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

Q: How do I automate querying UK economic data using UK ONS Discovery — Search 337+ Statistical Datasets and Claude Code?

You run a single command that first uses searchdatasets to get the ID, then pipes it into getdimensions for filter validation, and finally executes getobservations entirely from the terminal.

Q: If I need to check available filter values for a dataset using UK ONS Discovery — Search 337+ Statistical Datasets and Claude Code?

You execute getdimensions directly in your shell script. The output lists all valid options, which you can then parse and use immediately in subsequent commands.

Q: Can I query a dataset using UK ONS Discovery — Search 337+ Statistical Datasets from the terminal? (Claude Code)

Definitely. You combine searchdatasets with the appropriate dimension filters and run getobservations all in one headless command line execution.

Headless stats queries: Run ONS statistical data pipelines via Claude Code terminal.

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Pipeline structured data querying

You can pipe the output of `get_observations` directly into other shell tools. This means your CI/CD script runs a query against an ONS statistical set and immediately processes the JSON result for further analysis. Use this in a Docker container or GitHub Action to automate reporting on UK data without needing any GUI whatsoever.

Automated dataset discovery

Need to find the right ONS statistical set for an automated job? Start by calling `search_datasets` with keywords. The output provides a stream of matching dataset IDs, titles, and descriptions. This lets your script dynamically select the correct MCP Server ID before querying any actual data.

Identify filter parameters headless

Before running a massive query, you must know the filters. Running `get_dimensions` gives you a list of available dimensions and their options that can be passed as command-line arguments. This capability is perfect for scripting because it provides clean metadata output that your script can parse immediately.

Setup guide

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

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see uk-ons-discovery-search-337-statistical-datasets-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest UK ONS Discovery — Search 337+ Statistical Datasets transactions." It will automatically discover and invoke the available UK ONS Discovery — Search 337+ Statistical Datasets tools.

Terminal

claude mcp add --transport http uk-ons-discovery-search-337-statistical-datasets-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

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

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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 Claude Code

You run a single command that first uses `search_datasets` to get the ID, then pipes it into `get_dimensions` for filter validation, and finally executes `get_observations` entirely from the terminal.

Yes. By running your MCP Server connection in an SSH session or GitHub Action, you treat it like a reliable service that can pull the latest metrics and process them immediately.

This MCP Server handles statistical dimensions like geography codes. It never exposes personal identifiers or private records, making it safe for CI/CD pipelines.

You execute `get_dimensions` directly in your shell script. The output lists all valid options, which you can then parse and use immediately in subsequent commands.

Definitely. You combine `search_datasets` with the appropriate dimension filters and run `get_observations` all in one headless command line execution.

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