🏙️ Zurich Open Data MCP Server

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An MCP (Model Context Protocol) server providing AI-powered access to Open Data from the City of Zurich, Switzerland.

Enables Claude, ChatGPT, and other MCP-compatible AI assistants to directly query 900+ datasets, geodata, parliamentary proceedings, tourism data, linked data, and real-time environmental and mobility information from the City of Zurich. 20 Tools, 6 Resources, 6 APIs.

✨ Features

CKAN Open Data (data.stadt-zuerich.ch)

• zurich_search_datasets – Full-text search with Solr syntax across 900+ datasets
• zurich_get_dataset – Complete metadata and download URLs for a dataset
• zurich_datastore_query – Query tabular data directly (filters, sorting)
• zurich_datastore_sql – SQL queries on the DataStore
• zurich_list_categories – Browse 19 thematic categories
• zurich_list_tags – Tag-based thematic search

Real-Time Environmental Data

• zurich_weather_live – 🌤️ Current weather (temperature, humidity, pressure, rain) from 5 UGZ stations
• zurich_air_quality – 🌬️ Live air quality (NO₂, O₃, PM10, PM2.5) with WHO thresholds
• zurich_water_weather – 🌊 Lake Zurich data (water temperature, level, wind) every 10 min

Real-Time Mobility Data

• zurich_pedestrian_traffic – 🚶 Pedestrian counts on Bahnhofstrasse (3 locations, hourly)
• zurich_vbz_passengers – 🚊 VBZ public transit ridership (800,000+ records, all lines/stops)
• zurich_parking_live – 🅿️ Real-time occupancy of 36 parking garages (ParkenDD)

Geoportal (WFS Geodata)

• zurich_geo_layers – 📍 List 14 available geodata layers
• zurich_geo_features – 📍 Fetch GeoJSON features (schools, districts, playgrounds, climate data, etc.)

City Parliament (Paris API)

• zurich_parliament_search – 🏛️ Search parliamentary proceedings (interpellations, motions, postulates)
• zurich_parliament_members – 🏛️ Search council members (party, commissions, mandates)

Zurich Tourism

• zurich_tourism – 🏨 Attractions, restaurants, hotels, events (Schema.org data, 4 languages)

Linked Data (SPARQL)

• zurich_sparql – 📊 SPARQL queries on the statistical linked data endpoint

Analysis Tools

• zurich_analyze_datasets – Comprehensive analysis: relevance, recency, data structure
• zurich_catalog_stats – Catalog overview with statistics
• zurich_find_school_data – Curated search for education-related datasets

MCP Resources

• zurich://dataset/{name} – Dataset metadata
• zurich://category/{group_id} – Category details
• zurich://parking – Current parking data
• zurich://geo/{layer_id} – GeoJSON geodata (14 layers)
• zurich://tourism/categories – Tourism categories

🚀 Installation

Prerequisites

• Python 3.11+
• pip or uv

Install

# Clone
git clone https://github.com/malkreide/zurich-opendata-mcp.git
cd zurich-opendata-mcp

# Install
pip install -e .

# Or with uv
uv pip install -e .

⚙️ Configuration

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "zurich-opendata": {
      "command": "python",
      "args": ["-m", "zurich_opendata_mcp.server"],
      "env": {}
    }
  }
}

Alternatively, using the installed command:

{
  "mcpServers": {
    "zurich-opendata": {
      "command": "zurich-opendata-mcp"
    }
  }
}

Claude Code (CLI)

claude mcp add zurich-opendata -- python -m zurich_opendata_mcp.server

Cursor / VS Code

Add to .vscode/settings.json:

{
  "mcpServers": {
    "zurich-opendata": {
      "command": "python",
      "args": ["-m", "zurich_opendata_mcp.server"]
    }
  }
}

💬 Example Queries

Once configured, you can ask Claude:

Open Data

• "What datasets are available about schools in Zurich?"
• "Show me school holidays for public schools"
• *"Analyze

... View full README on GitHub