UK ONS Full MCP. Analyze UK GDP, Inflation, Population & Trade Data.

This is your deep dive into British data from the Office for National Statistics (ONS). It's a mega-server that gives you twenty specialized tools to query everything from national GDP figures to local well-being estimates. You don't need an API key or to know complex dataset IDs; you just use your AI client to run the queries.

You can build complex reports by linking different data points together. For example, you can compare quarterly get_gdp growth rates against current inflation using get_cpih, all in one shot. You'll also find yourself tracking consumer spending trends by combining near real-time insights from get_spending_cards with the historical value and volume changes shown in get_retail_sales.

When you need to link macroeconomics to local life, you can run demographic impact analyses that tie population forecasts—retrieved using get_population_projections—to localized well-being estimates from get_wellbeing_local, or even map those projections against regional suicide rates found with get_suicides. You can also analyze how goods imports and exports, detailed by get_trade, correlate directly with the number of active businesses using get_business_counts.

For a full picture of household finances, you can look at both the impact of direct and indirect taxation versus benefits using get_tax_benefits. You'll also get weekly national statistics detailing death registrations via get_weekly_deaths, which breaks down data by age, sex, and region. To gauge economic momentum outside of traditional metrics, you can use get_traffic_activity to look at weekly traffic camera movement as an experimental indicator for social shifts.

To understand the full scope of UK commerce, you've got get_economy_dataset, which lets you query any main ONS economy dataset—like GDP or retail sales—using flexible filter parameters. You can also get a comprehensive view of how much goods are traded by country using get_trade. For more granular data on the physical movement of people, get_traffic_activity gives weekly camera counts that signal economic health.

When you're starting out and don't know where to look, you can use list_datasets to browse all 337+ available datasets in the complete ONS catalog by category. If you need something specific, run search_datasets using keywords to find matching dataset IDs and titles across the whole catalog. Once you have a potential ID, you've got tools to help you figure out the exact filters: use get_dimensions to list all available dimensions for any dataset, and check get_dimension_options to see specific filter values like regions or time periods.

You can also run get_dataset_info to look up metadata on a specific ONS dataset, confirming its dimensions and versions before you pull data.

If you know the exact ID of a dataset, running get_observations queries that dataset, letting you use complex dimension filters to pull only the metrics you need. You can also narrow your focus by using get_dimensions and get_dimension_options on any dataset type, ensuring you don't waste time querying bad parameters.

This server handles everything from tracking household behavior with combined data from get_spending_cards (weekly debit/credit card transactions) and get_retail_sales (monthly consumer spending index), to running comparative reports linking population forecasts via get_population_projections to localized well-being estimates. You can also query national statistics on suicide registrations across local authorities in England and Wales using get_suicides.

Every metric you need—from the quarterly figures of get_gdp broken down by region, to monthly goods trade flows via get_trade—is here.