Labour Market Statistics
Labour market statistics for AI agents: unemployment, employment and wages for 150+ countries.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"labour-market-statistics": {
"url": "https://monit.ly/api/mcp/labour"
}
}
}Remote-Endpunkte
https://monit.ly/api/mcp/labourstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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
}Community
Nachweis