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Starwell: World Data & Statistics

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

Has write/delete tools

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Has destructive tools (destructiveHint)
Capabilities declared	tools
Tool definitions	11 tools · with description 91% · input schema is an object 100% · read/destructive hints 100%

Description written by the publisher, not verified

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

Connect

streamable-http · https://starwell.dev/api/starwell/mcp

claude mcp add --transport http world-data-statistics https://starwell.dev/api/starwell/mcp

{
  "mcpServers": {
    "world-data-statistics": {
      "url": "https://starwell.dev/api/starwell/mcp"
    }
  }
}

Tools as reported by the server

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 write/delete
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

Repository · Website · JSON · Text for agents · Registry updated 2026-08-13