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MCP live MCP 2025-11-25 streamable-http

Starwell: World Data & Statistics

dev.starwell/world-data-statistics

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

Uptime
100.0%
3 direct probes · 30d
Response
526ms
last probe
Tools
11
callable
Resources
0
readable
Prompts
0
available

Tools · 11

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 c…

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), …

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 + citat…

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 …

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. Requi…

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), …

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 o…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "starwell:_world_data_&_statistics": {
      "url": "https://starwell.dev/api/starwell/mcp",
      "transport": "streamable-http"
    }
  }
}