Labour Market Statistics

Official4 tools

by ContentWriterco

Labour market statistics for AI agents: unemployment, employment and wages for 150+ countries.

io.github.ContentWriterco/labour-market-statistics (MCP Server)

The io.github.ContentWriterco/labour-market-statistics MCP server provides labour market statistics targeted at AI agents. Its description specifies data covering unemployment, employment, and wages across 150+ countries. Content is positioned as a dataset or source of labour market indicators for downstream use.

🛠️ Key Features

Unemployment statistics
Employment statistics
Wage information
Coverage for 150+ countries

🚀 Use Cases

Supplying AI agents with labour market indicators
Comparing unemployment, employment, and wage metrics across countries
Feeding workforce and economic context into automated analysis

⚡ Developer Benefits

Clear topic focus on labour market statistics
Country-scale coverage (150+ countries) for multi-region applications

⚠️ Limitations

Available details only confirm unemployment, employment, and wages; no other scope is stated

Topics

labour-marketmcpmcp-servermodel-context-protocolopen-datastatisticsunemploymentgemini-cli-extension

Captured live from the server via tools/list.

search_catalog

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.

Parameters4

query	string	required	What to find, e.g. 'unemployment rate' or 'GDP per capita'.
country	string	optional	Optional country name to prefer datasets covering it, e.g. 'Germany'.
source_name	string	optional	Optional source, e.g. 'Eurostat', 'OECD', 'World Bank', 'IMF'.
limit	integer	optional	Max results (default 8).

Raw 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

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.

Parameters2

id	integer	required	Dataset id from search_catalog.
country	string	optional	Optional country, e.g. 'France'.

Raw 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

Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.

Parameters1

integer

required

Dataset id from search_catalog.

Raw schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "integer",
      "description": "Dataset id from search_catalog."
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}

get_series

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.

Parameters8

id	integer	required	Dataset id from search_catalog.
country	string	optional	Country, e.g. 'Poland'. Defaults to the dataset's default country.
dim1	string	optional	Optional exact value of dimension 1.
dim2	string	optional	Optional exact value of dimension 2.
dim3	string	optional	Optional exact value of dimension 3.
dim4	string	optional	Optional exact value of dimension 4.
period_from	string	optional	Optional first period to include, e.g. '2015'.
max_points	integer	optional	Max points, most recent kept (default 200).

Raw 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
}

README.md2 KBView on GitHub

Labour Market Statistics MCP Server

Unemployment, employment, wages and earnings, labour costs and social protection from Eurostat, OECD, the ILO, the World Bank and national statistics offices.

Remote MCP server (Streamable HTTP), read-only, hosted by Monitly.

code

https://monit.ly/api/mcp/labour

Tools

Tool	What it does
`search_catalog`	Find labour market datasets by topic, country and source.
`inspect_dataset`	Check country coverage, dimensions and the latest values.
`get_dataset`	Dataset metadata and period range.
`get_series`	Time series for one country.

Example prompts

What is the unemployment rate in Spain?
How have average wages in Poland changed since 2010?
Compare youth unemployment across the EU.

Authentication

No account or key is needed. A fair-use daily limit applies; for higher volumes use the keyed Monitly MCP at https://monit.ly/mcp-docs.

Setup

Claude (claude.ai, Desktop): Settings → Connectors → Add custom connector → paste the URL above.

Cursor / VS Code / Windsurf (mcp.json):

json

{
  "mcpServers": {
    "labour-market-statistics": {
      "url": "https://monit.ly/api/mcp/labour"
    }
  }
}

ChatGPT: Settings → Apps → Developer mode → Create → paste the URL.

About

Part of the Monitly MCP family. Full Monitly catalog (100,000+ datasets, all topics): https://monit.ly/api/mcp/public.

Questions: info@monit.ly

Gemini CLI

bash

gemini extensions install https://github.com/ContentWriterco/Labour-Market-Statistics-MCP

No account or key needed.

Setup guides

Step-by-step setup guides for Claude, ChatGPT, Gemini, Grok, Le Chat, Perplexity, Cursor, VS Code and Claude Code: https://monit.ly/mcp/connect

Install

Tools (4)

search_cataloginspect_datasetget_datasetget_series

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://monit.ly/api/mcp/labour

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "labour-market-statistics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://monit.ly/api/mcp/labour"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

io.github.ContentWriterco/labour-market-statistics (MCP Server)

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

search_catalog

inspect_dataset

get_dataset

get_series

Labour Market Statistics MCP Server

Tools

Example prompts

Authentication

Setup

About

Gemini CLI

Setup guides

Install

Remote endpoint

Related servers