SBB Open Data Server

🇨🇭 Part of the Swiss Public Data MCP Portfolio

PyPI License: MIT Python 3.11+ MCP Data Source

MCP server connecting AI models to Swiss Federal Railways (SBB) open data – passenger frequency, live rail disruptions, infrastructure & real-estate projects, train counts, platform data, rolling stock and station search from data.sbb.ch. No API key required.

🇩🇪 Deutsche Version

Demo

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Overview

sbb-opendata-mcp gives AI assistants like Claude direct access to public SBB data – no copy-pasting or manual API calls. A question like "How many passengers passed through Zürich HB every day in 2024?" is answered with real measured data.

The SBB Open Data portal speaks the OpenDataSoft REST API (v2.1). This server translates it into clean Markdown and JSON for the AI model, and adds MCP structuredContent alongside the human-readable text so programmatic clients can consume the underlying records without re-parsing. The server is model-agnostic and works with any MCP-compatible client.

Anchor demo query: "Compare Zürich HB, Bern and Basel SBB by passenger frequency and platform capacity." → More use cases by audience →

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Features

• 📊 Passenger frequency – boardings/alightings by station and year (daily averages)
• 🚨 Live rail disruptions – traffic messages, updated every 5 minutes
• 🏗️ Infrastructure projects – station and line construction
• 🏢 Real-estate projects – SBB property development (daily updates)
• 🚆 Trains per segment – train counts per route (SBB, BLS, SOB …)
• 🛤️ Platform data – length, type, area, step-free access
• 🚃 Rolling stock – capacity and year built
• 🔁 Station comparison – up to 10 stations across multiple datasets
• 🔍 Stop search – Swiss DiDok register (all of Switzerland)
• 📦 Dataset catalogue – list all ~89 SBB open datasets
• 🔑 No API key – all data is public and free to use
• ☁️ Dual transport – stdio for Claude Desktop, Streamable HTTP for cloud deployment

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Prerequisites

• Python 3.11+
• No API key — all data comes from the public data.sbb.ch portal

Install uv (recommended):

curl -LsSf https://astral.sh/uv/install.sh | sh

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Installation

From PyPI:

pip install sbb-opendata-mcp

Or with uvx (no permanent installation):

uvx sbb-opendata-mcp

For local development, install from a clone in editable mode:

git clone https://github.com/malkreide/sbb-opendata-mcp.git
cd sbb-opendata-mcp
pip install -e ".[dev]"

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Quickstart

# Start the server (stdio mode for Claude Desktop)
sbb-opendata-mcp

Try it immediately in Claude Desktop:

"How many people boarded at Zürich HB daily in 2024?" "Are there any current disruptions on the Swiss rail network?"

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Configuration

Environment Variables

The server needs no configuration to run over stdio. The variables below tune the optional Streamable HTTP transport, logging and observability.

Variable	Effect	Default
MCP_HOST	Bind host for the HTTP transport. Keep 127.0.0.1 locally; only bind 0.0.0.0 inside a controlled container/cloud environment.	127.0.0.1
MCP_PORT	Port for the HTTP transport.	8000
MCP_ALLOWED_HOSTS	Comma-separated host allow-list for DNS-rebinding protection (e.g. your-app.onrender.com,your-app.onrender.com:*).	localhost only
MCP_ALLOWED_ORIGINS	Comma-separated browser-origin allow-list (e.g. https://your-app.onrender.com).	(none)
LOG_LEVEL	Log verbosity (DEBUG/INFO/WARNING/…).	INFO
LOG_FORMAT	json for structured logs; anything else for human-readable text. Always written to stderr.	text

🔒 DNS-rebinding / Origin protection is always on; localhost is allow-listed so local HTTP development works out of the box. Logs go to stderr — stdout is reserved for the stdio JSON-RPC channel.

Claude Desktop Configuration

{
  "mcpServers": {
    "sbb-opendata": {
      "command": "uvx",
      "args": ["sbb-opendata-mcp"]
    }
  }
}

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Restart Claude Desktop — the server is downloaded automatically on first use.

Other MCP Clients

Works with Cursor, Windsurf, VS Code + Continue, LibreChat, Cline and self-hosted models via mcp-proxy — same configuration as above.

Cloud Deployment (Streamable HTTP)

For use via claude.ai in the browser or remote servers (e.g. Render.com). The cloud transport is Streamable HTTP (endpoint /mcp).

Docker (recommended):

# Build + run with explicit resource limits (see docker-compose.yml)
docker compose up --build
# → http://127.0.0.1:8000/mcp

The image is a multi-stage build running as a non-root user; docker-compose.yml adds read_only, no-new-privileges and memory/CPU/PID limits.

Manual / Render.com:

pip install -e .

# Bind publicly (behind a rate-limiting reverse proxy) and configure
# DNS-rebinding / Origin protection for your hostname:
export MCP_HOST=0.0.0.0
export MCP_ALLOWED_HOSTS="your-app.onrender.com,your-app.onrender.com:*"
export MCP_ALLOWED_ORIGINS="https://your-app.onrender.com"
python -m sbb_opendata_mcp.server --http --port 8000

⚠️ Binding: In a network transport the server binds to 127.0.0.1 by default so a locally started server is not exposed to your whole network. Set MCP_HOST=0.0.0.0 only in a container/cloud environment where binding to all interfaces is intended (the Docker image does this for you), and place the server behind a reverse proxy that enforces rate limiting (and authentication, if the endpoint should not be public). See SECURITY.md.

