How to Use the Eurostat Trade — EU International Commerce MCP in AutoGen

Q: How do I give the Eurostat Trade — EU International Commerce tools to my AutoGen agents?

You use the mcpservertools function to load the tools from the MCP server's Vinkius endpoint. Then you just pass that tool list to your AssistantAgent constructor. The McpToolAdapter handles all the schema mapping for you.

Q: Can different AutoGen agents use different tools from the Eurostat Trade — EU International Commerce MCP server?

Absolutely. You can equip an "Economist" agent with getindustrialproduction and a "Trade Specialist" agent with gettradebyproduct. This lets you create specialized agents that collaborate using different data.

Q: Does this MCP server support AutoGen's streaming capabilities?

Yes, it works with the StreamableHttpServerParams transport. This means your agents can get data from the tools as it becomes available, which is critical for interactive conversations.

Let your AutoGen agents debate EU trade policy. One agent pulls data, another analyzes it, and a third flags risks.

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Setup Eurostat Trade — EU International Commerce with AutoGen

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Set Up an Economic Analysis Team

Assign `get_industrial_production` and `get_retail_trade` to a "Data Analyst" agent. Its job is to fetch the raw economic indicators for a given EU country. Then, a "Policy Advisor" agent can take that data and use `get_trade_balance` to put it in context. This creates a conversation where one agent provides facts and another provides interpretation, letting your AutoGen system reach a more nuanced conclusion.

Debate Supply Chain Strategy

Task one agent with finding single-source dependencies using `get_trade_by_product`. When it reports a risk—for example, a critical material imported only from one country—a second "Risk Manager" agent can challenge the finding. The agents can then debate the severity. The first agent provides the import data, while the second might use other tools to check for alternative suppliers. AutoGen lets you model these competing perspectives to make better decisions.

Automate Data Audits with AutoGen

Build a multi-agent workflow for data validation. An "Initiator" agent uses `get_trade_dataset` to fetch a large data file from Eurostat. This MCP server then passes the file to a "Verifier" agent, which can use other tools (like a code execution agent) to check for anomalies or inconsistencies. AutoGen provides the conversational framework to work with it collaboratively.

Setup guide

Set up Eurostat Trade — EU International Commerce 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 Eurostat Trade — EU International Commerce 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="Eurostat Trade — EU International Commerce_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Eurostat Trade — EU International Commerce data")
print(result.messages[-1].content)

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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="Eurostat Trade — EU International Commerce_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Eurostat Trade — EU International Commerce 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 Eurostat. 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 Eurostat Trade — EU International Commerce MCP in AutoGen

You use the `mcp_server_tools` function to load the tools from the MCP server's Vinkius endpoint. Then you just pass that tool list to your `AssistantAgent` constructor. The `McpToolAdapter` handles all the schema mapping for you.

Absolutely. You can equip an "Economist" agent with `get_industrial_production` and a "Trade Specialist" agent with `get_trade_by_product`. This lets you create specialized agents that collaborate using different data.

Have a user proxy ask "Should we worry about our trade deficit with China?". One agent can pull the numbers with `get_trade_balance`, another can break it down with `get_trade_by_product`, and a third can summarize the debate for a final answer.

Yes, it works with the `StreamableHttpServerParams` transport. This means your agents can get data from the tools as it becomes available, which is critical for interactive conversations.

Your agent conversations happen in your own environment. The server only sees stateless requests for public Eurostat data, like product trade statistics (SITC). Vinkius uses an ephemeral, zero-trust sandbox for each request, so nothing persists.

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