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제작자가 쓴 설명(영어 원문)
UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
FAOSTAT_DOMAINS, FAOSTAT_MIRROR_PATH, FAOSTAT_BULK_BASE_URL, CANVAS_PROVIDER_TYPE, FAOSTAT_DATAFRAME_DROP_ENABLED, MCP_LOG_LEVEL필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://faostat.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"faostat": {
"command": "npx",
"args": [
"-y",
"@cyanheads/faostat-mcp-server"
],
"env": {
"FAOSTAT_DOMAINS": "your-value",
"FAOSTAT_MIRROR_PATH": "your-value",
"FAOSTAT_BULK_BASE_URL": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"FAOSTAT_DATAFRAME_DROP_ENABLED": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http faostat https://faostat.caseyjhand.com/mcpclaude mcp add faostat --env FAOSTAT_DOMAINS=your-value --env FAOSTAT_MIRROR_PATH=your-value --env FAOSTAT_BULK_BASE_URL=your-value --env CANVAS_PROVIDER_TYPE=your-value --env FAOSTAT_DATAFRAME_DROP_ENABLED=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/faostat-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"faostat": {
"url": "https://faostat.caseyjhand.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"faostat": {
"command": "npx",
"args": [
"-y",
"@cyanheads/faostat-mcp-server"
],
"env": {
"FAOSTAT_DOMAINS": "your-value",
"FAOSTAT_MIRROR_PATH": "your-value",
"FAOSTAT_BULK_BASE_URL": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"FAOSTAT_DATAFRAME_DROP_ENABLED": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"faostat": {
"type": "http",
"url": "https://faostat.caseyjhand.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"faostat": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/faostat-mcp-server"
],
"env": {
"FAOSTAT_DOMAINS": "your-value",
"FAOSTAT_MIRROR_PATH": "your-value",
"FAOSTAT_BULK_BASE_URL": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"FAOSTAT_DATAFRAME_DROP_ENABLED": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://faostat.caseyjhand.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
FAOSTAT_DOMAINS envFAOSTAT_MIRROR_PATH envFAOSTAT_BULK_BASE_URL envCANVAS_PROVIDER_TYPE envFAOSTAT_DATAFRAME_DROP_ENABLED envMCP_LOG_LEVEL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
faostat_list_domainsDiscover 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`
faostat_resolve_codesResolve labels to the numeric codes or exact alphanumeric item identities faostat_query_observations needs: areas (countries/regions), items (commodities), and elements (metrics). Use query for full-text matching, name_contains for substring matching, code or code_text for exact
faostat_query_observationsQuery a FAOSTAT domain's data cube by area(s), item(s), element(s), sources, and year range, returning values with units and data-quality flags. Resolve numeric codes or exact alphanumeric item identities with faostat_resolve_codes; element resolution accepts item selectors and r
faostat_commodity_profileAssemble a global profile for one QCL item in a single call: top-producing countries, the annual production trend, and trade flows (top exporters and importers). Supply item_code or item_query; code wins when both are supplied. A query selects a unique normalized exact label, oth
faostat_dataframe_queryRun a single-statement SELECT against canvas tables staged by faostat_query_observations and faostat_commodity_profile (faostat_xxxxxxxx). Use DuckDB joins, aggregates, window functions, and CTEs for rankings and time-series analysis. Item groups can overlap their members even wi
faostat_dataframe_describeList 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 di
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 cyanheads 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
202ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 6개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.0)은 4일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
@cyanheads/faostat-mcp-server Global food & agriculture statistics from the UN FAOSTAT bulk-download corpus, served from a local SQLite mirror with a DataCanvas SQL surface, via MCP. STDIO or Streamable HTTP. 7 Tools • 1 Skill Resource • 0 Prompts
Public Hosted Server: https://faostat.caseyjhand.com/mcp
Global food and agriculture statistics from the UN's FAOSTAT: production, trade, food balances, food security, land use, fertilizer, and emissions for 245+ countries and territories since 1961. Resolve commodity and country codes, query the data, and run SQL over large results.
| 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 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_dataframe_drop | Drop one staged canvas table before its 2-hour TTL. Opt-in — callable only with FAOSTAT_DATAFRAME_DROP_ENABLED=true. |
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 element; code_text looks up alphanumeric itemsdomain's cube; area codes are shared across domainsunits; item_codes or item_codes_text restrict element discovery and units to selected items. Item/element lookups require that domain to be readycountry or aggregate (codes ≥ 5000, plus curated sub-threshold roll-ups such as China=351)aggregate by domain. Classification is incomplete: kind: null does not mean items can safely be summed togetherlimit (max 200, default 50) + offset page the match setunknown_domain, index_not_ready, invalid_text_selector, invalid_item_scope, query_timeoutfaostat_query_observations toolarea_codes / item_codes / item_codes_text / element_codes / source_codes and an inclusive year_start / year_end rangeitem_code_text with item_code: null; numeric items retain their integer codeperiod (e.g. 2000-2002) and use its midpoint as year for filtering. Censored values retain the numeric bound plus value_qualifier (e.g. < with 2.5)source_code and source; omitting source_codes returns all sources, which must be compared separately rather than summedavailable_elements with labels and units for those items; this does not establish coverage for the requested areas, years, or sourcesinclude_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) — faostat_dataframe_describe for its columns, then SQL via faostat_dataframe_queryflag (A/E/I/B/M/T/X, others per domain) — never droppeddomain_not_indexed, index_not_ready, canvas_disabled, canvas_not_found, invalid_year_range, conflicting_item_selectors, query_timeoutfaostat_commodity_profile toolitem_code or item_query (code takes precedence), then ranks top producers/exporters/importers and returns an annual production trendmaize or milk, call faostat_resolve_codes with domain: "QCL", dimension: "item", and the query, then pass the selected item_code (e.g. 56 for maize grain)top_n caps each ranked list (max 50); when the merged observation set is too large to inline it spills to a DataCanvas table — faostat_dataframe_describe for its columns, then faostat_dataframe_query for further SQLmissing_item, ambiguous_item, no_match, domain_not_indexed, index_not_ready, invalid_year_range, canvas_not_found, query_timeoutfaostat_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 rejectedquery_table, dynamic query() SQL, and file table references are rejected; query() with a single literal read-only SELECT remains supportedrow_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_tablefaostat_dataframe_drop tooltools/list — unless FAOSTAT_DATAFRAME_DROP_ENABLED=truefaostat_xxxxxxxx table and its provenance from the session canvas, or from the canvas a canvas_id namesdropped: false with a notice and changes nothingcanvas_disabled, canvas_not_foundThe faostat-guide covers reporting periods, censored values, source estimates, country versus regional totals, units, coverage, and complete SQL analysis across staged results. It ships with plugin, npm, Docker, and MCPB installs and is served through the MCP Skills extension as a skill resource.
Built 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 hintConnect to the hosted instance, no install:
claude mcp add --transport http faostat-mcp-server https://faostat.caseyjhand.com/mcp
Or run it locally after building the mirror:
claude mcp add faostat-mcp-server -- npx -y @cyanheads/faostat-mcp-server
For other clients, add this to the MCP config file:
{
"mcpServers": { "faostat-mcp-server": { "command": "
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