MCP server
Statec Lu
io.github.pipeworx-io/statec-lu
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
STATEC (Institut national de la statistique et des études économiques du
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,162 tokens per request once connected45 tools
https://gateway.pipeworx.io/statec-lu/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 27,162 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 statec-lu https://gateway.pipeworx.io/statec-lu/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.statec-lu] url = "https://gateway.pipeworx.io/statec-lu/mcp"
Gemini CLI
{"mcpServers":{"statec-lu":{"httpUrl":"https://gateway.pipeworx.io/statec-lu/mcp"}}}
Cursor
{"mcpServers":{"statec-lu":{"url":"https://gateway.pipeworx.io/statec-lu/mcp"}}}
VS Code
{"servers":{"statec-lu":{"type":"http","url":"https://gateway.pipeworx.io/statec-lu/mcp"}}}
Antigravity
agy mcp add statec-lu https://gateway.pipeworx.io/statec-lu/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":"statec-lu","server_url":"https://gateway.pipeworx.io/statec-lu/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"statec-lu","server_url":"https://gateway.pipeworx.io/statec-lu/mcp"}
Tools
dataflow_structure~178 tokens
Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX `key`. The key has one position per dimension, in `dimension_order`; an empty position is a wildcard. Examget_data~423 tokens
Pull observations from a STATEC 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. Fetch dataflow_structure first to know the dimension order and valid codes. Example: get_data({ dataflolist_dataflows~258 tokens
Browse or keyword-search STATEC (Luxembourg statistics) datasets, called "dataflows". Each result has an `id` (e.g. "DF_A1100", the dataflowRef you pass to get_data / dataflow_structure) and an English name plus a short description (publication date, periodicity, author, category). STATEC publishes
Browse
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