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

Q: How does the Google ADK handle complex queries on USITC DataWeb (International Trade Commission)?

The Google ADK's long-context reasoning, combined with querytradedata, lets your agent process and act upon massive amounts of trade statistics. It holds 1M+ tokens of context, so the full query history doesn't become a problem.

Q: What is the best way to discover available USITC DataWeb (International Trade Commission) tables using Google ADK?

Start with listmetadatatables. This tool provides an immediate list of all datasets you can query. You then use listmetadatafields to drill down into the structure of any given table.

Q: Can I use the querytradedata tool with different classification systems using Google ADK?

Yes. The querytradedata tool is built to accept filters based on multiple standards, including HS, SITC, and NAICS classifications for comprehensive trade reporting.

Q: How do I ensure my agent uses correct international codes with the Google ADK?

Use listmetadatavalues. This function validates inputs by listing all accepted values (like country codes) associated with a specific field, preventing runtime errors.

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Connect USITC DataWeb (International Trade Commission) MCP to Google ADK

Create your Vinkius account to connect USITC DataWeb (International Trade Commission) to Google ADK 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 USITC DataWeb (International Trade Commission) with Google ADK

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Running Complex Trade Queries with Google ADK

Use `query_trade_data` to pull US international trade statistics directly into your agent workflow. Since it supports large filter sets via POST, you can query imports or exports using multiple HS, SITC, and NAICS classifications at once. This integration works perfectly with BigQuery, letting Gemini model's reason over massive datasets without losing context.

Mapping USITC DataWeb Metadata for Google ADK

Need to know the exact structure of a table? First, run `list_metadata_tables`, then use `list_metadata_fields`. This gives your agent a complete schema map. The process ensures that every piece of data retrieved from the USITC DataWeb (International Trade Commission) fits perfectly into Google Cloud structures. This systematic approach eliminates guesswork when building production agents.

Checking Valid Country Codes for Google ADK

To validate inputs, call `list_metadata_values`. Pass the specific field name—like 'country'—and it returns all valid country codes. This keeps your agent from submitting bad data when querying USITC trade statistics. It provides a reliable source of truth for international classifications.

Setup guide

Set up USITC DataWeb (International Trade Commission) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with USITC DataWeb (International Trade Commission) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="USITC DataWeb (International Trade Commission)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to USITC DataWeb (International Trade Commission) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USITC DataWeb. 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 USITC DataWeb (International Trade Commission) MCP in Google ADK

The Google ADK's long-context reasoning, combined with `query_trade_data`, lets your agent process and act upon massive amounts of trade statistics. It holds 1M+ tokens of context, so the full query history doesn't become a problem.

Start with `list_metadata_tables`. This tool provides an immediate list of all datasets you can query. You then use `list_metadata_fields` to drill down into the structure of any given table.

This MCP Server touches trade statistics and classification codes. All interactions are managed within your secure Google Cloud environment, allowing you to maintain control over the USITC DataWeb (International Trade Commission) data.

Yes. The `query_trade_data` tool is built to accept filters based on multiple standards, including HS, SITC, and NAICS classifications for comprehensive trade reporting.

Use `list_metadata_values`. This function validates inputs by listing all accepted values (like country codes) associated with a specific field, preventing runtime errors.

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