Faostat MCP Server

Discover FAOSTAT statistical domains (production, trade, food balances, food security, land use, agri-emissions, prices, value) with their codes, descriptions, last-update date, upstream row count, and local index status. Every query keys on a domain code from here. The `indexed` flag tells you which domains are queryable right now; un-indexed domains exist in the catalog but must be added to FAOS

Resolve human terms to the opaque integer codes faostat_query_observations needs, within a dimension: areas (countries/regions), items (commodities), or elements (metrics like production, yield, import quantity). Pass `query` for fuzzy full-text matching ("maize" → item 56), `name_contains` for a substring filter, or `code` for an exact-code lookup; omit all three to list the whole dimension. It

Query a FAOSTAT domain's data cube by area(s), item(s), element(s), and year range, returning observations (area, item, element, year, value, unit, and the data-quality flag). Resolve codes first with faostat_resolve_codes — the cube is unqueryable without them. Aggregate regions (World, continents, economic groupings) are EXCLUDED by default so a naive SUM does not double-count a region with it

Assemble a global profile for one commodity in a single call: top-producing countries, the annual production trend, and trade flows (top exporters and importers). Accepts a commodity name, resolves it to item codes, then queries the production (QCL) and trade (TCL) domains and merges the results. Each ranking is a per-country sum across the resolved items, taken at that country's own latest year w

Run a single-statement SELECT against the canvas tables staged by faostat_query_observations and faostat_commodity_profile (table names look like faostat_xxxxxxxx). Use this for cross-country and cross-item aggregation, GROUP BY rankings, joins, and time-series analysis over the full result set the inline preview only sampled. Standard DuckDB SQL — joins, aggregates, window functions, CTEs all w

List the canvas tables (faostat_xxxxxxxx) staged by faostat_query_observations and faostat_commodity_profile, each with its source tool, the query parameters that produced it, creation/expiry timestamps, row count, and column schema. Call this before faostat_dataframe_query to discover the exact table and column names to reference in SQL. Tables are listed newest-first and paged: pass `name` to de