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제작자가 쓴 설명(영어 원문)
Search and query the Eurostat catalogue — EU economy, demography, trade, and NUTS regional data.
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.
EUROSTAT_CLAMP_LIMITS, MCP_LOG_LEVEL, EUROSTAT_BASE_URL, EUROSTAT_COMEXT_BASE_URL, EUROSTAT_REQUEST_TIMEOUT_MS, EUROSTAT_METADATA_TIMEOUT_MS, EUROSTAT_TOC_CACHE_TTL_MS, EUROSTAT_BULK_TIMEOUT_MS, EUROSTAT_BULK_MAX_BYTES, CANVAS_PROVIDER_TYPE, CANVAS_TEMP_PATH, CANVAS_TTL_MS, CANVAS_DEFAULT_ROW_LIMIT, EUROSTAT_DATAFRAME_DROP_ENABLED필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://eurostat.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"eurostat": {
"command": "npx",
"args": [
"-y",
"@cyanheads/eurostat-mcp-server"
],
"env": {
"EUROSTAT_CLAMP_LIMITS": "your-value",
"MCP_LOG_LEVEL": "your-value",
"EUROSTAT_BASE_URL": "your-value",
"EUROSTAT_COMEXT_BASE_URL": "your-value",
"EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
"EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
"EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
"EUROSTAT_BULK_TIMEOUT_MS": "your-value",
"EUROSTAT_BULK_MAX_BYTES": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"CANVAS_TEMP_PATH": "your-value",
"CANVAS_TTL_MS": "your-value",
"CANVAS_DEFAULT_ROW_LIMIT": "your-value",
"EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http eurostat https://eurostat.caseyjhand.com/mcpclaude mcp add eurostat --env EUROSTAT_CLAMP_LIMITS=your-value --env MCP_LOG_LEVEL=your-value --env EUROSTAT_BASE_URL=your-value --env EUROSTAT_COMEXT_BASE_URL=your-value --env EUROSTAT_REQUEST_TIMEOUT_MS=your-value --env EUROSTAT_METADATA_TIMEOUT_MS=your-value --env EUROSTAT_TOC_CACHE_TTL_MS=your-value --env EUROSTAT_BULK_TIMEOUT_MS=your-value --env EUROSTAT_BULK_MAX_BYTES=your-value --env CANVAS_PROVIDER_TYPE=your-value --env CANVAS_TEMP_PATH=your-value --env CANVAS_TTL_MS=your-value --env CANVAS_DEFAULT_ROW_LIMIT=your-value --env EUROSTAT_DATAFRAME_DROP_ENABLED=your-value -- npx -y @cyanheads/eurostat-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"eurostat": {
"url": "https://eurostat.caseyjhand.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"eurostat": {
"command": "npx",
"args": [
"-y",
"@cyanheads/eurostat-mcp-server"
],
"env": {
"EUROSTAT_CLAMP_LIMITS": "your-value",
"MCP_LOG_LEVEL": "your-value",
"EUROSTAT_BASE_URL": "your-value",
"EUROSTAT_COMEXT_BASE_URL": "your-value",
"EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
"EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
"EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
"EUROSTAT_BULK_TIMEOUT_MS": "your-value",
"EUROSTAT_BULK_MAX_BYTES": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"CANVAS_TEMP_PATH": "your-value",
"CANVAS_TTL_MS": "your-value",
"CANVAS_DEFAULT_ROW_LIMIT": "your-value",
"EUROSTAT_DATAFRAME_DROP_ENABLED": "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": {
"eurostat": {
"type": "http",
"url": "https://eurostat.caseyjhand.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"eurostat": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/eurostat-mcp-server"
],
"env": {
"EUROSTAT_CLAMP_LIMITS": "your-value",
"MCP_LOG_LEVEL": "your-value",
"EUROSTAT_BASE_URL": "your-value",
"EUROSTAT_COMEXT_BASE_URL": "your-value",
"EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
"EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
"EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
"EUROSTAT_BULK_TIMEOUT_MS": "your-value",
"EUROSTAT_BULK_MAX_BYTES": "your-value",
"CANVAS_PROVIDER_TYPE": "your-value",
"CANVAS_TEMP_PATH": "your-value",
"CANVAS_TTL_MS": "your-value",
"CANVAS_DEFAULT_ROW_LIMIT": "your-value",
"EUROSTAT_DATAFRAME_DROP_ENABLED": "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://eurostat.caseyjhand.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
EUROSTAT_CLAMP_LIMITS envMCP_LOG_LEVEL envEUROSTAT_BASE_URL envEUROSTAT_COMEXT_BASE_URL envEUROSTAT_REQUEST_TIMEOUT_MS envEUROSTAT_METADATA_TIMEOUT_MS envEUROSTAT_TOC_CACHE_TTL_MS envEUROSTAT_BULK_TIMEOUT_MS envEUROSTAT_BULK_MAX_BYTES envCANVAS_PROVIDER_TYPE envCANVAS_TEMP_PATH envCANVAS_TTL_MS envCANVAS_DEFAULT_ROW_LIMIT envEUROSTAT_DATAFRAME_DROP_ENABLED 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.
