db-fahrplan-mcp
Provides tools to search for stations, retrieve planned departures, and access real-time changes (delays, platform changes, cancellations) via the Deutsche Bahn Timetables API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@db-fahrplan-mcpShow departures from Berlin Hbf"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
db-fahrplan-mcp
An (unofficial) MCP server for the Deutsche Bahn Timetables API — station search, planned departures, and real-time changes (delays, platform changes, cancellations) as tools for Claude and other MCP clients.
Written in Python with FastMCP. The API's XML responses are parsed into compact JSON server-side, so tool outputs stay small and readable for the model.
Tools
Tool | API endpoint | Description |
|
| Search stations by name, EVA number, or DS100 code |
|
| Planned timetable for one hour slice (defaults to now) |
|
| All known real-time changes for the current day |
|
| Only changes from the last 2 minutes (cheap polling) |
Typical flow: find_station("Aachen Hbf") → EVA number → get_departures(eva_no) + get_live_changes(eva_no).
Related MCP server: MCP Trenitalia
Setup
Requirements: Python ≥ 3.10, uv, free DB API credentials.
1. Get credentials — register at the DB API Marketplace, create an application, and subscribe it to the Timetables API. This gives you a Client ID and an API key.
2. Clone and configure:
git clone https://github.com/eric134422/db-fahrplan-mcp.git
cd db-fahrplan-mcp
uv sync
cp .env.example .env # then paste your credentials into .env3. Register with your MCP client — e.g. Claude Code (.mcp.json):
{
"mcpServers": {
"db-fahrplan": {
"command": "uv",
"args": ["--directory", "/absolute/path/to/db-fahrplan-mcp", "run", "server.py"]
}
}
}Or test interactively with the MCP Inspector:
npx @modelcontextprotocol/inspector uv run server.pyArchitecture
server.py MCP layer: FastMCP instance + the four @mcp.tool()s (stdio transport)
api.py HTTP layer: httpx client, auth headers, error mapping
parser.py Translation layer: DB's XML → compact JSON dictsThe layers are deliberately independent: api.py knows nothing about MCP, parser.py knows nothing about HTTP. Swap or test each in isolation.
Why a parsing layer?
The Timetables API returns XML with single-letter attributes (pt = planned time, ct = changed time, pp/cp = planned/changed platform, ppth = route). Passing that to an LLM raw wastes context and invites misreading — a single /fchg response can exceed 50k characters. parser.py maps the attributes to named JSON fields, computes delay_minutes, resolves origin/destination from the route path, and drops empty fields. get_live_changes additionally caps the stop list (limit parameter, default 30) and reports the total count.
The attribute semantics come from the official OpenAPI spec — download Timetables-*.json from the DB API Marketplace for the full dictionary.
API quirks worth knowing
EVA numbers are the primary key for everything (
8000001= Aachen Hbf). German stations start with80.Station search is a prefix match on exact DB naming:
Stolberg(Rheinl)Hbfworks,Stolberg Hbfdoesn't. Umlauts often fail;*works as a wildcard.Times in the raw API are
YYMMddHHmmstrings in German local time; the parser converts them to ISO (2026-07-13T14:47)./planslices are static — they never contain delays. Real-time data lives exclusively in/fchgand/rchg.
Roadmap
Tests (pytest, mocked API responses)
get_train— follow a single trip across stationsOptional full route (
viastations) in departure outputMCPB packaging
Contributions welcome — the codebase is intentionally small and readable. Fragen und Issues gerne auch auf Deutsch.
License
MIT. Not affiliated with Deutsche Bahn AG. API data is subject to the DB API terms.
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