MCP server

ILO Labour Statistics (ILOSTAT): unemployment, wages, informality

io.github.SidneyBissoli/ilo-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Labour market data from the ILO (ILOSTAT) by country, year, sex and age, with provenance.

Website Source

At a glance

Type

MCP server

Publisher

sidneybissoli.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 2,660 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ilo-mcp-server https://ilo.sidneybissoli.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ilo-mcp-server]
url = "https://ilo.sidneybissoli.com/mcp"

Gemini CLI

{"mcpServers":{"ilo-mcp-server":{"httpUrl":"https://ilo.sidneybissoli.com/mcp"}}}

Cursor

{"mcpServers":{"ilo-mcp-server":{"url":"https://ilo.sidneybissoli.com/mcp"}}}

VS Code

{"servers":{"ilo-mcp-server":{"type":"http","url":"https://ilo.sidneybissoli.com/mcp"}}}

Antigravity

agy mcp add ilo-mcp-server https://ilo.sidneybissoli.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ilo-mcp-server","server_url":"https://ilo.sidneybissoli.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ilo-mcp-server","server_url":"https://ilo.sidneybissoli.com/mcp"}

Tools

• fetch ~258 tokens
  Returns the full document for an id obtained from `search`, as { id, title, text, url, metadata }: `text` is the readable content (Markdown) and `url` the canonical public page to cite. Companion of `search` in the OpenAI Deep Research contract, over the ILOSTAT labour statistics (≈1,200 SDMX dataf
• ilo_get_data ~748 tokens
  Statistical observations from one ILOSTAT dataflow, filtered by dimension codes (filters, e.g. {"REF_AREA": ["BRA","ARG"], "SEX": "SEX_T"}) and period (start_period/end_period, e.g. "2015"/"2024"). REF_AREA is required, maximum 30 areas per call — for broad panels, split areas into batches and/or pa
• ilo_get_indicator_metadata ~270 tokens
  Structure of one ILOSTAT dataflow: dimensions (in SDMX key order), their codelists, the time dimension, the source's default selection and the data vintage (last update at the ILO). Use before ilo_get_data to know which filters exist. Does not return statistical values and does not list the codes th
• ilo_list_dimension_values ~499 tokens
  Valid codes (id + label) of one dimension of an ILOSTAT dataflow — e.g. the country/area codes of REF_AREA (ISO 3166-1 alpha-3 such as BRA, plus X-codes for aggregates such as X01 World) or the categories of SEX (SEX_T/SEX_M/SEX_F) and AGE. Use `search` to resolve a name to a code (e.g. search "Braz
• ilo_search_indicators ~538 tokens
  Search the ILOSTAT catalogue of ~1,200 indicator dataflows by keywords in the name or id (e.g. "unemployment rate sex age"). All terms must match (AND, case-insensitive), so start with 2–3 English words and drop terms if you get 0 results. Everyday and US wording is resolved to the ILO's own (labor→
• search ~347 tokens
  Searches the ILOSTAT labour statistics (≈1,200 SDMX dataflows: employment, unemployment, wages, working time, informality, SDG labour indicators) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched). This tool exists for t

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