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How to Use the UK ONS Discovery — Search 337+ Statistical Datasets MCP in VS Code Copilot

Access UK statistical datasets directly into your team's code with VS Code Copilot.

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VS Code Copilot

Connect UK ONS Discovery — Search 337+ Statistical Datasets MCP to VS Code Copilot

Create your Vinkius account to connect UK ONS Discovery — Search 337+ Statistical Datasets to VS Code Copilot 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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Discovering the Dataset Catalog

Use `search_datasets` to find matching ONS dataset IDs by keyword. The tool returns titles, descriptions, and IDs across 337+ datasets, letting your whole team know exactly what data is available. This capability means you don't have to manually check documentation; Copilot can automatically locate the right source for your project.

Listing Available Dimensions

The `get_dimensions` tool lists all potential filters for a specific dataset. It provides every dimension—like region, time period, or category—so you know what variables to build into your query. This prevents common errors where developers try to filter by non-existent parameters. The team gets reliable metadata right in the editor.

Querying Statistical Observations

To retrieve numbers, run `get_observations`. You provide a dataset ID and dimension filters (found using `get_dimensions`). Copilot then writes the code to pull the raw statistics. It's simple: find the data source, map the fields, get the results. The entire process is managed within your shared repository configuration.

Setup guide

Set up UK ONS Discovery — Search 337+ Statistical Datasets MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the UK ONS Discovery — Search 337+ Statistical Datasets MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the UK ONS Discovery — Search 337+ Statistical Datasets tools listed. Try asking: "List my recent UK ONS Discovery — Search 337+ Statistical Datasets transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "uk-ons-discovery-search-337-statistical-datasets-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 VS Code Copilot

Start by running `search_datasets` to get the ID. Next, use `get_dimensions` on that ID to list all required filter options. Finally, execute `get_observations`, passing those filters into your code block.
The `list_datasets` function lets you paginate through the entire catalog of 337+ datasets. This is perfect for onboarding new team members who need a full overview.
Always use `get_dimensions`. This tool gives you a complete list of available dimensions for any given dataset ID. It ensures your code uses valid query parameters.
This server handles public ONS statistical parameters and metadata, focusing on dimension options, IDs, and observation values from UK statistics. No private user data is involved.
When you call `get_observations`, make sure your dimension filters include setting the time parameter to `*=` for full historical coverage. The tool handles the complex date range logic.

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