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.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Deutsche Bahn Fahrplan, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
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.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
(none — public API)
Step 1 — Ottieni le credenziali
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)
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Deutsche Bahn Fahrplandovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| 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 supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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