Connect-MCP

StatsMapped Public Data

com.statsmapped/public-data · v0.3.2

Public statistics for Ireland and the UK: housing, crime, health, economy, welfare, with caveats.

MCPremotelocal · pypino credentialsScience & open data

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 85/100

What it does: 4 tools · 4 read, 0 write

Test call list_areas: worked (2,028 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: 0
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.statsmapped.com/mcp
Package
registry:   pypi
identifier: statsmapped-mcp
version:    0.3.2
transport:  stdio

Tools

4 tools listed at last check
  • query_data Three modes, depending on which of `area_id`/`dataset` are given -- consolidates what were three separate tools (list_datasets, list_area_datasets, get_dataset_for_area) behind one, since they are all really "how do I get data" at different levels of specificity: 1. Neither `area_id
  • list_areas List every geography at one boundary level, for one country ('ireland' or 'united-kingdom'). `level` defaults to "county" (Ireland's 26 counties); the UK's own primary level is "lad" (local authority districts), not "county". Other levels exist per country (e.g. Ireland's "local_authorit
  • compare Four modes, depending on which arguments are given -- consolidates what were four separate tools (rank_areas, list_comparisons, get_comparison, check_comparability) behind one, since they are all really "how does this stat compare" at different scopes. Exactly one mode's arguments should
  • explain_metric Definition, methodology and standing caveats for ONE stat ('ireland' or 'united-kingdom') -- never a current figure. Call this when the question is about what a metric MEANS or how it's measured ("how is the claimant count defined", "is this a mean or a median"), not about a specific are

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