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How to Use the UK ONS Trade — International Trade & Business Activity MCP in Google ADK

Run enterprise agents on Google ADK for deep analysis of UK ONS Trade data.

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Google ADK

Connect UK ONS Trade — International Trade & Business Activity MCP to Google ADK

Create your Vinkius account to connect UK ONS Trade — International Trade & Business Activity 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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Model business counts with Google ADK.

You can access UK business numbers using the `get_business_counts` tool. This dataset draws from the IDBR register, providing breakdowns by industry and local unit. Because your agents integrate natively with BigQuery, you'll find it easy to join this census-style data against other enterprise records you keep.

Analyze goods trade using Google ADK.

Use `get_trade` to pull detailed UK goods trade metrics. You get imports, exports, and the balance by commodity and partner country every month. This data is non-seasonally adjusted and available in £ million values, making it ideal for long-context modeling within your Gemini agent.

Use traffic activity indicators with Google ADK.

The `get_traffic_activity` tool provides experimental data on UK economic movement. This indicator helps track social and commercial change in real time. Your LlmAgent can process these signals alongside the structured ONS trade data, allowing for deep reasoning about economic shifts.

Setup guide

Set up UK ONS Trade — International Trade & Business Activity 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. 1

    Install Google ADK

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

  2. 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. 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. 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 UK ONS Trade — International Trade & Business Activity 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="UK ONS Trade — International Trade & Business Activity_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UK ONS Trade — International Trade & Business Activity tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UK ONS. 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 UK ONS Trade — International Trade & Business Activity MCP in Google ADK

Since your agents are designed to work with BigQuery, you can structure the MCP toolset call to execute queries that merge business counts and trade data directly within the Google Cloud ecosystem.
Yes. The `get_trade` tool provides monthly, non-seasonally adjusted data for goods trade. This consistency means you can build robust time series analysis across years.
The `get_business_counts` tool allows filtering by specific industry and geography. You can pass these parameters to your agent's query, narrowing down results precisely.
You combine the structured data from `get_business_counts` with the experimental index from `get_traffic_activity`. Your agent can process both datasets together for a holistic view.
The server touches business counts and trade values. Because the data is aggregated by commodity, country, or local unit, it keeps individual enterprise details private.

Start using the UK ONS Trade — International Trade & Business Activity MCP today

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