MCP server
Cso Ie
io.github.pipeworx-io/cso-ie
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Ireland Central Statistics Office (CSO) PxStat MCP.
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,025 tokens per request once connected46 tools
https://gateway.pipeworx.io/cso-ie/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 46
- Token cost
- About 27,025 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 cso-ie https://gateway.pipeworx.io/cso-ie/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.cso-ie] url = "https://gateway.pipeworx.io/cso-ie/mcp"
Gemini CLI
{"mcpServers":{"cso-ie":{"httpUrl":"https://gateway.pipeworx.io/cso-ie/mcp"}}}
Cursor
{"mcpServers":{"cso-ie":{"url":"https://gateway.pipeworx.io/cso-ie/mcp"}}}
VS Code
{"servers":{"cso-ie":{"type":"http","url":"https://gateway.pipeworx.io/cso-ie/mcp"}}}
Antigravity
agy mcp add cso-ie https://gateway.pipeworx.io/cso-ie/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":"cso-ie","server_url":"https://gateway.pipeworx.io/cso-ie/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"cso-ie","server_url":"https://gateway.pipeworx.io/cso-ie/mcp"}
Tools
dataset_metadata~149 tokens
Get the structure of one CSO table by matrix code: its dimensions, the category codes + human labels for each dimension, size, and last-updated date. Use this to discover valid dimension codes before calling get_dataset with filters.get_dataset~125 tokens
Read a full CSO table as JSON-stat 2.0 (dimensions + flat value array). Some tables are large (the CPI table is ~60k values); use dataset_metadata first to gauge size, or use query_dataset to fetch a filtered slice instead.list_datasets~187 tokens
Search the CSO catalog of ~12,600 Irish statistics tables. Returns matching tables with their matrix code (e.g. "CPM01"), label, dimensions, and last-updated date. The full catalog is large, so always pass a keyword query to narrow it.query_dataset~261 tokens
Read a FILTERED slice of a CSO table via JSON-RPC. Pass a map of dimension code -> array of category index values to keep (get the dimension codes and category index values from dataset_metadata). Returns JSON-stat 2.0 covering only the selected cells — far smaller than get_dataset.
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