UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.
Global food & agriculture statistics from the UN FAOSTAT bulk-download corpus, served from a local SQLite mirror with a DataCanvas SQL surface, over MCP. STDIO & Streamable HTTP.
Public Hosted Server: https://faostat.caseyjhand.com/mcp
Global food and agriculture statistics from the UN FAOSTAT bulk-download corpus — crop and livestock production, agricultural trade, food balances, food security and nutrition, land use, fertilizer use, and agrifood-systems emissions for 245+ countries and territories from 1961 to the present. Discover a domain, resolve area/item/element codes, then query the cube; large or merged result sets spill to a DataCanvas SQL surface for GROUP BY, ranking, and time-series analysis. Runs as a stdio process, a local Streamable HTTP server, or the public hosted endpoint above.
| Tool | Description |
|---|---|
faostat_list_domains | Discover FAOSTAT statistical domains with codes, descriptions, last-update date, upstream row count, and local index status. The entry point — every query keys on a domain code. |
faostat_resolve_codes | Resolve human terms to the opaque integer codes a query needs (areas, items, elements), flagging each area as a country or an aggregate region. |
faostat_query_observations | Query a domain's cube by area(s), item(s), element(s), and year range. Inline preview for small results; large sets spill to a DataCanvas table. |
faostat_commodity_profile | Workflow: assemble top producers, the production trend, and trade flows for one commodity from the production and trade domains in a single call. |
faostat_dataframe_query | Run a read-only SQL SELECT against the canvas tables staged by the analytical tools. |
faostat_dataframe_describe | List the canvas tables staged this session, each with provenance, row count, and column schema. |
faostat_list_domains toolcode for an exact domain lookup; topic substring filter over code/name/topic; indexed_only to list only domains queryable from the local mirroroffset + limit (max 200, default 20) page the catalog — response reports totalMatches, truncated, and nextOffsetindexed / index_ready flags, local row count, and last completed syncfaostat_resolve_codes toolquery, substring name_contains, or exact code lookup within a dimension: area, item, or elementdomain's cube; area codes are shared across domainscountry or aggregate (codes ≥ 5000, plus curated sub-threshold roll-ups such as China=351)limit (max 200, default 50) + offset page the match setunknown_domain, index_not_readyfaostat_query_observations toolarea_codes / item_codes / element_codes and an inclusive year_start / year_end rangeinclude_aggregates: false); explicit area_codes bypass the exclusionlimit caps the inline page (default 200, max 1000); a match that exceeds it spills in full to a DataCanvas table (50,000-row staging cap) for SQL via faostat_dataframe_queryflag (A/E/I/B/M/T/X, others per domain) — never droppeddomain_not_indexed, index_not_ready, canvas_disabled, invalid_year_rangefaostat_commodity_profile toolitem_query to up to 5 item codes, then ranks top producers/exporters/importers and returns an annual production trend in one calltop_n caps each ranked list (max 50); the merged observation set spills to a DataCanvas table for further SQLno_match, index_not_ready, invalid_year_rangefaostat_dataframe_query toolSELECT over staged faostat_xxxxxxxx tables — joins, aggregates, window functions, and CTEs all workDROP, COPY, PRAGMA, ATTACH, external-file functions, and system catalogs (information_schema, sqlite_master, duckdb_*) are rejectedrow_limit caps the response (default 1000, max 10000); truncated means more rows exist, with no exact total computed on this pathcanvas_disabled, canvas_not_found, missing_table, system_catalog_access, invalid_sqlfaostat_dataframe_describe toolname describes one table outright; otherwise offset + limit (max 100, default 20) page the listing newest-firstcanvas_disabled, canvas_not_found, missing_tableBuilt on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.
FAOSTAT-specific:
MirrorService, with FTS5 over the dimension labels driving code resolutionFAOSTAT_DOMAINS) — the indexed set can grow without code changes, and the full catalog stays browsable regardlessGROUP BY, ranking, and time-series analysis over spilled result setsAgent-friendly output:
A/E/I/B/M/T/X, others per domain), never dropped from outputfaostat_commodity_profile returns a production-only profile with a notice, rather than failing, when the trade domain isn't indexedindex_not_ready, domain_not_indexed, canvas_disabled, and others each carry a concrete recovery hintA public instance is available at https://faostat.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:
{
"mcpServers": {
"faostat-mcp-server": {
"type": "streamable-http",
"url": "https://faostat.caseyjhand.com/mcp"
}
}
}
Add the following to your MCP client configuration file. The server runs entirely on a local mirror, so build the mirror once before querying.
{
"mcpServers": {
"faostat-mcp-server": {
"type": "stdio",
"command": "bunx",
"args": ["@cyanheads/faostat-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info"
}
}
}
}
Or with npx (no Bun required):
{
"mcpServers": {
"faostat-mcp-server": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@cyanheads/faostat-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info"
}
}
}
}
Or with Docker:
{
"mcpServers": {
"faostat-mcp-server": {
"type": "stdio",
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "MCP_TRANSPORT_TYPE=stdio",
"-v", "faostat-mirror:/usr/src/app/.faostat-mirror",
"ghcr.io/cyanheads/faostat-mcp-server:latest"
]
}
}
}
For Streamable HTTP, set the transport and start the server:
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp
No API key is required — the FAOSTAT bulk-download service is public and keyless.
