How to Use the Datos.gob.es (Catálogo Nacional) MCP in CrewAI
Deploy specialized agent crews to analyze and catalog Spain's national open data using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Datos.gob.es (Catálogo Nacional) MCP to CrewAI
Create your Vinkius account to connect Datos.gob.es (Catálogo Nacional) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Deploy CrewAI agent teams for Spain open data
`list_datasets` serves as the primary data source for your research crew. One agent can gather the complete list of files while a second agent analyzes the metadata for specific public sector insights. This MCP Server enables your CrewAI agents to divide and conquer Spain's massive catalog. They share context dynamically, so the analyst agent always knows which datasets the researcher agent just discovered.
Delegate research by Spanish territory
`list_regions` and `list_provinces` allow your agents to segment their research by Spanish territory. A regional specialist agent can focus entirely on the Basque Country while another handles Andalusia. By calling `get_region` or `get_province`, each agent pulls localized datasets independently. They then compile their findings into a unified national report for your team.
Audit publishers and thematic categories
`list_publishers` and `list_themes` help your crew organize Spain's public sector data by source and category. Your moderator agent can assign specific publishers to specialized auditor agents. Using `list_datasets_by_publisher`, your agents track which Spanish government departments are publishing the most active datasets. It makes large-scale compliance auditing completely autonomous.
Set up Datos.gob.es (Catálogo Nacional) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Datos.gob.es (Catálogo Nacional) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Datos.gob.es (Catálogo Nacional) Analyst",
goal="Access and analyze Datos.gob.es (Catálogo Nacional) data via MCP.",
backstory="Expert analyst with direct Datos.gob.es (Catálogo Nacional) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Datos.gob.es (Catálogo Nacional) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Datos.gob.es (Catálogo Nacional) Analyst",
goal="Access and analyze Datos.gob.es (Catálogo Nacional) data via MCP.",
backstory="Expert analyst with direct Datos.gob.es (Catálogo Nacional) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Datos.gob.es (Catálogo Nacional) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Datos.gob.es. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Datos.gob.es (Catálogo Nacional) MCP in CrewAI
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