
Labour Market Statistics MCP Server
by contentwritercoio.github.ContentWriterco/labour-market-statisticsv1.0.0
Labour market statistics for AI agents: unemployment, employment and wages for 150+ countries.
context tax
~663 tok/turn4 tools
security
pending
cold start
hosted
freshness
pending
Our reading of Labour Market Statistics, from the data
Labour Market Statistics is an MCP server from contentwriterco, listed in the official MCP Registry.
Its 4 tools add about 663 tokens to every model turn (measured 2026-10-19).
It runs as a hosted endpoint, so there is nothing to install.
Install Labour Market Statistics MCP server
Install in Claude Code
claude mcp add --transport http labour-market-statistics https://monit.ly/api/mcp/labourInstall in Cursor
{
"mcpServers": {
"labour-market-statistics": {
"url": "https://monit.ly/api/mcp/labour"
}
}
}Install in Claude Desktop
{
"mcpServers": {
"labour-market-statistics": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://monit.ly/api/mcp/labour"
]
}
}
}Or add it as a custom connector under Settings → Connectors. The config above bridges via mcp-remote.
Install in VS Code
{
"servers": {
"labour-market-statistics": {
"type": "http",
"url": "https://monit.ly/api/mcp/labour"
}
}
}Install in Windsurf
{
"mcpServers": {
"labour-market-statistics": {
"serverUrl": "https://monit.ly/api/mcp/labour"
}
}
}Remote endpoints
- streamable-http
https://monit.ly/api/mcp/labour
Context tax
Connecting this server adds ~663 tokens of tool definitions to every model turn (lean, 4 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure
| Model | Per 1,000 turns | With prompt caching |
|---|---|---|
| Claude Opus 5.5 | $2.65 | $0.133 |
| Claude Sonnet 5.5 | $1.33 | $0.133 |
| Claude Haiku 5.5 | $0.066 | — |
Input prices as of 2026-10-06. Excludes your own prompt and output.
Tools (4)
get_series244 tokTime 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.
search_catalog180 tokFind 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.
inspect_dataset94 tokShow 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.
get_dataset65 tokFull metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.
Freshness
Not enough public signals yet to judge maintenance.
Last commit (default branch)
2026-10-09 · 9d ago · GitHub
Latest release
2026-10-09 · 9d ago · GitHub · gemini-v1.0.0
Package published
no data · npm/PyPI
Registry entry updated
2026-10-09 · 9d ago · official registry · v1.0.0
FAQ
›How do I install the Labour Market Statistics MCP server in Claude Code?
Run: claude mcp add --transport http labour-market-statistics https://monit.ly/api/mcp/labour. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Labour Market Statistics require an API key?
No required environment variables are declared in its published metadata.
›Can I use Labour Market Statistics as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is Labour Market Statistics in the official MCP registry?
Yes, as io.github.ContentWriterco/labour-market-statistics.
›How many tokens does Labour Market Statistics add to my context?
Its tool definitions total about 663 tokens, resent on every turn.
Sources and method
- Official MCP Registry entry
- updated 2026-10-09
- GitHub repository
- fetched 2026-10-19
- Tool list (tools/list), measured by us
- 2026-10-19
- Last checked against all sources
- 2026-10-19
The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.