MCP server
Istat It
io.github.pipeworx-io/istat-it
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
ISTAT (Istituto Nazionale di Statistica) MCP — Italy's national statistics
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,089 tokens per request once connected45 tools
https://gateway.pipeworx.io/istat-it/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 27,089 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 istat-it https://gateway.pipeworx.io/istat-it/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.istat-it] url = "https://gateway.pipeworx.io/istat-it/mcp"
Gemini CLI
{"mcpServers":{"istat-it":{"httpUrl":"https://gateway.pipeworx.io/istat-it/mcp"}}}
Cursor
{"mcpServers":{"istat-it":{"url":"https://gateway.pipeworx.io/istat-it/mcp"}}}
VS Code
{"servers":{"istat-it":{"type":"http","url":"https://gateway.pipeworx.io/istat-it/mcp"}}}
Antigravity
agy mcp add istat-it https://gateway.pipeworx.io/istat-it/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":"istat-it","server_url":"https://gateway.pipeworx.io/istat-it/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"istat-it","server_url":"https://gateway.pipeworx.io/istat-it/mcp"}
Tools
dataflow_structure~175 tokens
Get the structure (Data Structure Definition) of one ISTAT 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. Example: dataflget_data~402 tokens
Pull observations from an ISTAT 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. Example: get_data({ dataflow_id: "101_1015", key: "A.IT...", start_period: "2021", end_period: "2023" }list_dataflows~209 tokens
Browse or keyword-search ISTAT datasets (dataflows). Each result has an `id` (the dataflowId you pass to get_data / dataflow_structure) and an English name. ISTAT publishes ~4,800 datasets, so always pass `query` to filter unless you really want the whole list. Example: list_dataflows({ query: "unem
Browse
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