swiss-statistics-mcp

> 🇨🇭 **Part of the [Swiss Public Data MCP Portfolio](https://github.com/malkreide)** # 📊 swiss-statistics-mcp  [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](https://github.com/malkreide/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](README.de.md) --- ### Demo  --- ## Maturity This server is **Alpha (0.x)** as per the [PyPI classifier](https://pypi.org/classifiers/). 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](./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: | Property | Details | |----------|---------| | **API** | STAT-TAB PxWeb API v1 | | **Endpoint** | `https://www.pxweb.bfs.admin.ch/api/v1/` | | **Provider** | Swiss Federal Statistical Office (BFS) | | **Datasets** | 682 tables across 21 thematic areas | | **Languages** | German (`de`), French (`fr`), Italian (`it`), English (`en`) | | **Licence** | Open Government Data (OGD) — [BFS Terms of Use](https://www.bfs.admin.ch/bfs/en/home/grundlagen/nutzungsbedingungen.html) | | **Authentication** | None — fully public | **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](https://github.com/astral-sh/uv) (recommended) or pip --- ## Installation ```bash # 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): ```bash uvx swiss-statistics-mcp ``` --- ## Quickstart ```bash # 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: > *"How many teachers worked in the canton of Zurich in 2023?"* > *"What is the population of canton Bern broken down by age?"* > *"Compare the social assistance rate across all cantons for 2022."* --- ## Configuration ### Claude Desktop Edit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "swiss-statistics": { "command": "python", "args": ["-m", "swiss_statistics_mcp.server"] } } } ``` Or with `uvx`: ```json { "mcpServers": { "swiss-statistics": { "command": "uvx", "args": ["swiss-statistics-mcp"] } } } ``` **Config file locations:** - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` - Windows: `%APPDATA%\Claude\claude_desktop_config.json` ### Cursor / Windsurf / VS Code + Continue The configuration syntax is identical to Claude Desktop. The file name depends on the client: - **Cursor:** `.cursor/mcp.json` in the project folder, or `~/.cursor/mcp.json` globally - **Windsurf:** `~/.codeium/windsurf/mcp_config.json` - **VS Code + Continue:** `.continue/config.json` ### Cloud Deployment (SSE for browser access) For use via **claude.ai in the browser** (e.g. on managed workstations without local software). > ⚠️ **Security note — this server has no authentication.** A public URL > turns it into an open proxy to the BFS API on your deployment's IP. Any > client with the URL can drive the tools, consume your platform quota, and > attribute traffic to your IP. Two mitigations, in order of preference: > > 1. **Put it behind access control** — Render's «Private Service», Cloudflare > Access, or a reverse proxy with Basic-Auth / IP allowlist in front of the > container. > 2. **Accept it as a public open-data proxy** — only acceptable because all > data is BFS OGD (Public Open Data) and tools are read-only. > > The server binds to `127.0.0.1` by default. To expose it on a container > port you must explicitly set `MCP_HOST=0.0.0.0` (e.g. as a Render env var) > or pass `--host 0.0.0.0`. Do not do this without one of the mitigations above. **Render.com:** 1. Push/fork the repository to GitHub 2. On [render.com](https://render.com): New Web Service → connect GitHub repo 3. Set environment variable: `MCP_HOST=0.0.0.0` 4. Set start command: `python -m swiss_statistics_mcp.server --http --port 8000` 5. In claude.ai under Settings → MCP Servers, add: `https://your-app.onrender.com/sse` > 💡 *"stdio for the developer laptop, SSE for the browser."