StatsMapped: Irish statistics (CSO, county & council data)
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Alternatives to StatsMapped: Irish statistics (CSO, county & council data)
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- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to search, preview, and query Ireland's public-sector open data catalogue, including CSV, Excel, JSON, GeoJSON, and JSON-stat resources. It supports filtering, grouping, counting, summing, and sorting datasets conversationally without manual downloads or cleanup.MIT

ELS MCP serverofficial
FlicenseNot gradedqualityBmaintenanceEnables LLM agents to query the Explore Local Statistics API for local area data like employment rates and demographics.-- AlicenseAqualityBmaintenanceEnables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.146 npm7MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, inspect, and retrieve Irish Central Statistics Office PxStat datasets through MCP tools. Supports catalog search, metadata discovery, full-table reads, and filtered JSON-stat queries.59 npmMIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI agents to query and retrieve public statistical data from Data Commons through search and observation tools. Provides access to demographic, economic, and other statistical indicators for analysis and research.Apache 2.0
- AlicenseAqualityFmaintenanceEnables 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.548 npmMIT
TDQS
Scored across 4 tools
The four tools have clearly distinct jobs: retrieving data (query_data), listing geographies (list_areas), comparing/ranking statistics (compare), and explaining metric definitions (explain_metric). Despite compound modes inside query_data and compare, the descriptions enforce mutually exclusive argument patterns that prevent ambiguity.
Three tools follow a clear verb_noun snake_case pattern (query_data, list_areas, explain_metric), and 'compare' is also a verb in the same style but lacks an explicit noun object. Overall the naming is predictable and readable, with only this minor inconsistency.
Four tools is well within the ideal range for this server's read-only statistics domain. Each tool represents a distinct capability and intentionally consolidates multiple related modes, so no tool feels redundant or missing.
The server covers the full query workflow: discover datasets, list geographies, get area/dataset detail with history, rank/compare areas, check registered pair comparisons, and explain metric methodology. The documented limitations around registered comparisons and country matching are described as deliberate constraints, not gaps.