How to Use the Gipuzkoa Irekia MCP in CrewAI

Q: How do I delegate Gipuzkoa Irekia MCP tools to specific agents in crewai?

Pass the MCP server URL in the mcps list of your Agent configuration. You can assign searchpackages to your researcher agent while leaving showresource to your data analyst agent.

Q: How do I limit which Gipuzkoa Irekia MCP Server tools a crewai agent can access?

Use the MCPServerHTTP class from crewai.mcp and specify a toolfilter. This lets you restrict access, ensuring a specific agent can only run listgroups and not fetch full resources.

Q: How do I extract the actual data files from a dataset?

Have your agent call showpackage to get the list of resources, then use showresource to retrieve the direct download URLs for the CSV or JSON files.

Deploy specialized agent teams to analyze Basque regional data using CrewAI and Gipuzkoa Irekia.

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Connect Gipuzkoa Irekia MCP to CrewAI

Create your Vinkius account to connect Gipuzkoa Irekia 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.

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Setup Gipuzkoa Irekia with CrewAI

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Coordinate multi-agent research with CrewAI

`search_packages` allows your research agent to scan the entire Basque public data catalog for specific policy topics. This agent then hands off the matching package IDs to an analyst agent in your crew. The analyst agent uses `show_package` to extract specific metadata and URLs. By dividing the labor, your CrewAI team avoids rate limits and processes regional datasets in parallel.

Map regional departments via MCP Server

`list_organizations` lists the administrative bodies in the Gipuzkoa government. A specialized supervisor agent uses this list to assign specific departments to individual researcher agents in your crew. Each researcher agent calls `show_organization` to deep-dive into that department's published assets. This MCP Server integration allows your crew to build a complete directory of regional open data sources autonomously.

Automated thematic classification

`list_groups` retrieves the thematic categories defined by the Basque portal. Your categorization agent uses this list as a reference to classify unorganized local documents. Using `show_group`, the agent verifies which datasets belong to which category. This collaborative process ensures your local knowledge base aligns perfectly with official Basque government classifications.

Setup guide

Set up Gipuzkoa Irekia MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Gipuzkoa Irekia tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Gipuzkoa Irekia Analyst",
    goal="Access and analyze Gipuzkoa Irekia data via MCP.",
    backstory="Expert analyst with direct Gipuzkoa Irekia access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Gipuzkoa Irekia transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Gipuzkoa Irekia Analyst",
        goal="Access and analyze Gipuzkoa Irekia data via MCP.",
        backstory="Expert analyst with direct Gipuzkoa Irekia access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Gipuzkoa Irekia transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gipuzkoa Irekia. 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 Gipuzkoa Irekia MCP in CrewAI

Pass the MCP server URL in the `mcps` list of your Agent configuration. You can assign `search_packages` to your researcher agent while leaving `show_resource` to your data analyst agent.

Yes, you can set up a sequential crew where the first agent runs `search_packages` for budget datasets, and the second agent compares the results with previous runs stored in shared memory.

Use the `MCPServerHTTP` class from `crewai.mcp` and specify a `tool_filter`. This lets you restrict access, ensuring a specific agent can only run `list_groups` and not fetch full resources.

Have your agent call `show_package` to get the list of resources, then use `show_resource` to retrieve the direct download URLs for the CSV or JSON files.

Yes. The Vinkius platform runs the server in an ephemeral container. Your CrewAI team connects using a secure token, and no Basque public datasets and metadata or query parameters are recorded or stored.

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