QCL,TCL,FBS,FS,RL,GLE,RFN,QV, ∼37M rows) needs a few GB; TCL (∼17M rows) dominates and can be dropped from FAOSTAT_DOMAINS on a constrained host.git clone https://github.com/cyanheads/faostat-mcp-server.git
cd faostat-mcp-server
bun install
cp .env.example .env
# edit .env to override the default domain set, mirror path, or refresh cron
The corpus is not bundled. Before the data tools can answer queries, sync the selected domains into the local mirror:
bun run mirror:init # one-time bootstrap — downloads and indexes the FAOSTAT_DOMAINS set
bun run mirror:refresh # re-sync domains whose upstream update date has advanced
bun run mirror:verify # report sync status, local row counts, and sample reads
mirror:init is idempotent and resumable per domain — re-running after an interrupt re-streams only the unfinished domain ZIP. FAOSTAT_DOMAINS selects which domains are indexed; everything else in the catalog shows in faostat_list_domains with indexed: false until added and re-synced. On HTTP transport, set FAOSTAT_REFRESH_CRON to refresh in-process on a schedule; on stdio, run mirror:refresh out-of-band. The read tools return index_not_ready until the first sync completes.
| Variable | Description | Default |
|---|---|---|
FAOSTAT_DOMAINS | Comma-separated FAOSTAT domain codes to index into the local mirror. Domains outside this set appear in faostat_list_domains but are not queryable until added and re-synced. | QCL,TCL,FBS,FS,RL,GLE,RFN,QV |
FAOSTAT_MIRROR_PATH | Directory holding the per-domain SQLite stores and the shared dimension database. Created if absent. | ./.faostat-mirror |
FAOSTAT_BULK_BASE_URL | FAOSTAT bulk-download service base URL (manifest + per-domain ZIPs). | https://bulks-faostat.fao.org/production |
FAOSTAT_REFRESH_CRON | Cron for the in-process incremental refresh (HTTP transport only). Omit to disable and run mirror:refresh out-of-band. | — |
CANVAS_PROVIDER_TYPE | DataCanvas engine. duckdb enables the SQL surface; set none to disable analytical staging (the dataframe_* tools then report canvas_disabled and large queries refuse to spill). | duckdb |
MCP_TRANSPORT_TYPE | Transport: stdio or http. | stdio |
MCP_SESSION_MODE | HTTP session mode: stateless, stateful, or auto (resolves to stateful). The server declares stateless in src/index.ts — no tool asks the caller for input mid-handler — and setting this overrides that declaration. | stateless |
MCP_HTTP_PORT | Port for the HTTP server. | 3010 |
MCP_AUTH_MODE | Auth mode: none, jwt, or oauth. | none |
MCP_LOG_LEVEL | Log level (RFC 5424). | info |
LOGS_DIR | Directory for log files (Node.js only). | <project-root>/logs |
See .env.example for the full list of optional overrides.
Build and run:
# One-time build
bun run rebuild
# Run the built server
bun run start:stdio
# or
bun run start:http
Run checks and tests:
bun run devcheck # Lint, format, typecheck, security
bun run test # Vitest test suite
bun run lint:mcp # Validate MCP definitions against spec
docker build -t faostat-mcp-server .
docker run --rm -p 3010:3010 -v faostat-mirror:/usr/src/app/.faostat-mirror faostat-mcp-server
The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/faostat-mcp-server. The build stage compiles the native dependencies (@duckdb/node-api, better-sqlite3) and the production stage reuses the prebuilt node_modules, so the slim runtime image carries no build toolchain. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them. Mount a volume at the mirror path to persist the corpus across container recreations, and bootstrap it inside the container:
docker exec <container> bun run mirror:init # one-time bootstrap
docker exec <container> bun run mirror:verify # sync status + sample reads
docker exec <container> bun run mirror:refresh # re-sync when FAO has updated a domain
| Directory | Purpose |
|---|---|
src/index.ts | createApp() entry point — registers the six tools, wires the mirror and canvas in setup(), schedules the HTTP refresh. |
src/config | Server-specific environment variable parsing and validation with Zod. |
src/mcp-server/tools/definitions | Tool definitions (*.tool.ts). |
src/services/faostat-mirror | The bulk-download mirror service — manifest discovery, streaming ZIP ingester, CSV parsing, dimension store, SQLite-backed MirrorService wiring. |
src/services/canvas-accessor.ts, canvas-staging.ts | DataCanvas accessor and the spill/query/describe staging layer. |
scripts/faostat-mirror-*.ts | mirror:init / mirror:refresh / mirror:verify CLIs. |
tests/ | Unit and integration tests mirroring src/. |
See CLAUDE.md/AGENTS.md for development guidelines and architectural rules. The short version:
try/catch in tool logicctx.log for request-scoped logging, ctx.state for tenant-scoped storagecreateApp() array in src/index.tsData is sourced from FAOSTAT, the statistics division of the Food and Agriculture Organization of the United Nations (FAO). FAOSTAT data is published under CC BY-4.0; cite FAO as the source in downstream use. This project is not affiliated with or endorsed by the FAO.
Issues are welcome. Run checks and tests before submitting:
bun run devcheck
bun run test
Apache-2.0 — see LICENSE for details.
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y @cyanheads/faostat-mcp-serverMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-cyanheads-faostat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/faostat-mcp-server"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referenceio.github.cyanheads/faostat-mcp-server works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.