How to Use the UK ONS Discovery — Search 337+ Statistical Datasets MCP in Google ADK

Q: If I'm building an enterprise pipeline, how do I check available filters with Google ADK?

Use getdimensions. This tool shows you all filter options for a specific ONS dataset ID. If you only care about one dimension, run getdimensionoptions next to get the exact values.

Q: Can Google ADK handle complex data requirements using UK ONS Discovery — Search 337+ Statistical Datasets?

Yes. The server supports highly flexible filtering via getobservations. Your agent can combine multiple dimension filters (like time and geography) to query very specific, detailed records.

Q: What should I use if my user needs a dataset on business activity?

You'll want to start with searchdatasets. It lets you search by keywords like 'business' and the server returns matching IDs. Once that ID is confirmed, you can get more details using getdatasetinfo.

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Connect UK ONS Discovery — Search 337+ Statistical Datasets MCP to Google ADK

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Setup UK ONS Discovery — Search 337+ Statistical Datasets with Google ADK

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Your agent runs `get_observations` to query any specific ONS dataset by ID. Just give it the necessary filter parameters, and your workflow gets the exact data points you need from the 337+ catalog. Don't forget that before querying, your agent should first use `search_datasets` to nail down the correct dataset ID, which is essential for success.

Mapping Out ONS Filters with Google ADK

The server includes `get_dimension_options`, letting you find every possible filter value—be it geography codes or specific aggregate categories. This prevents the agent from failing due to bad input parameters. It's also smart to use `get_dimensions` when building your agent logic, as this tool shows all available dimensions for a given dataset ID.

Discovering and Browsing ONS Datasets

Need an overview of what's out there? Your agent can browse the entire catalog using `list_datasets`, helping you see all 337+ topics. This keeps your data exploration process organized. Alternatively, if you know a keyword—like 'population' or 'health'—`search_datasets` quickly narrows down results to match those criteria.

Setup guide

Set up UK ONS Discovery — Search 337+ Statistical Datasets 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 UK ONS Discovery — Search 337+ Statistical Datasets 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 Discovery — Search 337+ Statistical Datasets_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UK ONS Discovery — Search 337+ Statistical Datasets 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 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 Discovery — Search 337+ Statistical Datasets MCP in Google ADK

The MCP Server provides six tools your agent can call. Your workflow starts with `search_datasets` to find the ID, and then proceeds using `get_observations` to retrieve the structured data.

Use `get_dimensions`. This tool shows you all filter options for a specific ONS dataset ID. If you only care about one dimension, run `get_dimension_options` next to get the exact values.

Yes. The server supports highly flexible filtering via `get_observations`. Your agent can combine multiple dimension filters (like time and geography) to query very specific, detailed records.

You'll want to start with `search_datasets`. It lets you search by keywords like 'business' and the server returns matching IDs. Once that ID is confirmed, you can get more details using `get_dataset_info`.

This MCP Server accesses public statistical metadata, dimensions, and observations. The focus is on providing structured access to aggregated statistics through the defined tools.

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