MCP server
Czso Cz
io.github.pipeworx-io/czso-cz
Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools
Czech Statistical Office (Český statistický úřad, ČSÚ) open-data MCP.
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 28,665 tokens per request once connected48 tools
https://gateway.pipeworx.io/czso-cz/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 48
- Token cost
- About 28,665 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 28 Oct 2026, 09:03 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 czso-cz https://gateway.pipeworx.io/czso-cz/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.czso-cz] url = "https://gateway.pipeworx.io/czso-cz/mcp"
Gemini CLI
{"mcpServers":{"czso-cz":{"httpUrl":"https://gateway.pipeworx.io/czso-cz/mcp"}}}
Cursor
{"mcpServers":{"czso-cz":{"url":"https://gateway.pipeworx.io/czso-cz/mcp"}}}
VS Code
{"servers":{"czso-cz":{"type":"http","url":"https://gateway.pipeworx.io/czso-cz/mcp"}}}
Antigravity
agy mcp add czso-cz https://gateway.pipeworx.io/czso-cz/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":"czso-cz","server_url":"https://gateway.pipeworx.io/czso-cz/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"czso-cz","server_url":"https://gateway.pipeworx.io/czso-cz/mcp"}
Tools
data_summary~198 tokens
Cheap content summary for a ČSÚ dataset from the data layer: number of data cells (pocetUdaju), covered time range (casovaDimenzeOd/Do), per-dimension value counts, and last-change/publish times. Use this before get_data to gauge size, since full datasets can be large. Version (verze) is auto-resolvdataset_detail~143 tokens
Full catalog metadata for one ČSÚ dataset by id (kod): description, keywords, indicators (ukazatele), dimension variants (variantyDimenze), selection rules, update periodicity and themes. Catalog layer only — use data_summary / get_data for the actual numbers.get_data~269 tokens
Fetch the actual observations/values for a ČSÚ dataset as JSON-stat 2.0 (dimensions in `id`/`dimension`, cell counts in `size`, numbers in `value`). Verified live. NOTE: returns the complete dataset as a full cross-product, which is often large (hundreds of thousands of cells, 1MB+) — call data_summlist_datasets~235 tokens
Browse the Czech Statistical Office (ČSÚ) open-data catalog of datasets ('datové sady'). Returns id (kod), version (verze), Czech title (nazev), status, and available time/territory levels. The full catalog is ~781 datasets; filter by a case-insensitive substring of the Czech title (the API has no s
Browse
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