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제작자가 쓴 설명(영어 원문)
Search ILOSTAT labour indicators, query and compare series, build country profiles, run SQL.
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.
ILOSTAT_CATALOG_REFRESH_HOURS, ILOSTAT_MAX_ROWS, ILOSTAT_PREVIEW_CHARS, ILOSTAT_CACHE_TTL_SECONDS, ILOSTAT_DATASET_TTL_SECONDS, ILOSTAT_DATAFRAME_DROP_ENABLED, CANVAS_PROVIDER_TYPE, 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://ilostat.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"ilostat": {
"command": "npx",
"args": [
"-y",
"@cyanheads/ilostat-mcp-server"
],
"env": {
"ILOSTAT_CATALOG_REFRESH_HOURS": "your-value",
"ILOSTAT_MAX_ROWS": "your-value",
"ILOSTAT_PREVIEW_CHARS": "your-value",
"ILOSTAT_CACHE_TTL_SECONDS": "your-value",
"ILOSTAT_DATASET_TTL_SECONDS": "your-value",
"ILOSTAT_DATAFRAME_DROP_ENABLED": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http ilostat https://ilostat.caseyjhand.com/mcpclaude mcp add ilostat --env ILOSTAT_CATALOG_REFRESH_HOURS=your-value --env ILOSTAT_MAX_ROWS=your-value --env ILOSTAT_PREVIEW_CHARS=your-value --env ILOSTAT_CACHE_TTL_SECONDS=your-value --env ILOSTAT_DATASET_TTL_SECONDS=your-value --env ILOSTAT_DATAFRAME_DROP_ENABLED=your-value --env CANVAS_PROVIDER_TYPE=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/ilostat-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ilostat": {
"url": "https://ilostat.caseyjhand.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ilostat": {
"command": "npx",
"args": [
"-y",
"@cyanheads/ilostat-mcp-server"
],
"env": {
"ILOSTAT_CATALOG_REFRESH_HOURS": "your-value",
"ILOSTAT_MAX_ROWS": "your-value",
"ILOSTAT_PREVIEW_CHARS": "your-value",
"ILOSTAT_CACHE_TTL_SECONDS": "your-value",
"ILOSTAT_DATASET_TTL_SECONDS": "your-value",
"ILOSTAT_DATAFRAME_DROP_ENABLED": "your-value",
"CANVAS_PROVIDER_TYPE": "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": {
"ilostat": {
"type": "http",
"url": "https://ilostat.caseyjhand.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ilostat": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/ilostat-mcp-server"
],
"env": {
"ILOSTAT_CATALOG_REFRESH_HOURS": "your-value",
"ILOSTAT_MAX_ROWS": "your-value",
"ILOSTAT_PREVIEW_CHARS": "your-value",
"ILOSTAT_CACHE_TTL_SECONDS": "your-value",
"ILOSTAT_DATASET_TTL_SECONDS": "your-value",
"ILOSTAT_DATAFRAME_DROP_ENABLED": "your-value",
"CANVAS_PROVIDER_TYPE": "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://ilostat.caseyjhand.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
ILOSTAT_CATALOG_REFRESH_HOURS envILOSTAT_MAX_ROWS envILOSTAT_PREVIEW_CHARS envILOSTAT_CACHE_TTL_SECONDS envILOSTAT_DATASET_TTL_SECONDS envILOSTAT_DATAFRAME_DROP_ENABLED envCANVAS_PROVIDER_TYPE envMCP_LOG_LEVEL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
ilostat_search_indicatorsSearch ILOSTAT's catalog of labour-statistics indicators by plain-language terms and filters. Each hit is one indicator with its datasets — one per available frequency (annual, quarterly, monthly) — plus breakdowns, coverage years, number of reference areas, source database, and
ilostat_describe_indicatorExplain one ILOSTAT dataset before comparing numbers: its definition, unit and multiplier, frequency variants and coverage, the sex and breakdown codes in use across its frequencies (the total code of each breakdown marked), the reference areas it covers, whether it carries World
ilostat_query_indicatorFetch observations for up to 3 ILOSTAT datasets per call, filtered by reference area or area group, sex, breakdown codes (classif1, classif2), source, and period; datasets past the first 3 come back as remaining_dataset_ids for another call. Rows keep their source, observation st
ilostat_get_country_profileBuild a headline labour-market profile for one reference area: labour force participation, employment-to-population ratio, unemployment and youth unemployment rates, youth NEET rate, informal employment rate, employment level, labour income share, and working poverty rate. Each i