eurostat_search_datasetsSearch the Eurostat catalogue by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Use this to discover dataset codes before calling eurostat_get_dataset_info, then eurostat_query_dataset for a slice of a dataset or eurostat_down
eurostat_browse_themesNavigate the Eurostat theme tree. Without theme_code returns the top-level theme folders (Economy, Population, Transport, etc.) — the practical starting points. With a theme_code returns its immediate children: subtheme folders and datasets in that branch. Use this for structured
eurostat_get_dataset_infoFetch metadata for a Eurostat dataset: dimensions with valid values, time range, observation count, and last-update date. Call this before eurostat_query_dataset or eurostat_download_dataset to discover what dimension codes are valid (unit, na_item, geo, etc.); eurostat_download_
eurostat_get_dimension_valuesList the valid values for a dimension in a Eurostat dataset, preserving value codes and labels exactly. Use this when eurostat_get_dataset_info returns more values than its sample, or to confirm exact filter codes before querying. Dimension identifiers match exactly first, then c
eurostat_query_datasetFetch statistical data from a Eurostat dataset with dimension filters. Returns a deterministic inline prefix of decoded observations with dimension codes and labels, numeric values, an OBS_FLAG status (e.g., "p" = provisional, "e" = estimated) and a separate CONF_STATUS confident
eurostat_download_datasetDownload a Eurostat dataset in bulk through the SDMX 2.1 TSV endpoint and stage it as a SQL table on the dataframe canvas — the route to a whole dataset, where eurostat_query_dataset is the route to a slice of one. The TSV wire format is roughly half the bytes of the JSON-stat bo
eurostat_dataframe_describeList the tables staged on a Eurostat dataframe canvas, with their row counts and column names and types. Call this before eurostat_dataframe_query to learn the table and column names to write SQL against. The canvas_id comes from a eurostat_query_dataset or eurostat_download_data
eurostat_dataframe_queryRun a read-only SQL SELECT against tables staged on a Eurostat dataframe canvas, reaching observations beyond an inline preview and aggregating or joining tables without re-fetching Eurostat. Call eurostat_dataframe_describe first for table and column names. Only a single SELECT
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
546ms 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(0.11.2)은 5일 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/eurostat-mcp-server Search and query the Eurostat catalogue — EU economy, demography, trade, health, and NUTS regional data via MCP. STDIO or Streamable HTTP. 6 Tools (up to 9 with the dataframe canvas) • 2 Resources • 1 Skill
Public Hosted Server: https://eurostat.caseyjhand.com/mcp
EU statistics from Eurostat: economy, demography, trade, health, and NUTS regional data, including detailed Comext trade and PRODCOM industrial production. Search or browse the catalogue, inspect a dataset's dimensions, then query a slice or bulk-download the whole thing.
The three eurostat_dataframe_* tools need the dataframe canvas, which is on by default and off with CANVAS_PROVIDER_TYPE=none; eurostat_dataframe_drop also needs EUROSTAT_DATAFRAME_DROP_ENABLED=true.
| Tool | Description |
|---|---|
eurostat_search_datasets | Search the Eurostat catalogue by keyword — returns codes, descriptions, period coverage, and theme breadcrumbs |
eurostat_browse_themes | Navigate the Eurostat theme hierarchy — list root themes or drill into subthemes and datasets |
eurostat_get_dataset_info | Fetch dataset metadata: dimensions with sample values, time range, observation count, and last-update date |
eurostat_get_dimension_values | List all valid codes for one dataset dimension, paged, with a code/label word filter and NUTS hierarchy filtering for geo |
eurostat_query_dataset | Fetch a bounded preview of decoded observations with dimension filters, NUTS geo-level, and time-range controls |
eurostat_download_dataset | Download a whole dataset via the SDMX bulk endpoint and stage every row on the dataframe canvas |
eurostat_dataframe_describe | List the tables staged on a dataframe canvas, with row counts and column types |
eurostat_dataframe_query | Run a read-only SQL SELECT across staged tables |
eurostat_dataframe_drop | Remove one staged table from a dataframe canvas, leaving its other tables in place (opt-in) |
| Resource | Description |
|---|---|
eurostat://dataset/{dataset_code} | Dataset metadata (dimensions, time range, observation count, last-updated) by URI |
skill://eurostat-guide/SKILL.md | Statistical comparison gates, identifier provenance, and SQL analysis workflows |
The same metadata is available through eurostat_get_dataset_info for tool-only clients.
eurostat-guide covers country and regional comparisons, Comext aggregation, missing-data interpretation, and SQL joins over staged observations. It ships with plugin, npm, Docker, and MCPB installs and is served over MCP at skill://eurostat-guide/SKILL.md; supporting SQL examples are included under the skill's references/ directory.
