swiss-housing-mcp
Enables AI agents to query the Swiss Federal Register of Buildings and Dwellings (GWR/RegBL) — including building lookups, address geocoding, construction statistics, and housing pipeline analysis — through MCP tools.
README
swiss-housing-mcp
Part of the Swiss Public Data MCP Portfolio — open-source MCP servers connecting AI agents to Swiss public data. Private project, independent of any employer or institutional affiliation.
MCP server for the Swiss Federal Register of Buildings and Dwellings (GWR/RegBL) — buildings, dwellings, and the construction pipeline
🎯 Anchor Demo Query
«How many dwellings were newly built in the City of Zurich since 2020, how many with 4+ rooms — and how many are currently under construction?»
Verified against the live dump on 2026-07-24: 16'164 new dwellings since 2020 (27.4% with 4+ rooms — the family-housing proxy), and 7'287 dwellings currently under construction. Dwellings under construction today are households in 1–3 years: the early indicator for school-space planning.
Overview
The GWR/RegBL is to buildings what Zefix is to companies: not one data source among many, but the federal register whose identifiers (EGID for buildings, EWID for dwellings) serve as join keys across Swiss administrative data. This server exposes the register's public extract through MCP tools — building lookups, address geocoding, per-municipality construction statistics, sub-municipal bounding-box analysis, and the planning/construction pipeline.
address_to_egid is the plug that makes other data sources EGID-capable: address in, federal identifier and LV95 coordinates out.
Architecture decision
This server uses Architecture B (Hybrid: Dump-first, API-fallback).
Rationale (verified live on 2026-07-24):
- The public cantonal dump (
public.madd.bfs.admin.ch/{canton}.zip) is refreshed daily (~05:30 CET) and ships a ready-madedata.sqlitewith tablesbuilding(399'830 rows for ZH),entrance,dwelling(894'631 rows for ZH), andcode. No CSV parsing, no auth. api3.geo.admin.ch(find / identify / SearchServer) works reliably without authentication for single-entity lookups and geocoding, but does not scale to area-wide aggregations (result limits).- A MADD REST endpoint probed at
/api/buildings/{egid}returned 404; it is excluded until path and auth status are clarified — no blocker, since all Phase-1 tools work without it.
Consequences:
- Cantonal dumps are cached on disk with a 24 h TTL (configurable via
SWISS_HOUSING_DUMP_TTL_HOURS). - Aggregations and spatial queries run as read-only SQL against the cached SQLite; single lookups and geocoding hit the live API.
- Every response carries
source(attribution) andprovenance(daily_dump|live_api|cached).
Live probe findings (2026-07-24)
| Endpoint | HTTP | Status | Note |
|---|---|---|---|
api3.geo.admin.ch …/find (EGID lookup) |
200 | ✅ works | full attribute set, no auth |
api3.geo.admin.ch …/identify (coordinates) |
200 | ✅ works | 77 attributes incl. EGID/EWID |
…/SearchServer (address → EGID) |
200 | ✅ works | featureId = {EGID}_{EDID}; axis swap: y=east, x=north |
public.madd.bfs.admin.ch/zh.zip |
200 | ✅ works | 121 MB, daily refresh, contains data.sqlite |
madd.bfs.admin.ch/api/buildings/{egid} |
404 | ❌ excluded | path/auth unclear |
| Invalid EGID on find | 200 | ⚠️ soft error | empty results array — not an HTTP error |
Features
lookup_building(egid)— single building by federal identifier (live API)address_to_egid(address)— geocode any Swiss address to EGID/EDID + LV95lookup_dwellings(egid)— all dwellings of a building with rooms, area, floornew_construction(municipality_bfs, since_year)— yearly new construction incl. 4+ room family-housing shareconstruction_pipeline(municipality_bfs)— projected / approved / under constructionbuildings_in_bbox(e_min, n_min, e_max, n_max)— sub-municipal analysis (e.g. school districts)municipality_housing_stats(municipality_bfs)— housing stock and room-size mixexplain_code(attribute, code)— decode GWR codes via the official DE/FR/IT code tabledump_status()— cache freshness, graceful-degradation entry point
Prerequisites
- Python 3.10+
- ~130 MB disk per cached cantonal dump (ZH)
- No API keys — Phase 1 is authentication-free
Installation
uvx swiss-housing-mcp # once published on PyPI
# or from source
pip install -e .
Usage / Quickstart
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"swiss-housing": {
"command": "uvx",
"args": ["swiss-housing-mcp"]
}
}
}
Cloud (Render/Railway):
SWISS_HOUSING_TRANSPORT=streamable-http PORT=8000 swiss-housing-mcp
Configuration
| Variable | Default | Purpose |
|---|---|---|
SWISS_HOUSING_TRANSPORT |
stdio |
stdio | streamable-http | sse |
SWISS_HOUSING_CACHE |
~/.cache/swiss-housing-mcp |
Dump cache directory |
SWISS_HOUSING_DUMP_TTL_HOURS |
24 |
Dump freshness window |
Testing
PYTHONPATH=src pytest tests/ -m "not live" # CI-safe
PYTHONPATH=src pytest tests/ -m live # against real upstream
Project Structure
swiss-housing-mcp/
├── src/swiss_housing_mcp/
│ ├── server.py # FastMCP tools (9)
│ ├── gwr.py # Dump store + geo.admin.ch client + retry
│ ├── models.py # Pydantic v2 envelopes (source + provenance)
│ └── __main__.py # Dual-transport entry point
├── tests/ # respx-mocked + @pytest.mark.live
└── .github/workflows/ # CI + OIDC PyPI publish
Known Limitations
- The public extract omits person-related and some sensitive attributes of the full GWR; official data deliveries to authorities go through the BFS/MADD channel.
- Coordinates are building reference points (LV95), not footprint polygons — polygon joins (e.g. exact school-district boundaries) need external geometries;
buildings_in_bboxcovers the rectangular approximation. GBAUJ(construction year) is missing for a share of older buildings; period codes (GBAUP) exist as fallback but are not yet exposed.- Municipality→canton resolution is seeded for common cases; pass
cantonexplicitly for others. - Housing-market indices (IMPI, construction price index, vacancy rate) deliberately live in
swiss-statistics-mcp— this server is the register layer, not the statistics layer.
Changelog
See CHANGELOG.md
License
MIT License — see LICENSE. Data: GWR/RegBL, Swiss Federal Statistical Office (BFS), open government data with attribution.
Credits & Related Projects
- Data: Federal Statistical Office — GWR/RegBL, geo.admin.ch
- Portfolio siblings:
swiss-statistics-mcp(indices, STAT-TAB),zurich-opendata-mcp(city-level data)
Author
malkreide · GitHub
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