Aragón Open Data MCP Server for CrewAIGive CrewAI instant access to 15 tools to Count Datasets, Get Dataset, Get Organization, and more

Name: Aragón Open Data
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Aragón Open Data through Vinkius, pass the Edge URL in the `mcps` parameter and every Aragón Open Data tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Aragón Open Data MCP Server for CrewAI is a standout in the Knowledge Management category — giving your AI agent 15 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Aragón Open Data Specialist",
    goal="Help users interact with Aragón Open Data effectively",
    backstory=(
        "You are an expert at leveraging Aragón Open Data 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 Aragón Open Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 15 available tools "
        "and what they can do."
    ),
)

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

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About Aragón Open Data MCP Server

Connect to the Aragón Open Data portal and unlock a wealth of public information from the Government of Aragón. This MCP server allows your AI agent to browse, search, and analyze regional datasets, statistical views, and organizational metadata through natural language.

When paired with CrewAI, Aragón Open Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Aragón Open Data 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

Data Exploration — List all available views and datasets from the GA_OD_Core and CKAN catalogs.
Deep Data Preview — Fetch and preview actual records from specific views or resources with support for filtering and pagination.
Schema Inspection — Understand the structure of data by retrieving column names and data types for any specific view.
Advanced Search — Use Solr-powered queries to find specific datasets, tags, or organizations within the public catalog.
Publisher Insights — Retrieve detailed information about the organizations and themes (groups) that publish data in the region.

The Aragón Open Data MCP Server exposes 15 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 15 Aragón Open Data tools available for CrewAI

When CrewAI connects to Aragón Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, aragon, ckan, 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.

count

Count datasets on Aragón Open Data

Get total dataset count

get

Get dataset on Aragón Open Data

Get dataset details

get

Get organization on Aragón Open Data

Get publisher/organization details

get

Get tag on Aragón Open Data

Get tag details

list

List datasets on Aragón Open Data

List all datasets (packages)

list

List groups on Aragón Open Data

List all themes/groups

list

List organizations on Aragón Open Data

List all publishers/organizations

list

List tags on Aragón Open Data

List all tags

list

List views on Aragón Open Data

List all available views in Aragón Open Data

most

Most downloaded datasets on Aragón Open Data

Get most downloaded datasets

newest

Newest datasets on Aragón Open Data

Get newest datasets

preview

Preview data on Aragón Open Data

By default, it returns the first 1000 records. Preview data from a view or resource

query

Query sparql on Aragón Open Data

Supports ontologies like EI2A, Aragopedia, ELI, and DataCube. Execute a SPARQL query

Search datasets on Aragón Open Data

Search for datasets

show

Show columns on Aragón Open Data

Get information about columns for a specific view

Connect Aragón Open Data to CrewAI via MCP

Follow these steps to wire Aragón Open Data 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 15 tools from Aragón Open Data

Why Use CrewAI with the Aragón Open Data MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Aragón Open Data 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

Aragón Open Data + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Aragón Open Data MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Aragón Open Data 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 Aragón Open Data, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Aragón Open Data 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 Aragón Open Data against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Aragón Open Data in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Aragón Open Data immediately.

"List all available data views in Aragón Open Data."

"Search for datasets related to 'turismo' in the catalog."

"Show me the first 5 records from the view with ID '702'."

Troubleshooting Aragón Open Data MCP Server with CrewAI

Common issues when connecting Aragón Open Data 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.

Aragón Open Data + CrewAI FAQ

Common questions about integrating Aragón Open Data 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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