ilostat_compare_geographiesCompare reference areas on one ILOSTAT dataset and one slice — a sex code plus breakdown codes, defaulting to the dataset's totals — giving each area's value at a common period or at its latest non-projected period, optional change over N years, and a rank, with each value's peri
ilostat_list_referenceDecode ILOSTAT's code vocabulary: reference areas (ISO3 countries and X-coded aggregates, with World Bank income group and ILO region), the groups that area_group accepts (X01 for every country, ILO regions and subregions, World Bank income groups; exact-code lookups list their m
ilostat_dataframe_queryRun a single-statement SELECT against the df_ dataframes staged by ilostat_query_indicator and ilostat_compare_geographies or stored by an earlier register_as. Inspect a dataframe with ilostat_dataframe_describe first; its column schema is what the SQL has to match. Read-only: wr
ilostat_dataframe_describeDescribe the df_ dataframes staged by ilostat_query_indicator and ilostat_compare_geographies or stored by ilostat_dataframe_query register_as: the tool and parameters that produced each, the datasets it holds (label, last update, and the unit with its measure, type, and multipli
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 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
255ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 8개를 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(0.3.0)은 9일 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: Context7, Codebase Memory, Exa
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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@cyanheads/ilostat-mcp-server Search ILOSTAT labour indicators, query and compare series, build country profiles, run SQL via MCP. STDIO or Streamable HTTP. 9 Tools • 1 Skill
Public Hosted Server: https://ilostat.caseyjhand.com/mcp
Labour statistics from ILOSTAT, the International Labour Organization's database. Find an indicator, pull observations for countries, regions, and income groups, compare areas, and build a labour-market profile, with every value marked as reported, modelled, or projected. No API key required.
| Tool | Description |
|---|---|
ilostat_search_indicators | Search the indicator catalog by plain-language terms and filters; each hit lists a dataset ID per available frequency |
ilostat_describe_indicator | Explain one dataset: definition, unit and multiplier, breakdown codes in use, covered areas, and how its values are classed |
ilostat_query_indicator | Fetch observations for up to 3 datasets per call, filtered by area or area group, sex, breakdown codes, source, and period |
ilostat_get_country_profile | Headline labour-market figures for one area: latest reported value and latest ILO modelled estimate, side by side |
ilostat_compare_geographies | Rank areas on one slice of one dataset at a common or latest period, with optional change over N years |
ilostat_list_reference | Decode ILOSTAT's code vocabulary: areas, area groups, databases, subjects, sexes, breakdowns, sources, status flags, notes |
ilostat_dataframe_describe | Describe a staged df_ dataframe by name, or list them all (off under HTTP with auth none), with provenance, coverage, basis counts, and column schema |
ilostat_dataframe_query | Run one read-only SQL SELECT over staged dataframes, optionally storing the result as a new one |
ilostat_dataframe_drop | Drop a staged dataframe before its TTL |
ilostat_dataframe_drop is off unless ILOSTAT_DATAFRAME_DROP_ENABLED=true, and CANVAS_PROVIDER_TYPE=none turns off all three dataframe tools.
| Skill | Description |
|---|---|
ilostat-guide | Gates for answering labour-market questions with these tools: choosing reported or ILO modelled data, finding a population group as a breakdown code, one classification version per sum, rates that do not add, source changes and breaks in trends, and SQL over staged dataframes |
Ships in skills/ for plugin installs, the npm package, the Docker image, and the .mcpb bundle, and is served over MCP as skill://ilostat-guide/SKILL.md.
