nomis-mcp
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- AlicenseAqualityBmaintenanceProvides access to UK economic, social, and labour-market statistics via the ONS beta and Nomis APIs, enabling discovery and retrieval of time series, datasets, and census data.18MIT
- AlicenseAqualityDmaintenanceEnables access to official UK Office for National Statistics data including demographics, economics, and social statistics through the ONS Beta API. Supports browsing, searching, and querying datasets with built-in shortcuts for popular statistics like inflation, regional GDP, and wellbeing data.515 npmMIT
- FlicenseNot gradedqualityDmaintenanceExposes the Eurostat Statistics API, enabling LLMs to discover, explore, and retrieve official EU statistical data through search, dimension inspection, and data retrieval tools.3-
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- AlicenseAqualityCmaintenanceMIT ABS sister MCP — same five tools, citations. Pair with the ausdata gateway for joins and Embed.7264 PyPI1MIT
TDQS
Scored across 6 tools
Each tool maps to a distinct stage of the NOMIS workflow: authentication, dataset discovery, dimension introspection, code lookup, inline data retrieval, and file-based retrieval. Even fetch_data and fetch_data_to_file are cleanly separated by output mode and result size, with explicit guidance on when to use each.
All six tools follow a consistent verb_noun pattern: check_auth, search_datasets, get_dataset_dimensions, search_codes, fetch_data, fetch_data_to_file. The one compound name still fits the same convention and is easy to predict.
Six tools is a well-scoped size for a read-only statistics API wrapper. Each tool earns its place and together they cover discovery, preparation, and retrieval without bloat.
The tool set covers the full read-only lifecycle: find datasets, inspect dimensions, resolve codes, fetch small results, and stream large results to file. No obvious dead ends or missing operations for the stated purpose of accessing NOMIS data.