How to Use the Gipuzkoa Irekia MCP in AutoGen

Give your AutoGen multi-agent teams the ability to debate and analyze Basque open data with live API access.

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Connect Gipuzkoa Irekia MCP to AutoGen

Create your Vinkius account to connect Gipuzkoa Irekia to AutoGen 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 AutoGen

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Coordinate AutoGen searches for public data

The MCP Server enables your AutoGen research agent to run `search_packages` to find relevant regional datasets. A separate analyst agent then reviews the results to verify they match the user's criteria. This collaborative process ensures you only download high-quality files. The agents negotiate which dataset is most relevant before proceeding to the extraction phase.

Validate regional resources through agent debate

Your agents call `show_resource` to inspect the format and metadata of specific Basque data files. A quality-assurance agent can flag outdated formats while the data-fetcher agent proposes alternatives. This setup eliminates manual validation steps in your data pipeline. The conversation loop continues until the agents agree on the best resource URL to use.

Map regional publishers with specialized MCP tools

One of your specialized agents uses `list_organizations` to build a directory of Basque public departments. Another agent cross-references this list with active projects to identify key stakeholders. By separating these tasks, your multi-agent system processes large volumes of organizational data without hitting token limits. The agents share context through structured chat conversations.

Setup guide

Set up Gipuzkoa Irekia MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Gipuzkoa Irekia tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Gipuzkoa Irekia_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Gipuzkoa Irekia data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Gipuzkoa Irekia_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Gipuzkoa Irekia data")
    print(result.messages[-1].content)

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 AutoGen

Use the MCP tool adapter to convert the server's tools into AutoGen-compatible schemas. You then register these tools with your AssistantAgent during initialization.

Yes, the server handles concurrent requests from different agents in your conversation. Each agent can call tools like `search_resources` independently as the debate progresses.

If an API call fails, the tool returns the error message directly to the calling agent. The agent then discusses the failure with its peers to formulate a corrected query.

The server supports both stdio and streamable HTTP transports. This flexibility allows your multi-agent system to run locally or connect to cloud-hosted endpoints.

All tool executions run in secure V8 isolate sandboxes on the Vinkius MCP platform. Your private agent conversations and the retrieved Basque public CSV metadata remain completely isolated from other users.

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