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Available Tools

Tool	Description	Data Update
sbb_get_passenger_frequency	Boardings/alightings by station and year (daily avg.)	Annual
sbb_get_rail_disruptions	Live rail traffic messages	Every 5 min.
sbb_get_infrastructure_construction_projects	Infrastructure construction (stations, lines)	Ongoing
sbb_get_real_estate_projects	SBB real estate development projects	Daily
sbb_get_trains_per_segment	Train counts per route segment (SBB, BLS, SOB …)	Annual
sbb_get_platform_data	Platform data (length, type, area)	Ongoing
sbb_get_rolling_stock	Rolling stock (capacity, year built)	Ongoing
sbb_compare_stations	Compare up to 10 stations (multi-dataset)	–
sbb_search_stations	Search stops (Swiss DiDok register, all CH)	Ongoing
sbb_list_datasets	List all ~89 SBB open datasets	–

All tools support response_format: "markdown" (human-readable) and "json" (machine-readable), plus pagination. Every tool also returns MCP structuredContent (the underlying records/metadata) alongside the rendered text.

Example Use Cases

Query	Tool
"How many people boarded at Zürich HB daily in 2024?"	sbb_get_passenger_frequency
"Are there any current disruptions on the Swiss rail network?"	sbb_get_rail_disruptions
"Compare Zürich HB, Bern and Basel SBB"	sbb_compare_stations
"Which SBB construction projects are active in Zürich?"	sbb_get_infrastructure_construction_projects
"How many trains run yearly on the Zürich–Winterthur route?"	sbb_get_trains_per_segment
"Which stops exist in Wädenswil?"	sbb_search_stations

→ More use cases by audience

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Architecture

┌─────────────────┐     ┌───────────────────────────┐     ┌──────────────────────────┐
│   Claude / AI   │────▶│   SBB Open Data MCP       │────▶│       data.sbb.ch        │
│   (MCP Host)    │◀────│   (MCP Server)            │◀────│                          │
└─────────────────┘     │                           │     │  OpenDataSoft REST v2.1  │
                        │  10 Tools                 │     │  (public, no API key)    │
                        │  Stdio | Streamable HTTP  │     │                          │
                        │                           │     │  passagierfrequenz       │
                        │  Shared httpx client      │     │  rail-traffic-information │
                        │  (pooled, lifespan-managed)│    │  construction-projects   │
                        │  ODSQL escaping + Pydantic │     │  perron · rollmaterial   │
                        │  validation               │     │  zugzahlen · dienststellen│
                        └───────────────────────────┘     └──────────────────────────┘

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Project Structure

sbb-opendata-mcp/
├── src/sbb_opendata_mcp/
│   ├── __init__.py
│   └── server.py                   # FastMCP server, all 10 tool definitions
├── tests/
│   └── test_server.py              # Unit + live API smoke tests
├── audits/                         # MCP best-practice audit evidence
├── docs/assets/demo.svg            # README demo asset
├── .github/workflows/ci.yml        # GitHub Actions (Python 3.11/3.12/3.13)
├── Dockerfile                      # Multi-stage, non-root runtime image
├── docker-compose.yml              # Local run with resource limits
├── claude_desktop_config.json      # Example Claude Desktop config
├── pyproject.toml
├── CHANGELOG.md
├── CONTRIBUTING.md
├── SECURITY.md
├── EXAMPLES.md
├── LICENSE
├── README.md                       # This file (English)
└── README.de.md                    # German version

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Safety & Limits

• Read-only: All 10 tools perform read-only HTTP GET requests — no data is written, modified, or deleted upstream.
• No personal data: Queries are transient and not stored. The portal returns aggregated statistics, infrastructure and operational metadata. No PII is processed or retained.
• No API key: Data is public and free. There is no authentication and no secret to manage.
• Injection-hardened: year/canton are regex-validated and every value interpolated into an ODSQL where clause is escaped via a central helper.
• Data freshness: Real-time tools (disruptions) reflect the upstream source at query time; statistical datasets update annually/daily (see the tool table).
• Terms of service: Data is published under the data.sbb.ch licence (NonCommercialAllowed-CommercialAllowed-ReferenceRequired).
• No guarantees: This server is a community project, not affiliated with SBB. Availability depends on the upstream API.

See SECURITY.md for the full security posture.

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Known Limitations

• Passenger frequency: Updated annually; the latest full year may lag by some months.
• Rail disruptions: Returns all current Swiss rail messages → use limit and pagination.
• Trains per segment: Counts are yearly aggregates, not real-time.
• Station search: Covers the full Swiss DiDok register (all operators), not just SBB.
• No rate limiting of its own: Place a public HTTP deployment behind a rate-limiting reverse proxy.

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Testing

No API key is required.

# Unit tests (no network required)
PYTHONPATH=src pytest tests/ -m "not live"

# Live API smoke tests (require network access to data.sbb.ch)
PYTHONPATH=src pytest tests/ -m live

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Changelog

See CHANGELOG.md

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Contributing

See CONTRIBUTING.md

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License

MIT License — see LICENSE

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Author

Hayal Oezkan · github.com/malkreide

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Credits & Related Projects

• Data: data.sbb.ch – Swiss Federal Railways (SBB) Open Data, OpenDataSoft REST API v2.1
• Protocol: Model Context Protocol – Anthropic / Linux Foundation
• Related:
  • swiss-transport-mcp – real-time timetables, journeys & disruptions (opentransportdata.swiss)
  • swiss-road-mobility-mcp – micromobility & EV charging
  • zurich-opendata-mcp – MCP server for Zurich city open data
• Portfolio: Swiss Public Data MCP Portfolio

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": {
    "sbb-opendata-mcp": {
      "command": "uvx",
      "args": [
        "sbb-opendata-mcp"
      ]
    }
  }
}