* --- ## Output Schema Since `v0.2.0`, every tool returns a typed Pydantic model rather than a JSON string. FastMCP serializes these as structured content so MCP clients can read fields directly. ```python # Old (pre-0.2.0) result = await bfs_get_data(...) # str data = json.loads(result) # dict print(data["rows_total"]) # New (>= 0.2.0) result = await bfs_get_data(...) # DataTableResult print(result.rows_total) # 1000 print(result.truncated) # True ``` Every result carries `error: str | None` and `hint: str | None` at the top level — `result.error is None` means success. Data-returning tools (`bfs_get_data`, `bfs_education_stats`, `bfs_population`, `bfs_compare_cantons`) additionally expose `truncated: bool`, `rows_total: int`, and `rows_returned: int` for machine-readable cap detection. | Tool | Result type | |------|-------------| | `bfs_browse_catalog` | `BrowseCatalogResult` | | `bfs_search_tables` | `SearchTablesResult` | | `bfs_get_table_metadata` | `TableMetadataResult` | | `bfs_get_data` | `DataTableResult` | | `bfs_education_stats` | `DataTableResult` | | `bfs_population` | `DataTableResult` | | `bfs_compare_cantons` | `DataTableResult` | | `bfs_featured_datasets` | `FeaturedDatasetsResult` | | `lookup_commune` | `LookupCommuneResult` | | `resolve_historical_commune` | `ResolveHistoricalCommuneResult` | | `list_communes` | `ListCommunesResult` | | `search_historical_series` | `SearchHistoricalSeriesResult` | | `bfs_construction_activity` | `ConstructionActivityResult` | | `bfs_construction_investment` | `ConstructionInvestmentResult` | | `bfs_price_index` | `PriceIndexResult` | Reference-layer results additionally carry `source` (attribution) and `provenance` (`live_api` \| `cached`); `SearchHistoricalSeriesResult` also carries `licence_note` with the mandatory HSSO NonCommercial notice. The construction and price-index results carry `source` + `provenance` on the same envelope pattern. --- ## Available Tools | Tool | Description | |------|-------------| | `bfs_featured_datasets` | Curated list of highly relevant datasets (focus on education and demographics) | | `bfs_browse_catalog` | Browse the catalogue: all 21 themes (no `theme_code`), or all tables in a theme (e.g. `theme_code="15"` = Education and Science) | | `bfs_search_tables` | Full-text search across the entire data catalogue (682 datasets) | | `bfs_get_table_metadata` | Variables, values and metadata for a specific table | | `bfs_get_data` | Data retrieval with optional filters by dimensions and values | | `bfs_education_stats` | Convenience tool: teachers, pupils, demographic scenarios, scholarships | | `bfs_population` | Resident population by canton, year, age structure or sex | | `bfs_compare_cantons` | Cross-cantonal comparison for any table and any variable | | `lookup_commune` | Resolve a commune by name or BFS number as of a given date (canton, validity, LINDAS URI) | | `resolve_historical_commune` | Map a historical BFS number onto today's number(s) — re-key old statistics across fusions | | `list_communes` | List all communes of a canton as of a given date | | `search_historical_series` | Search long-run time series in Historical Statistics of Switzerland (HSSO) | | `bfs_construction_activity` | New buildings & dwellings per commune (yearly), incl. dwelling room-size mix | | `bfs_construction_investment` | Building investment & Arbeitsvorrat (leading indicator) by region/canton/commune | | `bfs_price_index` | Construction price index (Baupreisindex, parsed series) / residential property price index (IMPI, source links) | Four of these tools form the **reference layer** of the portfolio (see [Join Keys](#join-keys)): they turn official BFS commune numbers into a reliable join key and let you re-key statistics that predate a municipal merger. The two `bfs_construction_*` tools cover STAT-TAB theme 09 (Bau- und Wohnungswesen) — see [Construction sources](#construction-sources). `bfs_price_index` covers price indices that are **not** in STAT-TAB — see [Price-index sources](#price-index-sources). ### Construction sources | Cube ID | Title | Coverage | Used by | |---------|-------|----------|---------| | `px-x-0904030000_106` | Neu erstellte Gebäude mit Wohnungen nach Gemeinde, Gebäudetyp | 2013– | `bfs_construction_activity` | | `px-x-0904030000_105` | Neu erstellte Wohnungen nach Gemeinde, Anzahl Zimmer | 2013– | `bfs_construction_activity` | | `px-x-0904010000_205` | Bauinvestitionen und Arbeitsvorrat nach Grossregion/Kanton/Gemeinde | 1994– | `bfs_construction_investment` | > The pre-2013 Gemeinde-level building series lives in the discontinued cubes `px-x-0904030000_101`/`_104` (1995–2012), which use a different geo coding and are not queried by these tools. Building/dwelling figures are the **consolidated official yearly** statistics — for up-to-date register states and the construction pipeline, cross-validate against `swiss-housing-mcp` (deliberate redundancy). ### Price-index sources `bfs_price_index` covers two indices that are **not** published via STAT-TAB. Their datasets live on [opendata.swiss](https://opendata.swiss) (CKAN); the data files themselves are [BFS DAM assets](https://dam-api.bfs.admin.ch). | Index | Source | Returns | |-------|--------|---------| | `baupreisindex` | opendata.swiss dataset *Schweizerischer Baupreisindex (Multibasen)* → DAM **XLSX** asset | Parsed national semi-annual index series (Schweiz, Baugewerbe Total), with the base period | | `impi` | opendata.swiss dataset *Schweizerischer Wohnimmobilienpreisindex (IMPI)* → DAM **PDF/HTML** assets | Official source links only — BFS does not publish a machine-readable IMPI series | > Two quirks are handled for you: `ckan.opendata.swiss` returns **HTTP 403** to default User-Agents, so every call sends a custom `swiss-statistics-mcp/<version>` User-Agent; and DAM assets **mix formats**, so the XLSX is selected by verifying the response `content-type` (PDFs are skipped). Results are cached for 24 h. ### Example Use Cases | Query | Tool | |-------|------| | *"How many teachers worked in Zurich in 2023?"* | `bfs_education_stats` | | *"How will upper secondary enrolment develop until 2031?"* | `bfs_education_stats` | | *"What is the population of canton Zurich by age?"* | `bfs_population` | | *"Compare the social assistance rate across all cantons"* | `bfs_compare_cantons` | | *"Is there data on school buildings?"* | `bfs_search_tables` | | *"Which Zurich communes have merged since 2000, and onto which of today's BFS numbers must I re-key old statistics?"* | `resolve_historical_commune` | | *"List all communes of canton Glarus today"* | `list_communes` | | *"Find long-run series on population in HSSO"* | `search_historical_series` | | *"How many new dwellings were built in Winterthur since 2018, by room size?"* | `bfs_construction_activity` | | *"What is the building investment and Arbeitsvorrat for canton Zurich?"* | `bfs_construction_investment` | | *"How has the construction price index moved since 2015?"* | `bfs_price_index` | [→ More use cases by audience →](EXAMPLES.md) --- ## Themes | Code | Theme | Code | Theme | |------|-------|------|-------| | 01 | Population | 12 | Money, banks, insurance | | 02 | Territory and environment | 13 | Social security | | 03 | Work and income | 14 | Health | | 04 | National economy | **15** | **Education and science** | | 05 | Prices | 16 | Culture, media, information society | | 06 | Industry and services | 17 | Politics | | 07 | Agriculture and forestry | 18 | General government | | 08 | Energy | 19 | Crime and criminal justice | | 09 | Construction and housing | 20 | Economic and social situation | | 10 | Tourism | 21 | Sustainable development | | 11 | Mobility and transport | | | --- ## Architecture ``` ┌─────────────────┐ ┌──────────────────────────────┐ ┌──────────────────────────┐ │ Claude / AI │────▶│ Swiss Statistics MCP │────▶│ BFS STAT-TAB │ │ (MCP Host) │◀────│ (MCP Server) │◀────│ PxWeb API v1 │ └─────────────────┘ │ │ └──────────────────────────┘ │ 15 Tools │ │ + commune/historical ref │ │ + construction (theme 09) │ │ + price indices (DAM/CKAN) │ │ Stdio | Streamable HTTP │ │ │ │ No authentication required │ └──────────────────────────────┘ ``` ### Data Source Characteristics | Source | Protocol | Coverage | Auth | Licence | |--------|----------|----------|------|---------| | BFS STAT-TAB | PxWeb REST API | 682 tables, 21 themes | None | OGD | | BFS AGVCH (commune register) | REST (CSV/XLSX) | Snapshots, mutations, correspondances | None | OGD | | HSSO (historical statistics) | Static XLSX dumps | ~750 long-run tables | None | CC BY-NC-SA 3.0 | | BFS DAM + opendata.swiss (CKAN) | CKAN metadata + DAM XLSX/PDF | Baupreisindex, IMPI | None (custom UA required) | OGD | ### Architecture decision - **AGVCH commune register → Architecture A (live-API-only).** The [official REST service](https://www.agvchapp.bfs.admin.ch/de/home) (`snapshot` / `correspondances` / `mutations` / `levels`) is a clean, versioned, no-auth API — verified live on 2026-07-19 — so the commune tools query it directly with a 24 h in-memory cache and the shared retry policy. No dump fallback is needed. **Finding:** the live snapshot CSV header uses `Inscription,Radiation,Rec_Type_fr` (not the `Einschreibung,Streichung` names printed in the API PDF), and `HistoricalCode` is **not** globally unique across levels — the `Parent` link is disambiguated by tier when deriving a commune's canton. - **HSSO → Architecture C (dump-only).** HSSO offers no API, only static per-table XLSX at stable URLs (`/get/{CHAPTER}.{NN}{suffix}.xlsx`). `search_historical_series` builds a cached title index from the chapter pages and returns the stable download URL. HSSO is licensed **CC BY-NC-SA 3.0 (NonCommercial)** — different from this server's OGD baseline — so every HSSO response carries an explicit NonCommercial notice in `licence_note`. --- ## Join Keys The reference layer exists so that data from different servers in the [Swiss Public Data MCP Portfolio](https://github.com/malkreide) can be joined reliably. Three identifiers are the portfolio-wide keys: | Key | What it identifies | Canonical form | Notes | |-----|--------------------|----------------|-------| | **BFS commune number** (`BfsCode`) | A political commune | integer, e.g. `261` (Zürich) | The primary join key across statistics, geo, education and health data. Stable LINDAS/Linked-Data URI: `https://ld.admin.ch/municipality/{BfsCode}`. **Not stable over time** — a merger issues a new number, so historical data must be re-keyed via `resolve_historical_commune`. | | **EGID** | A single building (Eidg. Gebäudeidentifikator) | 9-digit integer | The join key for building/dwelling-level data (GWR, energy, addresses). A commune contains many EGIDs; `BfsCode` is the commune each EGID sits in. | | **Canton abbreviation** | A canton | two letters, e.g. `ZH` | The coarsest geographic key. Derivable from any commune via its `Parent` chain (exposed as `canton_abbr`). | **Why re-keying matters.** BFS commune numbers change whenever communes merge, split, or move canton. Statistics published before a merger use the old number; joining them to today's data without re-keying silently drops or misattributes rows. `resolve_historical_commune(bfs_number, from_date, to_date)` returns the `resolves_to` set — the current number(s) old figures must be aggregated onto — plus the `mutation_path` (the fusions/renamings, with dates). Other portfolio servers are meant to mirror this contract conceptually so the same key resolves the same way everywhere. **Example (anchor query).** *"Which Zurich communes have merged since 2000?"