories in the catalog.
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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