world-data-statistics
MCP serverDev toolsStatistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.
Serves today. ahel can serve it to every connected agent through your gateway link. It booted on ahel's sandbox and listed 11 tools.
Serve it through your gateway
One link, every agent. Your own credentials, stored once.
Tools it gives your agents (11)
| Tool | What it does |
|---|---|
| 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"). |
| 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... |
| 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 +... |
| 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. |
| 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. |
| list_monitors | Monitors on your API key, with delivery health (last fired, failures, active). |
| delete_monitor | No description in the server's own manifest. |
| answer | The flagship: ask a natural-language question about the served official statistics. |
| 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... |
Signals
- Last commit
- Aug 2026
- Weekly downloads
- 137
- Tools captured
- 11