* — e.g. old `132 Hirzel` and `133 Horgen` both re-key onto today's `295 Horgen`; `134/140/142` onto `293 Wädenswil`. --- ## Project Structure ``` swiss-statistics-mcp/ ├── src/swiss_statistics_mcp/ │ ├── __init__.py # Package │ └── server.py # 15 tools ├── tests/ │ └── test_server.py # Unit + integration tests (mocked HTTP) ├── .github/workflows/ci.yml # GitHub Actions (Python 3.11/3.12/3.13) ├── pyproject.toml ├── CHANGELOG.md ├── CONTRIBUTING.md # English ├── CONTRIBUTING.de.md # German version ├── SECURITY.md # English ├── SECURITY.de.md # German version ├── LICENSE ├── README.md # This file (English) └── README.de.md # German version ``` --- ## Observability The server emits one **JSON log line per tool call** on stderr: ```jsonc {"ts": "2026-05-20T04:02:28", "level": "INFO", "logger": "swiss_statistics_mcp", "event": "tool_start", "tool": "bfs_browse_catalog", "rid": "1091cb73", "params_keys": ["theme_code", "lang", "limit"]} {"ts": "2026-05-20T04:02:28", "level": "INFO", "logger": "swiss_statistics_mcp", "event": "tool_end", "tool": "bfs_browse_catalog", "rid": "1091cb73", "status": "ok", "duration_ms": 303} ``` - `rid` — 8-char correlation id linking `tool_start` and `tool_end` for the same call - `params_keys` — sorted list of input field names (no values, no PII) - `duration_ms` — per-call latency on the `tool_end` event - `status` — `"ok"` or `"error"`; `error_type` is added when a tool raises Render and other cloud platforms can index these directly for per-tool latency dashboards and error-rate alerts. Set `MCP_LOG_LEVEL=DEBUG` for verbose output or `WARNING` to suppress per-call events. > ℹ️ Logs go to **stderr** so they never collide with the MCP protocol on > stdio transport (which uses stdout). --- ## Resilience The server absorbs transient BFS-API hiccups before they reach the LLM: - **Retries** — `5xx`, `429`, and network errors are retried up to 3 times with exponential backoff (0.5s → 4s). `4xx` errors surface immediately so client bugs aren't masked. Tunable via `MCP_RETRY_MAX_ATTEMPTS`, `MCP_RETRY_WAIT_INITIAL`, `MCP_RETRY_WAIT_MAX` env vars. - **Metadata cache** — Table metadata (variables, value domains, last_updated) is cached in-memory per `(table_id, lang)` for 1h. Cold list/detail flows warm the cache; subsequent calls return instantly. - **Concurrency cap** — Fan-out metadata fetches in `bfs_browse_catalog` (theme mode) run in parallel bounded by `FANOUT_CONCURRENCY = 5`. For `limit=20` this cuts wall-clock from ~20s sequential to ~4s, without overwhelming the upstream API. --- ## Known Limitations - **PxWeb API:** Rate limiting may apply for rapid successive queries; the server uses a 1-hour cache for the catalogue index and a 1-hour cache for table metadata - **Language:** Dataset titles and dimension values are in German by default; French, Italian and English coverage varies by table - **JSON-STAT2:** Some complex cross-tabulations may return large result sets; use dimension filters to narrow queries - **Commune register (AGVCH):** Live snapshot CSV headers use `Inscription/Radiation/Rec_Type_fr` (not the `Einschreibung/Streichung` names in the API PDF); `HistoricalCode` is not globally unique across levels, so the canton is derived by walking the `Parent` chain one tier at a time. Snapshots/mutations are cached for 24 h. - **HSSO:** Licensed **CC BY-NC-SA 3.0 (NonCommercial)** — attribution required, no commercial use; every response carries this in `licence_note`. HSSO exposes no per-table period filter, so `search_historical_series`'s `period` argument is an informational hint only — verify the actual span in the XLSX. `search_historical_series` returns the stable XLSX download URL, not the parsed series values. - **PxWeb commune codes are not consistent across cubes.