MCP Server für Open Data der Stadt Zürich – 20 Tools für CKAN, Geodaten, Gemeinderat, Tourismus, SPARQL und Echtzeitdaten (Wetter, Luft, See, Parking, ÖV). 6 APIs, 6 Resources.
{
"mcpServers": {
"zurich-opendata": {
"env": {},
"args": [
"-m",
"zurich_opendata_mcp.server"
],
"command": "python"
}
}
}Are you the author?
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MCP Server für Open Data der Stadt Zürich – 20 Tools für CKAN, Geodaten, Gemeinderat, Tourismus, SPARQL und Echtzeitdaten (Wetter, Luft, See, Parking, ÖV). 6 APIs, 6 Resources.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 8 days ago. 6 stars.
Will it work with my client?
Transport: stdio, sse. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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🌐 English | Deutsch
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.
zurich_search_datasets – Full-text search with Solr syntax across 900+ datasetszurich_get_dataset – Complete metadata and download URLs for a datasetzurich_datastore_query – Query tabular data directly (filters, sorting)zurich_datastore_sql – SQL queries on the DataStorezurich_list_categories – Browse 19 thematic categorieszurich_list_tags – Tag-based thematic searchzurich_weather_live – 🌤️ Current weather (temperature, humidity, pressure, rain) from 5 UGZ stationszurich_air_quality – 🌬️ Live air quality (NO₂, O₃, PM10, PM2.5) with WHO thresholdszurich_water_weather – 🌊 Lake Zurich data (water temperature, level, wind) every 10 minzurich_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)zurich_geo_layers – 📍 List 14 available geodata layerszurich_geo_features – 📍 Fetch GeoJSON features (schools, districts, playgrounds, climate data, etc.)zurich_parliament_search – 🏛️ Search parliamentary proceedings (interpellations, motions, postulates)zurich_parliament_members – 🏛️ Search council members (party, commissions, mandates)zurich_tourism – 🏨 Attractions, restaurants, hotels, events (Schema.org data, 4 languages)zurich_sparql – 📊 SPARQL queries on the statistical linked data endpointzurich_analyze_datasets – Comprehensive analysis: relevance, recency, data structurezurich_catalog_stats – Catalog overview with statisticszurich_find_school_data – Curated search for education-related datasetszurich://dataset/{name} – Dataset metadatazurich://category/{group_id} – Category detailszurich://parking – Current parking datazurich://geo/{layer_id} – GeoJSON geodata (14 layers)zurich://tourism/categories – Tourism categories# 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 .
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 mcp add zurich-opendata -- python -m zurich_opendata_mcp.server
Add to .vscode/settings.json:
{
"mcpServers": {
"zurich-opendata": {
"command": "python",
"args": ["-m", "zurich_opendata_mcp.server"]
}
}
}
Once configured, you can ask Claude: