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Istat It

Query and retrieve Italy’s national statistics from ISTAT through three MCP tools for datasets, structures, and observations.

Install Istat It

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "istat-it": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-istat-it"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

The install command started, but didn't respond the way we expected when we tried to talk to it.

npx -y @pipeworx/mcp-istat-it

initialize succeeded but no response to tools/list.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 9d ago.

Overview

Istat It MCP server connects AI agents to Italy’s National Institute of Statistics (ISTAT) and exposes tools for finding datasets, inspecting their dimensions, and retrieving observations. Use `list_dataflows` to locate a dataset, `dataflow_structure` to identify valid dimension codes, and `get_data` to query series with SDMX keys and time ranges. It is suitable for research and analysis involving official Italian statistics. The package can run locally over stdio or through the Pipeworx MCP gateway.

Use cases

  • Find ISTAT datasets about unemployment or GDP
  • Inspect dimension codes before building an SDMX query
  • Retrieve Italian statistical observations for selected years
  • Call ISTAT data tools from an HTTP workflow

Key features

  • Keyword search across ISTAT dataflows
  • Dataflow structure and dimension inspection
  • SDMX key-based observation queries
  • Time-period filtering
  • Hosted HTTP and local stdio access

Tools3

What Istat It lets your agent do. Expand a tool for its parameters.

Self-reported~235 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

8/8 checks healthy over the last 51d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · @pipeworx/mcp-istat-it (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads818Package downloads in the last 30 days.
Last commit29d agoMost recent push to the default branch.
Install checkInconclusiveStarted but did not complete the MCP handshake in our test.
Tools exposed3Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Istat It works

What Istat It MCP server does

Istat It MCP server provides MCP access to datasets published by Istituto Nazionale di Statistica, Italy’s national statistics institute. Its three pack-specific tools cover dataset discovery, schema inspection, and data retrieval.

list_dataflows browses or searches ISTAT dataflows by keyword. Results include a dataflow identifier and an English dataset name. Because ISTAT publishes roughly 4,800 datasets, keyword filtering is generally more practical than requesting the complete catalog.

dataflow_structure returns the structure of one dataset. It identifies the ordered dimensions and the valid codes for each dimension, which are needed to construct a query key.

get_data retrieves observations from a selected dataflow. Results contain decoded series, dimension labels, and values for each period.

How it works

A typical query starts with list_dataflows, using a term such as unemployment or GDP to find a relevant dataflow. Pass the returned identifier to dataflow_structure to learn the exact dimension order and available codes.

Build the get_data key as a dot-separated SDMX filter with one position for every dimension, in the order reported by the structure tool. Leave a position empty to use a wildcard. For example, a key such as A.IT... selects annual data for Italy while leaving later dimensions unrestricted. start_period and end_period can limit the requested time range.

Omitting the key, or providing an empty key, requests all series in the dataflow. That may produce a large response, so filtered keys and period bounds are preferable when the dataset contains many combinations.

Setup and configuration

Istat It MCP server can be added to an MCP client through the hosted Pipeworx endpoint:

config.json
{
  "mcpServers": {
    "istat-it": {
      "url": "https://gateway.pipeworx.io/istat-it/mcp"
    }
  }
}

The README names Claude Desktop, Cursor, and Windsurf as clients that can use this configuration. The hosted endpoint does not require an account for the first calls. It also exposes Pipeworx shared meta-tools in addition to the pack tools, including routing through ask_pipeworx.

For a local connection, run the package with npx:

config.json
{
  "mcpServers": {
    "istat-it": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-istat-it"]
    }
  }
}

The local process communicates through stdin and stdout and provides only the Istat It tools. No environment variables or Pipeworx account are specified as required.

Tools and capabilities

  • Search ISTAT dataflows by keyword.
  • Inspect dimensions and valid codes for a dataflow.
  • Construct SDMX dimension keys from dataset structure information.
  • Retrieve observations for selected series and periods.
  • Call the hosted tools directly over HTTP when an MCP client is unavailable.

The hosted HTTP interface includes endpoints such as POST https://gateway.pipeworx.io/v1/tools/istat_it_list_dataflows, using a JSON request body with a query field.

Limitations and notes

The pack-specific tools cover ISTAT dataflows only. A hosted pack connection also lists shared Pipeworx tools, so its tool count is larger than the three tools described here. The gateway’s initialize response is the authoritative source for the tools available at connection time.

The local package does not include those shared gateway meta-tools. It uses the same source and pack tools but does not provide ask_pipeworx routing. Large unfiltered data requests can return substantial results, particularly when get_data is called without a key.

Reviews

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Frequently Asked Questions about Istat It

Istat It is an MCP server that connects AI agents to ISTAT, Italy’s national statistics institute. Its main tools search dataflows, inspect a dataset’s dimensions and valid codes, and retrieve observations using SDMX keys. It supports hosted Pipeworx access and local stdio operation for MCP-compatible clients.

Run it locally with `npx -y @pipeworx/mcp-istat-it` and configure the command and argument in your MCP client. Alternatively, use the hosted URL `https://gateway.pipeworx.io/istat-it/mcp`. The local mode does not require a Pipeworx account.

Use `list_dataflows` to find a dataset, then call `dataflow_structure` to learn its dimension order and valid codes. Pass a dot-separated SDMX key to `get_data`, with empty positions as wildcards, and optionally provide `start_period` and `end_period`.

Add the hosted MCP URL to Cursor’s MCP server configuration, or configure the local `npx` command for a stdio connection.

Yes, the hosted tools can be called over HTTP. For example, send a JSON POST request to the `istat_it_list_dataflows` endpoint with a `query` value to search ISTAT dataflows.

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