Labour Market Statistics
Labour market statistics for AI agents: unemployment, employment and wages for 150+ countries.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"labour-market-statistics": {
"url": "https://monit.ly/api/mcp/labour"
}
}
}遠端端點
https://monit.ly/api/mcp/labourstreamable-http它能做什麼
工具清單
工具（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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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
}社群
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