Labour Market Statistics
Labour market statistics for AI agents: unemployment, employment and wages for 150+ countries.
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"labour-market-statistics": {
"url": "https://monit.ly/api/mcp/labour"
}
}
}远程端点
https://monit.ly/api/mcp/labourstreamable-http它能做什么
工具清单
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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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
}社区
证据