Connect-MCP

Starwell: World Data & Statistics

dev.starwell/world-data-statistics · v0.2.2

Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.

MCPremotelocal · npmno credentialsScience & open data

Reported outcomes

No reports yet.

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

Last check

Reachable, 11 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 96/100

What it does: 11 tools · 7 read, 4 write (incl. delete/pay)

Test call list_sources: worked (8,343 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +14
  • Parameter descriptions: +7
  • Read/write annotations: +5
  • 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://starwell.dev/api/starwell/mcp
Package
registry:   npm
identifier: starwell-mcp
version:    0.2.2
transport:  stdio

Tools

11 tools listed at last check
  • list_sources List the official statistical sources served by this data layer (e.g. Statistics Canada, FRED), with dataset/series counts, cadence notes, and terms links. Start here to see what exists.
  • search_catalog Find series across ALL sources in one call: case-insensitive search over series ids, indicator names, geographies, and dataset titles (e.g. "unemployment canada", "10-year treasury", "CPI"). Returns candidate series with units, coverage, verification status, and license, plus datasetMatches from the
  • list_datasets List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages.
  • get_series Full metadata for one series: indicator, unit, frequency, geography, coverage, its VERIFICATION STATUS (passing/stale/failing/unverified from golden-value + freshness checks against the live source), recent check records, and the citation to the official table.
  • get_observations Observation values for one series. Every value carries provenance (the exact source URL it came from, retrieval time, connector version) and the envelope carries the series verification status + citation. Defaults to the latest 60 points; use start/end (YYYY-MM-DD) or latest to control the window. P
  • get_series_stats Latest value, previous, all-time min/max, mean, and change vs the previous period and vs a year ago — computed over the verified store, with the citation attached. The cheap way to answer "what is it now and how has it moved" without a full analysis run.
  • create_monitor Create a monitor: when the store's refresh lands a new period or a revised value for the series, a series.updated webhook fires to your URL with the new value, verification status, and citation. Requires an API key (free with an account at /account); webhook must be https. Manage with list_monitors
  • list_monitors Monitors on your API key, with delivery health (last fired, failures, active).
  • delete_monitor
  • answer The flagship: ask a natural-language question about the served official statistics. Returns a COMPUTED answer (real Python runs in a sandbox over the verified store, nothing is estimated by a model), the Plotly chart, the Python code, citations to the official tables, and a verification badge per se
  • deep_analysis The moat: a PLANNED multi-section report on a question. The engine designs 3-4 orthogonal analyses (trend, statistics, outliers, cross-series relationships), runs real Python for each in the sandbox over the verified store, and synthesizes one decision-ready report. Every number computed, every seri

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