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Zurich Opendata Mcp

malkreide/zurich-opendata-mcp
7STDIOregistry active
Summary

Hooks Claude directly into Zurich's open data infrastructure across six different APIs. You get 24 tools covering everything from real-time parking occupancy and air quality readings to parliamentary proceedings and 900+ CKAN datasets. The geoportal integration exposes 14 WFS layers as GeoJSON, the Paris API surfaces city council members and motions, and the DataStore tools let you run SQL queries on tabular data without downloading files. No authentication required. Useful when you need Swiss municipal data for location-aware applications, civic tech projects, or environmental monitoring dashboards. The tourism endpoint returns Schema.org structured data in four languages, and the pedestrian traffic tool pulls hourly counts from Bahnhofstrasse sensors.

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🇨🇭 Part of the Swiss Public Data MCP Portfolio

🏙️ Zurich Open Data MCP Server

PyPI License: MIT Python 3.11+ MCP No Auth Required CI

🌐 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, council resolutions, tourism data, linked data, and real-time environmental and mobility information from the City of Zurich. 23 Tools (+3 deprecated aliases), 5 Resources, 6 APIs.

Demo

Demo: Claude using zurich_parking_live and zurich_air_quality

✨ 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 4 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 (endpoint not productive yet — the tool is not registered by default; opt in with the environment variable ZURICH_OPENDATA_ENABLE_SPARQL=1)

Stadtratsbeschlüsse (Council Resolutions)

  • zurich_strb_search – 📜 Full-text search of public council resolutions (title, department, date range)
  • zurich_strb_by_department – 📜 List all resolutions of a department (e.g. SSD, FD, PRD)
  • zurich_strb_detail – 📜 Single resolution by NNNN/YYYY number

(The former names search_stadtratsbeschluesse, get_beschluesse_by_departement and get_stadtratsbeschluss_detail remain available as deprecated aliases until the next major release.)

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 the available geodata"

Real-Time Data

  • "What's the current temperature in Zurich?" → zurich_weather_live
  • "How is the air quality today?" → zurich_air_quality
  • "What's the water temperature in Lake Zurich?" → zurich_water_weather
  • "How many parking spaces are free right now?" → zurich_parking_live
  • "How many people are on Bahnhofstrasse right now?" → zurich_pedestrian_traffic

Geodata

  • "Show me all school facilities in Zurich as GeoJSON" → zurich_geo_features
  • "What geodata layers are available?" → zurich_geo_layers
  • "Where are the playgrounds in Zurich?"

City Parliament

  • "What parliamentary motions about schools were filed?" → zurich_parliament_search
  • "Which council members belong to the SP party?" → zurich_parliament_members

Council Resolutions (Stadtratsbeschlüsse)

  • "Find council resolutions about Volksschule from 2025" → zurich_strb_search
  • "List all SSD resolutions in 2025" → zurich_strb_by_department
  • "Show council resolution 1203/2025" → zurich_strb_detail

Tourism

  • "What restaurants does Zurich Tourism recommend?" → zurich_tourism

🔗 Data Sources

APIEndpointData
CKANdata.stadt-zuerich.ch/api/3/900+ open datasets
Geoportal WFSogd.stadt-zuerich.ch/wfs/geoportal14 geodata layers (GeoJSON)
Paris APIgemeinderat-zuerich.ch/apiParliamentary proceedings & members
Zurich Tourismzuerich.com/en/api/v2/dataAttractions, restaurants, hotels
SPARQLld.stadt-zuerich.ch/queryLinked Open Data / statistics
ParkenDDapi.parkendd.de/ZuerichReal-time parking occupancy

📊 Available Data Categories

CategoryID
Employmentarbeit-und-erwerb
Base Mapsbasiskarten
Construction & Housingbauen-und-wohnen
Populationbevolkerung
Educationbildung
Energyenergie
Financefinanzen
Leisurefreizeit
Healthgesundheit
Crimekriminalitat
Culturekultur
Mobilitymobilitat
Politicspolitik
Pricespreise
Social Affairssoziales
Tourismtourismus
Environmentumwelt
Administrationverwaltung
Economyvolkswirtschaft

📍 Available Geo Layers

Source of truth: GEOPORTAL_LAYERS in src/zurich_opendata_mcp/config.py.

