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How to Use the UK ONS Full — Complete Statistical Intelligence MCP in Google ADK

Build enterprise AI workflows with UK ONS Full — Complete Statistical Intelligence and Google ADK.

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Connect UK ONS Full — Complete Statistical Intelligence MCP to Google ADK

Create your Vinkius account to connect UK ONS Full — Complete Statistical Intelligence 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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Analyzing inflation and spending.

Use `get_cpih` to get the official UK inflation measure, CPIH. Remember to filter by aggregate (`cpih1dim1A0 = all items`) and geography (`K02000001 = UK`) for national totals. For consumer spending patterns, the `get_spending_cards` tool provides weekly debit and credit card data that's great for identifying shifts in behavior.

Forecasting population changes.

The `get_population_projections` tool retrieves UK population estimates for older people, specifically tracking sex ratios by local authority. This is essential for long-term planning. Need to check other demographic shifts? The general `get_dimensions` function helps you find all dimension options across any ONS dataset.

Getting deep economic context.

The `get_gdp` tool handles both quarterly and annual UK GDP data, allowing the agent to build a full time series. You can scope this by region or sector for deeper analysis. If you're looking at general market health, use `search_datasets`. It finds matching IDs across all 337+ ONS datasets, directing your queries.

Setup guide

Set up UK ONS Full — Complete Statistical Intelligence 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 Full — Complete Statistical Intelligence 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 Full — Complete Statistical Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UK ONS Full — Complete Statistical Intelligence 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 Full — Complete Statistical Intelligence MCP in Google ADK

You can start by calling `get_dataset_info` to understand the metadata for any specific dataset. This helps your agent confirm dimensions, editions, and versions before making a query.
Yes. Use `get_business_counts` to get UK business numbers by local units, enterprises, and industry from the IDBR data source.
First, use `search_datasets` to find a dataset ID. Then, pass that ID into `get_observations`, combining it with dimension filters to execute the query.
The server has specific tools for this. Use `get_weekly_deaths` to retrieve national stats on deaths in England and Wales, which you can filter by age, sex, and region.
This server touches statistical demographic data, including local authority population projections and suicide registrations. Always ensure your agent handles this sensitive information within BigQuery security.

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