faostat-mcp
01MCP server Claude CodeCodexCursor +2
MCP server exposing the full FAOSTAT API to AI assistants. Runs locally from the faostat-mcp Python package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server exposing the full FAOSTAT API to AI assistants. Runs locally from the faostat-mcp Python package. Needs 3 environment variables to run.
Plugin Claude Code
Plugin marketplace listing 1 plugin: faostat-skills.
Plugin Claude Code
Analysis skills for UN FAOSTAT food and agriculture data. Country profiles, commodity briefings, trade analysis, climate assessments, and data visualizations. Works with any AI assistant that supports the SKILL.md format.
Command
Produce a FAOSTAT-style multi-page analytical brief (PDF + xlsx appendix).
Command
Analyze agrifood emissions, climate impact, deforestation, land use, and the agriculture-climate nexus using FAOSTAT data.
Command
Generate a global briefing for an agricultural commodity.
Command
Compare countries or commodities on agricultural metrics.
Command
Generate a food security and agricultural profile for a country.
Command
Guided discovery of FAOSTAT data catalog — browse domains, see samples, understand what's available.
Command
Export clean, documented FAOSTAT data as xlsx + csv + data dictionary.
Command
Create a shareable single-page infographic from FAOSTAT data.
Command
Generate a choropleth world map of a FAOSTAT metric by country.
Command
Generate a peer-reviewable academic paper from FAOSTAT data (docx + xlsx + bib).
Command
Build a data-driven narrative with embedded charts from FAOSTAT data.
Command
Assess food import dependence, self-sufficiency ratios, and supply chain risk for a country and commodity.
Command
Identify biggest changes, fastest growers/decliners, and anomalies in agricultural data.
Command
Generate interactive HTML charts from FAOSTAT data (line, bar, scatter, stacked bar).
Skill Claude CodeCodex
Use when the user wants a short, FAOSTAT-style analytical brief — a multi-page PDF policy document in the FAOSTAT house visual style, with a HIGHLIGHTS box, global/regional/country sections, numbered figures with source lines, explanatory notes, and a data appendix. Use when the user asks for "an analytical brief on…
Skill Claude CodeCodex
Use when the user asks about agricultural emissions, climate impact of farming, agrifood carbon footprint, greenhouse gases from agriculture, deforestation, forest carbon sinks, temperature change, fertilizer emissions, N2O, land use change, emissions intensity, or the climate-agriculture nexus. Keywords — emissions…
Skill Claude CodeCodex
Use when the user asks about a specific crop or commodity — global production, top producers, yield trends, trade flows, or a commodity briefing. Keywords — commodity, crop, wheat, rice, maize, coffee, cocoa, soybean, sugar, cotton, palm oil, production rankings, top producers, yield, trade, global supply, briefing…
Skill Claude CodeCodex
Use ONLY when the user explicitly asks to compare two or more specific named entities (countries, commodities, or regions) side by side. Keywords — compare, comparison, versus, vs, benchmark, countries, crops, production, yield, area harvested, trade, growth rate. Do NOT use for a global commodity briefing →…
Skill Claude CodeCodex
Use when the user asks for a food security profile, country agricultural overview, country hunger or nutrition assessment, or food system summary for a specific country. Keywords — country profile, food security, undernourishment, production, trade, nutrition, calorie supply, dietary energy. Do NOT use for import…
Skill Claude CodeCodex
Use when the user wants to discover what data is available in FAOSTAT, browse domains, understand what a domain contains, or is new to FAOSTAT and wants a guided tour. Use when the user mentions a topic and wants to know what FAOSTAT data covers it. Keywords — explore, discover, browse, what data, available, domains…
Skill Claude CodeCodex
Use when the user wants a clean, documented tabular export of FAOSTAT data — "export FAOSTAT", "download the data", "give me the CSV / xlsx of [indicator]", "I want the raw numbers", "tabular data pull", "export to spreadsheet". The deliverable is a bundle — one multi-sheet .xlsx (README / Datatidy / Datawide /…