** In `px-x-0904030000_106`/`_107` the value code IS the zero-padded BFS number (`0261`); in `px-x-0904030000_105` it is an opaque sequential id (`160`) and the BFS number appears only in the label (`......0261 Zürich`). `bfs_construction_activity` resolves each cube against its own live dimension values by matching the label-embedded BFS number, never by guessing the code. - **Construction coverage:** the current Gemeinde-level building series starts in **2013**; `bfs_construction_activity` therefore accepts `since_year >= 2013`. Values are the consolidated official yearly statistics. Building investment values (`bfs_construction_investment`) are in **1000 CHF**; the `Arbeitsvorrat` is the following year's building volume (a monetary leading indicator). - **Price indices (`bfs_price_index`):** the **IMPI** (residential property price index) is published by BFS only as **PDF/HTML** — there is no machine-readable series — so `index="impi"` returns the official source links plus an explicit limitation, not values. The **Baupreisindex** XLSX is parsed to the national semi-annual series (Schweiz, Baugewerbe Total); regional/object-type breakdowns exist in the source XLSX but are not returned. The DAM asset ids are resolved live from CKAN metadata (never hard-coded), because they change on republish; if the upstream XLSX structure changes, the tool degrades to a clear error rather than returning wrong values. --- ## Testing ```bash # Unit tests (no API key required) PYTHONPATH=src pytest tests/ -m "not live" # Integration tests (live API calls) pytest tests/ -m "live" ``` --- ## Safety & Limits - **Read-only:** All tools perform HTTP GET requests only — no data is written, modified, or deleted. - **No personal data:** STAT-TAB returns aggregated statistical datasets. No personally identifiable information (PII) is processed or stored by this server. - **Rate limits:** The PxWeb API is a public endpoint without documented rate limits; avoid tight loops over the full 682-table catalogue. The server enforces a 30s timeout per request and caches the catalogue index for 1 hour. - **Data freshness:** BFS publishes updated figures periodically (not real-time). Figures reflect the state of the upstream database at query time. - **Terms of service:** Data is subject to the [BFS Terms of Use (OGD)](https://www.bfs.admin.ch/bfs/en/home/grundlagen/nutzungsbedingungen.html). All STAT-TAB data is published as Open Government Data and may be freely used with attribution. - **No guarantees:** This server is a community project, not affiliated with the Swiss Federal Statistical Office. Availability depends on the upstream BFS API. --- ## Changelog See [CHANGELOG.md](CHANGELOG.md) --- ## Contributing See [CONTRIBUTING.md](CONTRIBUTING.md) --- ## Security Read-only, no PII, no authentication, single fixed BFS endpoint. See [SECURITY.md](SECURITY.md) for the full security posture and accepted-risk decisions. --- ## License MIT License — see [LICENSE](LICENSE) --- ## Author Hayal Oezkan · [malkreide](https://github.com/malkreide) --- ## Credits & Related Projects - **BFS:** [www.bfs.admin.ch](https://www.bfs.admin.ch/) — Swiss Federal Statistical Office - **STAT-TAB:** [www.pxweb.bfs.admin.ch](https://www.pxweb.bfs.admin.ch/) — PxWeb database interface - **Protocol:** [Model Context Protocol](https://modelcontextprotocol.io/) — Anthropic / Linux Foundation - **Related:** [swiss-cultural-heritage-mcp](https://github.com/malkreide/swiss-cultural-heritage-mcp) — SIK-ISEA, Nationalmuseum, Nationalbibliothek - **Related:** [fedlex-mcp](https://github.com/malkreide/fedlex-mcp) — Swiss federal law via Fedlex SPARQL - **Related:** [zurich-opendata-mcp](https://github.com/malkreide/zurich-opendata-mcp) — CKAN, weather, air quality, City of Zurich - **Related:** [swiss-transport-mcp](https://github.com/malkreide/swiss-transport-mcp) — OJP journey planning, SIRI-SX disruptions - **Related:** [global-education-mcp](https://github.com/malkreide/global-education-mcp) — UNESCO UIS and OECD Education at a Glance - **Portfolio:** [Swiss Public Data MCP Portfolio](https://github.com/malkreide) <!-- mcp-name: io.github.malkreide/swiss-statistics-mcp --> <!-- BEGIN GENERATED: install --> ## Installation Run via [`uv`](https://docs.astral.sh/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`): ```json { "mcpServers": { "swiss-statistics-mcp": { "command": "uvx", "args": [ "swiss-statistics-mcp" ] } } } ``` <!-- END GENERATED: install -->