eurostat_search_datasets toolquery words are ANDed case-insensitively across each dataset's label, theme breadcrumb, and code, ignoring spacing beside punctuation (Rev.2 finds Rev. 2); limit is a positive integer (default 20), clamped to 100 with a notice. Page by passing nextCursor back as cursor; cursor calls ignore limitcode, label, type (dataset / table), period coverage, obsCount, lastUpdated, and themePath, with totalMatches across every page; fails as no_match (naming the words whose removal finds matches or, when none does, the words that match no dataset), invalid_cursor, or a retryable upstream_fault when no catalogue is loaded and Eurostat's table of contents is unreachablecomextListMissing and a notice; a catalogue that could not be refreshed carries catalogueLoadedAteurostat_browse_themes tooltheme_code for the top-level theme folders; pass a folder code for its immediate children. Codes resolve exact-first, then case-insensitively. The Comext collections sit under ext_go_detail (detailed trade, in ext_go) and prom (PRODCOM, in icts)code, label, type (folder / dataset / table), and hasChildren, with a parentPath breadcrumb and otherPlacements for a folder filed in several branches; fails as not_found for an unknown code, not_a_folder for a dataset or table code, or a retryable upstream_fault when no catalogue is loaded and Eurostat's table of contents is unreachableext_go and icts carry comextListMissing and a notice; a catalogue that could not be refreshed carries catalogueLoadedAteurostat_get_dataset_info tooldataset_code; returns every dimension with valuesCount and up to 10 sampleValues, plus timeRange, obsCount, lastUpdated, and the ESMS metadataUrlnot_found for an unknown dataset, or upstream_fault when Eurostat returns a structure the server cannot read (retryable when the endpoint is down)eurostat_get_dimension_values tooldataset_code plus dimension, resolved exact-first then case-insensitively (TIME_PERIOD aliases time); returned value codes and labels stay unchanged. For geo, geo_level picks a NUTS level (aggregate, country by default, nuts1, nuts2, nuts3). filter keeps values whose code and label contain every word given, ignoring case and accents (palma frankfurt finds DE_EDDF_ES_LEPA), counted in matchCountlimit defaults to 25 and clamps to 1,000 with a notice. Pages contain that many values, fewer at the end, with totalCount for the full list; a page with more after it carries truncated, nextCursor (pass back as cursor), and a notice. Continuations retain the effective count and ignore a new limit; older cursors above 1,000 normalize to 1,000 with disclosure. Fails as not_found, no_results, conflicting_params, invalid_cursor, upstream_fault (retryable when the endpoint is down), or canvas_not_foundcanvas_id stages every value on that canvas as a code / label table (canvasId / tableName / stagedRowCount) that labels a download's code columns through a join; it never starts a canvas of its owneurostat_query_dataset tooldataset_code plus filters ({dimension_code: [values]}), geo_level, and either since_period / until_period (2020, 2020-Q1, 2020-01, down to YYYY-Wnn and YYYY-Dnnn) or last_n_periods; preview_limit is a positive integer (default 25), clamped to 500 with a notice; lang is EN, FR, or DEstage: true stages the whole match on an available canvas, regardless of size; reuse canvas_id or omit it to create one. Without it, automatic staging starts above 5,000 observations. truncated still describes that threshold; tableName identifies a staged result. Canvas-disabled deployments disclose an explicit staging request as unavailablelast_n_periods counts dataset time positions, which can include periods with no populated cells. A notice names gaps across the full match (up to the newest 24, with an omitted count); increase N or replace it with until_period to reach earlier observationssince_period–until_period, per frequency. A notice names a period a bound falls inside and the bound that includes it. A one-day range goes out as time= , because Eurostat ignores one-day boundsvalue, status (OBS_FLAG), and confStatus (CONF_STATUS); obsCount, missingObsCount, absentCellCount (periods a matched series lacks, which are not observations and are never staged), and timeRange cover the whole match, truncated is true above 5,000 observations, and unmatchedValues names filter values that matched nothingnot_found, no_results (naming the unmatched values, the periods with no value, why a range selected no period, or geo_level as the likely cause when Eurostat's reply says nothing more), invalid_dimension, invalid_period, conflicting_params, a non-retryable async_response for a query too large to serve, canvas_not_found, or a retryable upstream_fault when the Statistics API is downeurostat_download_dataset tooldataset_code plus the same filters map and since_period / until_period (no last_n_periods: the TSV keeps a column per period unless a range drops it); preview_limit is a positive integer (default 25), clamped to 500 with a noticeobs_value and no flag, status or text (an unflagged :) is not an observation: it is a period the series lacks, or a period of a frequency the series has no observation of (the padding of a mixed-frequency slice)rowCount (echoed as totalCount), missingCount, absentCellCount (the unflagged rows at periods of a frequency the series carries), periodRange (bounded by rows carrying a value, flag, status, or text), and bytesRead for the whole download; fails as not_found, invalid_dimension, invalid_period, filter_arity, a non-retryable async_queued or extraction_too_big, no_results, upstream_fault (retryable when the SDMX endpoint is down), or canvas_not_foundEUROSTAT_BULK_MAX_BYTES budget (default 50 MiB decoded) retains complete rows within the permitted prefix and returns budgetExceeded: true. A budget too small for a complete header and usable row fails as byte_budget_exceeded, with the configured limit and narrowing guidance. bytesRead counts accepted decoded bytes, never more than the앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요