How to Use the IBESTAT (Estadística Illes Balears) MCP in CrewAI
Deploy a crew of autonomous agents to research and analyze Balearic statistics using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IBESTAT (Estadística Illes Balears) MCP to CrewAI
Create your Vinkius account to connect IBESTAT (Estadística Illes Balears) 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.
Collaborative Research with CrewAI
Assign an agent to `list_resources` to hunt for relevant datasets, while another agent uses `get_data` to pull the actual numbers. They share memory to ensure the crew stays aligned. This specialization is powerful for deep statistical dives. One agent finds the target, the other retrieves the content, and the third synthesizes the final report.
Autonomous Monitoring Pipelines
Set up a monitor agent to periodically check for updates using `list_operations`. If new data appears, it triggers the rest of the crew to react. This keeps your intelligence fresh without human prompting. You build the crew, set the frequency, and the agents maintain the oversight of the regional data.
Context-Aware Agent Analysis
Each agent uses `get_metadata` to understand the data it just pulled. This prevents misinterpretation of statistical units or regional classifications. Your agents act with the context of a data scientist. They don't just dump raw numbers; they interpret the Balearic statistics based on the provided metadata.
Set up IBESTAT (Estadística Illes Balears) 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 IBESTAT (Estadística Illes Balears) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="IBESTAT (Estadística Illes Balears) Analyst",
goal="Access and analyze IBESTAT (Estadística Illes Balears) data via MCP.",
backstory="Expert analyst with direct IBESTAT (Estadística Illes Balears) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent IBESTAT (Estadística Illes Balears) 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="IBESTAT (Estadística Illes Balears) Analyst",
goal="Access and analyze IBESTAT (Estadística Illes Balears) data via MCP.",
backstory="Expert analyst with direct IBESTAT (Estadística Illes Balears) access.",
tools=mcp_tools,
)
task = Task(
description="List recent IBESTAT (Estadística Illes Balears) 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 IBESTAT. 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 IBESTAT (Estadística Illes Balears) MCP in CrewAI
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