Swiss Statistics MCP server

🇨🇭 Part of the Swiss Public Data MCP Portfolio

📊 swiss-statistics-mcp

MCP Server for Swiss Federal Statistical Office (BFS) data via STAT-TAB PxWeb API — 682 datasets across 21 themes, no authentication required

🇩🇪 Deutsche Version

Demo

Maturity

This server is Alpha (0.x) as per the PyPI classifier. Until 1.0:

• Tool names, input schemas, and output JSON keys MAY change between minor versions
• Pin cloud deployments to a specific git tag, not main
• Production use is acceptable for read-only Open Data scenarios; consider it experimental for anything user-facing

See CHANGELOG.md for breaking changes.

Overview

swiss-statistics-mcp provides AI-native access to the Swiss Federal Statistical Office (BFS) via the STAT-TAB PxWeb API, without authentication:

Anchor demo query: "How many students attended lower secondary schools in the canton of Zurich in 2024?" — real BFS figures, no hallucination.

Features

• 📊 15 tools: 8 across 21 statistical themes (682 datasets) + a 4-tool commune/historical reference layer + 2 construction/real-estate tools + a price-index tool
• 🔍 Full-text search across the entire BFS data catalogue
• 🎓 Convenience tools for education statistics and population data
• 🏗️ Construction statistics — new buildings/dwellings and building investment incl. the Arbeitsvorrat leading indicator
• 🏠 Price indices — construction price index (Baupreisindex, parsed series) and residential property price index (IMPI) via the BFS DAM/CKAN sources
• 🏔️ Cross-cantonal comparison for any table and variable
• 🔓 No API key required — all data under open licences
• ☁️ Dual transport — stdio (Claude Desktop) + Streamable HTTP (cloud)

Prerequisites

• Python 3.11+
• uv (recommended) or pip

Installation

# Clone the repository
git clone https://github.com/malkreide/swiss-statistics-mcp.git
cd swiss-statistics-mcp

# Install
pip install -e .
# or with uv:
uv pip install -e .

Or with uvx (no permanent installation):

uvx swiss-statistics-mcp

Quickstart

# stdio (for Claude Desktop)
python -m swiss_statistics_mcp.server

# Streamable HTTP, loopback only (default: host=127.0.0.1, port=8000)
python -m swiss_statistics_mcp.server --http --port 8000

# Streamable HTTP, all interfaces (only behind a reverse proxy with access control)
MCP_HOST=0.0.0.0 python -m swiss_statistics_mcp.server --http --port 8000
# or
python -m swiss_statistics_mcp.server --http --host 0.0.0.0 --port 8000

Try it immediately in Claude Desktop:

Shortened. The full README is on GitHub.