ilostat_search_indicators toolquery (every term must match a word or word prefix; a term no catalog word starts with matches by its stem, so informality finds informal and disabled finds disability; female, women, male, and men match every indicator broken down by sex, and the notice names the sex filter for ilostat_query_indicator; case, accents, and labour/labor folded) plus frequency, database, subject, breakdown, measure, and aggregates_only filters; omit query to browse by filterslimit is applied as 50, with a notice), continued with next_cursor; each hit is one indicator with a dataset_id per frequency, coverage years, n_ref_area, last_update, and has_aggregates, and facets count the whole match setdatabase, subject, breakdown, or measure code fails as unknown_filter_codeilostat_describe_indicator tooldataset_id (UNE_DEAP_SEX_AGE_RT_A) or a bare indicator code, which describes every frequency; an unknown code returns found: false with guidanceunit and its multiplier, frequency variants, breakdowns (sex codes, plus classif1 / classif2 codes with totals marked is_total), default_slice, covered ref_areas, basis_rule, and the first 20 related_datasets with related_totalstructure_status is unavailable and breakdowns, unit, and areas are absent rather than the call failingilostat_query_indicator tooldataset_ids; the first 3 distinct datasets are queried and the rest come back as remaining_dataset_ids for another call. Filter by ref_areas (up to 300) and/or an area_group, sex, classif1, classif2, sources, and period: one exact time, a time_from / time_to year window, latest_only, or bothlatest_only keeps each series' own latest period; a request whose full history is too large to read in one call falls back to the latest period per area and dataset, and applied_filters.latest_mode and the notice say sosource_selection is best by default, all, or secondary; rows carry source, obs_status, notes, and basis, decoded in legend, and applied_filters echoes every parameter sentdf_ dataframe; a request over ILOSTAT_MAX_ROWS fails as request_too_broad (unfiltered) or result_too_large (filtered)ilostat_get_country_profile toolref_area with annual data, an ISO3 country (KEN) or an X-coded aggregate (X01 World, regions, income groups), and sex (SEX_T by default, SEX_M, or SEX_F)reported value for that slice and, separately, its latest non-projected modelled estimatereported_missing; aggregates carry modelled values onlyilostat_compare_geographies tooldataset_id and one slice (sex, classif1, classif2, defaulting to the dataset's totals); areas from ref_areas (up to 300), an area_group, or both, and at least one is requiredperiod puts every area at one period; without it, each area gets its latest value within lookback_years (default 10), projections excluded unless include_projections; change_years (1–30) adds each value's change over that spansource_changed, basis_changed, and break_in_series flags; the notice counts the changes that are not like-for-likerank, value, period, basis, and source; areas without a value land in missing with a reason, and comparability reports mixed_periods, basis_counts, and distinct_sourcesilostat_list_reference tooltopic: ref_areas, area_groups, databases, subjects, sexes, classifications, classification_types, sources, obs_status, notes, or frequenciesfilter or up to 100 exact codes (misses in not_found; exact area_groups lookups list member countries); ref_area narrows sources, and classification_type narrows classificationslimit is applied as 500, with a notice), continued with next_cursorilostat_dataframe_describe tooldf_XXXXX_XXXXX, or omit name to list every staged dataframe, newest first (listing is off under HTTP with auth none; use the exact name)source_tool and its query_params, datasets, coverage, basis_counts, attribution, created_at / expires_at, row_count, and the column_schema to write SQL againstunit: unit_measure, unit_type, unit_type_label, unit_multiplier, and unit_multiplier_label; values are never rescaledilostat_dataframe_query toolSELECT (joins, aggregates, window functions, CTEs) over df_ tables, up to 20,000 characters; writes, DDL, multi-statement SQL, file references and file-reading functions, engine-setting reads, and system catalogs are rejectedrow_limit caps the rows materialized (default 1,000; capped at 10,000 per call, with row_count_capped flagging a hit) and preview the rows returned inline, which also stop at ILOSTAT_PREVIEW_CHARS; applied_limits echoes the values applied, and BIGINT values arrive as stringsregister_as stores the full result as a new dataframe with a fresh TTL; a result over 1,000,000 rows fails as register_as_too_large, and evicted names any older dataframes dropped to make roomilostat_dataframe_drop toolname before its TTL; idempotent, with dropped: false when nothing matchedILOSTAT_DATAFRAME_DROP_ENABLED=true and dataframes are on; it is the only destructive toolBuilt 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.
ILOSTAT-specific:
ILOSTAT_CATALOG_REFRESH_HOURS; every code a tool takes is validated against them before a request goes upstreamupstream_busy carrying retryAfter. Data responses of up to 5,000 rows are cached for ILOSTAT_CACHE_TTL_SECONDS앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요