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Statistik Austria MCP

by DV155version 1.1.0i★ –iRuns on your computer
Registry nameio.github.DV155/statistik-austria-mcp

Install

Overview

Description from the maker (original English)

Search and query Statistik Austria open data (OGD) with codes resolved to readable labels.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Law & government data

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "statistik-austria": {
      "command": "uvx",
      "args": [
        "statistik-austria-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add statistik-austria -- uvx statistik-austria-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "statistik-austria": {
      "command": "uvx",
      "args": [
        "statistik-austria-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "statistik-austria": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "statistik-austria-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account DV155, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Law & government datai

  • More stars than 0% of the other 1759 servers in this category
  • Published to the registry more recently than 72% of the other 1759 servers in this category
  • Basic checks equal to or better than 100% of the other 1759 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Statistik Austria MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: TRON USDT Risk Checker, Private Law Wiki, MapleStats MCP

Alternatives

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MapleStats MCP

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Computer or cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Statistik Austria MCP Server An MCP server that gives AI assistants access to Statistik Austria's open data portal

Table of Contents

About The Project

Built With

Getting Started

Prerequisites Installation

Usage

Limitations

Data Source Contributing License Contact

About The Project

A Model Context Protocol server for the free Open Government Data portal of Statistik Austria (data.statistik.gv.at). It lets an AI assistant such as Claude search the catalog, read a dataset's structure and fetch its data directly, instead of you downloading and pasting CSV files.

The portal publishes each dataset as a set of files with coded values, so a raw table is hard for a model to read correctly. The server joins the classification files onto the data, so every value arrives as a readable German label together with its original code, and marks the rows that are totals of other rows.

Built as a personal learning project to practise building MCP servers.

Features:

  • Keyword search over the full OGD catalog (around 540 datasets)
  • Dataset metadata: dimensions and measures
  • Data with codes resolved to German labels, formatted label
  • Total rows are flagged, so the assistant doesn't add a total to its own parts
  • Filters by dimension value, so large tables don't have to be read in full
  • Paging that never drops rows silently: every response says how many rows exist and where to continue
  • Clear messages for datasets in formats the server can't read, instead of a bare error
  • Downloads are cached for an hour, so paging through a dataset doesn't download it again
Built With

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Getting Started

The server runs locally on your computer and talks to your MCP client over stdio. uvx installs and starts it, so there is nothing to clone for normal use.

Prerequisites
  • uv (it downloads a matching Python version automatically)
  • Git
  • Claude Desktop or Claude Code (or any other MCP client)
Installation

Claude Desktop

  1. Open the config file. In Claude Desktop, go to Settings → Developer → Edit Config, or open it directly:
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  1. Add the server
   {

"mcpServers": { "statistik-austria": { "command": "uvx", "args": ["--from", "git+https://github.com/DV155/Statistik-Austria-MCP-Server", "statistik-austria-mcp"] } } }

3. Quit Claude Desktop completely and start it again.

Claude Code

claude mcp add --transport stdio --scope user statistik-austria -- uvx --from git+https://github.com/DV155/Statistik-Austria-MCP-Server statistik-austria-mcp

The first start takes a while, because uv installs the dependencies (pandas is the largest). To get that out of the way, run the uvx command above once in a terminal and stop it with Ctrl+C once it is running. If Claude can't find uvx, replace "uvx" with its full path (which uvx shows it). Claude Desktop writes the server's logs to %APPDATA%\Claude\logs on Windows and ~/Library/Logs/Claude on macOS.

Local development

  1. Clone the repo
   git clone https://github.com/DV155/Statistik-Austria-MCP-Server.git

cd Statistik-Austria-MCP-Server

2. Install the dependencies
   uv sync
  1. Start the server in the MCP Inspector
   uv run mcp dev src/statserver/server.py

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Usage

Ask Claude a question about Austrian statistics, and it uses the tools on its own.

ToolWhat it does
search_datasetSearches the catalog by keyword and returns matching dataset IDs and titles
fetch_dataset_jsonReturns a dataset's dimensions and measures with their codes
fetch_dataset_csvReturns the data with labels, total-row flags and paging; filters keeps only the rows for given dimension values

The server also provides an ogd://catalog resource with the catalog's categories.

Tip: the catalog's titles are German, so the server searches in German. Claude translates the question itself, but asking in German works just as well.

Limitations

Tested against all 543 datasets in the catalog in October 2026:

  • 474 load fully
  • 66 are published in formats the server can't read (zip archives and map services such as WFS and WMS); the server says so instead of failing
  • 2 contain no data rows
  • 1 (OGDEXT_BINNENWAND_1) loads without labels and slowly

Other limitations:

  • Only the free OGD portal is supported, not the paid STATcube API
  • The catalog is read from the portal's HTML page, so search stops working if Statistik Austria changes that page's structure
  • The first request for a very large dataset can take several seconds while it downloads

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Data Source

All data comes from Statistik Austria - data.statistik.gv.at, licensed under CC BY 4.0. When you publish results obtained through this server, credit Statistik Austria as the source.

This is an independent project and is not affiliated with or endorsed by Statistik Austria.

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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Top contributors:

License

Distributed under the MIT license. See LICENSE for more information.

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Contact

Daniil Vasilcovschii - LinkedIn - GitHub

Project Link: https://github.com/DV155/Statistik-Austria-MCP-Server

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