Labour Market Statistics
Labour market statistics for AI agents: unemployment, employment and wages for 150+ countries.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"labour-market-statistics": {
"url": "https://monit.ly/api/mcp/labour"
}
}
}원격 엔드포인트
https://monit.ly/api/mcp/labourstreamable-http할 수 있는 일
도구 목록
도구 (4)
🟢search_catalog(query, country, source_name, limit)
Find official labour market datasets (Eurostat, OECD, World Bank, IMF, WHO, national statistics offices). Use first to get dataset ids. Optional country and source filters. Returns dataset cards, not values.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What to find, e.g. 'unemployment rate' or 'GDP per capita'."
},
"country": {
"type": "string",
"description": "Optional country name to prefer datasets covering it, e.g. 'Germany'."
},
"source_name": {
"type": "string",
"description": "Optional source, e.g. 'Eurostat', 'OECD', 'World Bank', 'IMF'."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 16,
"description": "Max results (default 8)."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢inspect_dataset(id, country)
Show one dataset's dimensions, default series and the latest few values for a country. Use after search_catalog to check the dataset fits before pulling the full series.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Dataset id from search_catalog."
},
"country": {
"type": "string",
"description": "Optional country, e.g. 'France'."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢get_dataset(id)
Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Dataset id from search_catalog."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢get_series(id, country, dim1, dim2, dim3, ...)
Time series values for one country from a dataset (oldest first). Optionally pick a series by exact dimension values (from inspect_dataset) and a start period such as 2015, Q1/2015 or 01/2015.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Dataset id from search_catalog."
},
"country": {
"type": "string",
"description": "Country, e.g. 'Poland'. Defaults to the dataset's default country."
},
"dim1": {
"type": "string",
"description": "Optional exact value of dimension 1."
},
"dim2": {
"type": "string",
"description": "Optional exact value of dimension 2."
},
"dim3": {
"type": "string",
"description": "Optional exact value of dimension 3."
},
"dim4": {
"type": "string",
"description": "Optional exact value of dimension 4."
},
"period_from": {
"type": "string",
"description": "Optional first period to include, e.g. '2015'."
},
"max_points": {
"type": "integer",
"minimum": 1,
"maximum": 500,
"description": "Max points, most recent kept (default 200)."
}
},
"required": [
"id"
],
"additionalProperties": false
}커뮤니티
증거