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How to Use the USITC DataWeb (International Trade Commission) MCP in AutoGen

Get consensus on complex trade analyses using AutoGen's multi-agent debate framework.

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Connect USITC DataWeb (International Trade Commission) MCP to AutoGen

Create your Vinkius account to connect USITC DataWeb (International Trade Commission) 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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Debating Trade Query Logic

When multiple agents need to determine the best query, they can debate. One agent might suggest calling `list_metadata_tables` first, while another argues that they should check `list_metadata_fields`. This consensus-driven approach ensures all necessary metadata steps are taken before querying. The final decision on using tools like `query_trade_data` comes from the group discussion, meaning the resulting trade analysis is vetted by competing perspectives—it’s much more reliable than a single agent's guess.

Structuring Complex Trade Data Requests

The multi-agent setup handles complex requests like filtering trades across different classifications. One agent might focus on retrieving the correct data structure using `list_metadata_fields`, while a second focuses on the geographical scope via `list_metadata_values`. The final query uses `query_trade_data`, integrating all these disparate, vetted pieces of information into one comprehensive trade statistics report.

Schema Validation for USITC DataWeb (International Trade Commission)

AutoGen agents can validate the data schema before running a query. One agent calls `list_metadata_tables` to define the scope, and another verifies available fields using `list_metadata_fields`. This negotiation process prevents the execution of queries against incorrect or incomplete datasets. It forces the system to confirm all necessary components are present for querying USITC data, drastically reducing setup failures.

Setup guide

Set up USITC DataWeb (International Trade Commission) MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes USITC DataWeb (International Trade Commission) 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="USITC DataWeb (International Trade Commission)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent USITC DataWeb (International Trade Commission) data")
print(result.messages[-1].content)

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Common questions about USITC DataWeb (International Trade Commission) MCP in AutoGen

You pass the MCP tools to an AssistantAgent. The agents then discuss the necessary steps—calling `list_metadata_tables` or `query_trade_data`—and converge on the best execution plan.
Yes. The system can simulate a team effort, where agents debate which classifications (HS/SITC/NAICS) are best used for the `query_trade_data` function based on user intent.
Agents can use `list_metadata_values` to validate country codes and other parameters, ensuring the input for any trade query is accurate before it reaches the MCP Server.
The multi-agent architecture allows you to build systems that negotiate between different tool calls, effectively managing inputs from various metadata tools before running the final `query_trade_data`.
Always verify the structure and available values by checking metadata. The most common required parameter to validate is the country code, using `list_metadata_values`.

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