No install? Use cloud.anythingmcp.com directly.
Sign in, install the Deutsche Bahn Fahrplan in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Query the Deutsche Bahn (DB) timetable via the community-maintained v6.db.transport.rest proxy over the official HAFAS API. Search stations, look up departures/arrivals in real time, and plan journeys between any two DB stops.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Deutsche Bahn Fahrplan, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Deutsche Bahn Fahrplan + Gemini
Query the Deutsche Bahn (DB) timetable via the community-maintained v6.db.transport.rest proxy over the official HAFAS API. Search stations, look up departures/arrivals in real time, and plan journeys between any two DB stops.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
(none — public API)
Paso 1 — Obtener credenciales
db.transport.rest — a free, no-auth wrapper around Deutsche Bahn's HAFAS endpoints maintained by the public-transport community.
No authentication required, but the service is hosted best-effort — for production use you may want to self-host (see https://github.com/derhuerst/db-rest).
Typical workflow:
- Resolve a station name to a stop
idwithdb_search_locations - Call
db_get_departuresordb_get_arrivalswith that id - For trip planning, use
db_get_journeyswithfromandtostop ids
Time format: All times are ISO 8601 with timezone (e.g. 2026-04-21T08:30+02:00). If omitted, when defaults to now.
…(continued in the in-app connector instructions)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Deutsche Bahn Fahrplandebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| Tool | What it does |
|---|---|
db_search_locations | Search for DB stops/stations, addresses, or points of interest by name |
db_get_stop | Retrieve details for a specific stop/station by its DB id, including name, location, station category, and products served (ICE, IC, RE, S, |
db_get_departures | List upcoming departures from a stop |
db_get_arrivals | List upcoming arrivals at a stop with origin, planned and actual time, platform, delay, and cancellation status |
db_get_journeys | Plan a journey between two stops |
FAQ
¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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