MCP server
Ilostat
io.github.pipeworx-io/ilostat
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
ILOSTAT (International Labour Organization statistics) MCP — global labour market data via the…
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,263 tokens per request once connected45 toolsDescription tries to instruct AI agents
https://gateway.pipeworx.io/ilostat/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 45
- Token cost
- About 27,263 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
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 ilostat https://gateway.pipeworx.io/ilostat/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ilostat] url = "https://gateway.pipeworx.io/ilostat/mcp"
Gemini CLI
{"mcpServers":{"ilostat":{"httpUrl":"https://gateway.pipeworx.io/ilostat/mcp"}}}
Cursor
{"mcpServers":{"ilostat":{"url":"https://gateway.pipeworx.io/ilostat/mcp"}}}
VS Code
{"servers":{"ilostat":{"type":"http","url":"https://gateway.pipeworx.io/ilostat/mcp"}}}
Antigravity
agy mcp add ilostat https://gateway.pipeworx.io/ilostat/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":"ilostat","server_url":"https://gateway.pipeworx.io/ilostat/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ilostat","server_url":"https://gateway.pipeworx.io/ilostat/mcp"}
Tools
dataflow_structure~238 tokens
Get the structure (Data Structure Definition) of one ILOSTAT dataset: its ordered dimensions and, for each, the valid codes. Use this to learn how to build the dot-separated SDMX key for get_data. The key positions correspond to the dimensions in order; an empty position is a wildcard. Common dimensget_data~450 tokens
Pull observations from an ILOSTAT dataset. `key` is a dot-separated SDMX dimension filter, one position per dimension in the order given by dataflow_structure; leave a position empty to wildcard it. ILO keys typically start with REF_AREA then FREQ; e.g. get_data({ dataflow_id: "DF_SDG_0852_SEX_AGE_Rlist_dataflows~272 tokens
Browse or keyword-search ILOSTAT datasets (dataflows) from the International Labour Organization. Each result has an `id` (the dataflowId you pass to get_data / dataflow_structure) and an English name. ILO publishes ~1,200 datasets covering employment, unemployment, labour force participation, wages
Browse
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