Layer IDDescription
schulanlagenSchool facilities (kindergartens, schools, after-school care)
schulkreiseSchool district boundaries (polygons)
schulwegeSchool-route crossings and hazard points
stadtkreiseCity district boundaries (polygons)
spielplaetzePublic playgrounds
kreisbueroCity district offices
sammelstelleWaste collection points
sportSports facilities
klimadatenClimate data (raster, temperatures, heat islands)
lehrpfadeEducational trails
stimmlokalePolling stations
sozialzentrumSocial centres
velopruefstreckenBicycle exam routes for schools
familienberatungFamily-counselling meeting points

🏗️ Project Structure

zurich-opendata-mcp/
├── src/zurich_opendata_mcp/
│   ├── __init__.py
│   ├── app.py               # Shared FastMCP instance
│   ├── server.py            # Console entry + back-compat re-exports
│   ├── config.py            # Endpoints, layer maps, resource IDs
│   ├── http_client.py       # Shared httpx client + CKAN wrapper
│   ├── formatters.py        # CKAN→model mapping + Markdown rendering
│   ├── models.py            # Pydantic structured-output models
│   ├── clients/             # API clients: paris, sparql, tourism, wfs
│   └── tools/               # @mcp.tool implementations:
│                            #   catalog, datastore, geo, parliament,
│                            #   realtime, sparql, strb, tourism,
│                            #   resources (zurich:// URIs)
├── tests/                   # respx round-trip, unit and live-marked tests
├── audits/                  # Code-audit reports
├── .github/workflows/       # ci.yml + publish.yml (Trusted Publisher)
├── pyproject.toml
├── README.md / README.de.md
├── CONTRIBUTING.md / .de.md
├── SECURITY.md / .de.md
├── CHANGELOG.md
├── CLAUDE.md                # Project conventions for Claude
├── LICENSE
└── claude_desktop_config.json

🧪 Development

# Install dev dependencies
pip install -e ".[dev]"

# Unit + validation tests (no network)
pytest tests/ -m "not live"

# Live integration tests (against live APIs — opt-in)
pytest tests/ -m live

# Linting
ruff check src/ tests/

Safety & Limits

  • Read-only: All tools perform HTTP GET requests only — no data is written, modified, or deleted.
  • No personal data: The APIs return open civic datasets (parking occupancy, weather readings, parliamentary proceedings). No personally identifiable information (PII) is processed or stored by this server.
  • Rate limits: CKAN Solr search and ParkenDD are public APIs without documented rate limits; use rows and limit parameters conservatively. The server enforces a 30s timeout per request; transient upstream errors (connect failures, HTTP 502/503/504) are retried once with a short backoff.
  • Data freshness: Real-time tools (parking, weather, air quality) reflect the upstream source at query time. Measurement data is never cached; only the lookup of the current per-year UGZ resource ID (weather/air quality) is cached in-process for 24h.
  • Terms of service: Data is subject to the ToS of each source — data.stadt-zuerich.ch, ParkenDD, gemeinderat-zuerich.ch. All City of Zurich data is published under CC0 (Open by Default since 2021).
  • No guarantees: This server is a community project, not affiliated with the City of Zurich or any of the API providers. Availability depends on upstream APIs.

🤝 Contributing

Contributions are welcome — see CONTRIBUTING.md (Deutsch).

🔒 Security

Read-only, no PII, no authentication, a fixed set of public-data endpoints. See SECURITY.md (Deutsch) for the full security posture and accepted-risk decisions.

📜 License

MIT License — see LICENSE. All data used is published under open licenses (CC0 / Open by Default since 2021).

👤 Author

Hayal Oezkan · malkreide


Powered by Model Context Protocol • 6 APIs • 23 Tools • 5 Resources

Installation

Run via uv's uvx — no clone or manual install needed. Add to your MCP client config (mcpServers for Claude Desktop, Cursor and Windsurf; use a top-level servers key for VS Code in .vscode/mcp.json):

{
  "mcpServers": {
    "zurich-opendata-mcp": {
      "command": "uvx",
      "args": [
        "zurich-opendata-mcp"
      ]
    }
  }
}
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Registryactive
Packagezurich-opendata-mcp
TransportSTDIO
UpdatedJun 7, 2026
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