Datos.gob.es (Catálogo Nacional) MCP Server for CrewAIGive CrewAI instant access to 22 tools to Get Country Spain, Get Dataset, Get Province, and more

Name: Datos.gob.es (Catálogo Nacional)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Datos.gob.es (Catálogo Nacional) through Vinkius, pass the Edge URL in the `mcps` parameter and every Datos.gob.es (Catálogo Nacional) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Datos.gob.es (Catálogo Nacional) MCP Server for CrewAI is a standout in the Knowledge Management category — giving your AI agent 22 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Datos.gob.es (Catálogo Nacional) Specialist",
    goal="Help users interact with Datos.gob.es (Catálogo Nacional) effectively",
    backstory=(
        "You are an expert at leveraging Datos.gob.es (Catálogo Nacional) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Datos.gob.es (Catálogo Nacional) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 22 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About 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.

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.

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.

The Datos.gob.es (Catálogo Nacional) MCP Server exposes 22 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 22 Datos.gob.es (Catálogo Nacional) tools available for CrewAI

When CrewAI connects to Datos.gob.es (Catálogo Nacional) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, spain, public-sector, 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.

get

Get country spain on Datos.gob.es (Catálogo Nacional)

Get country-level information for Spain

get

Get dataset on Datos.gob.es (Catálogo Nacional)

Get a specific dataset by its URI identifier

get

Get province on Datos.gob.es (Catálogo Nacional)

g., Madrid). Get a specific province by ID

get

Get public sector on Datos.gob.es (Catálogo Nacional)

g., comercio). Get a specific primary sector by ID

get

Get region on Datos.gob.es (Catálogo Nacional)

g., Comunidad-Madrid). Get a specific Autonomous Community (Region) by ID

list

List datasets on Datos.gob.es (Catálogo Nacional)

gob.es catalog. Get all datasets from the catalog

list

List datasets by date on Datos.gob.es (Catálogo Nacional)

Filter datasets by modification date range

list

List datasets by format on Datos.gob.es (Catálogo Nacional)

g., csv). Filter datasets by format

list

List datasets by keyword on Datos.gob.es (Catálogo Nacional)

Filter datasets by keyword

list

List datasets by publisher on Datos.gob.es (Catálogo Nacional)

g., A16003011). Filter datasets by publisher ID

list

List datasets by spatial on Datos.gob.es (Catálogo Nacional)

g., word1=Autonomia, word2=Pais-Vasco). Filter datasets by geographic scope

list

List datasets by theme on Datos.gob.es (Catálogo Nacional)

g., hacienda). Filter datasets by theme/category

list

List distributions on Datos.gob.es (Catálogo Nacional)

Get all data distributions

list

List distributions by dataset on Datos.gob.es (Catálogo Nacional)

Get distributions by dataset ID

list

List distributions by format on Datos.gob.es (Catálogo Nacional)

g., csv). Filter distributions by format

list

List provinces on Datos.gob.es (Catálogo Nacional)

Get all provinces

list

List public sectors on Datos.gob.es (Catálogo Nacional)

Get the taxonomy of primary sectors

list

List publishers on Datos.gob.es (Catálogo Nacional)

Get all publishers in the catalog

list

List regions on Datos.gob.es (Catálogo Nacional)

Get all Autonomous Communities (Regions)

list

List spatial options on Datos.gob.es (Catálogo Nacional)

Get all geographic coverage options

list

List themes on Datos.gob.es (Catálogo Nacional)

Get all categories/themes

Search datasets by title on Datos.gob.es (Catálogo Nacional)

Search datasets by title

Connect Datos.gob.es (Catálogo Nacional) to CrewAI via MCP

Follow these steps to wire Datos.gob.es (Catálogo Nacional) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 22 tools from Datos.gob.es (Catálogo Nacional)

Why Use CrewAI with the Datos.gob.es (Catálogo Nacional) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Datos.gob.es (Catálogo Nacional) through the Model Context Protocol.

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 `mcps` parameter 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) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Datos.gob.es (Catálogo Nacional) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Datos.gob.es (Catálogo Nacional) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Datos.gob.es (Catálogo Nacional), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Datos.gob.es (Catálogo Nacional) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Datos.gob.es (Catálogo Nacional) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Datos.gob.es (Catálogo Nacional) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Datos.gob.es (Catálogo Nacional) immediately.

"Search for datasets related to 'transporte' in the Spanish open data catalog."

"List all datasets that are available in CSV format."

"Show me the themes or categories available in the Datos.gob.es catalog."

Troubleshooting Datos.gob.es (Catálogo Nacional) MCP Server with CrewAI

Common issues when connecting Datos.gob.es (Catálogo Nacional) to CrewAI through Vinkius, and how to resolve them.

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.

Datos.gob.es (Catálogo Nacional) + CrewAI FAQ

Common questions about integrating Datos.gob.es (Catálogo Nacional) MCP Server with CrewAI.

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.

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