Where's My DB?
Provides real-time delay predictions and connection-chain analysis for Deutsche Bahn trains, allowing users to check if delays will affect their journey and transfers.
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., "@Where's My DB?How will the ICE 597 delay affect my transfer in Frankfurt?"
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.
Where's My DB?
A Claude skill + MCP server that tells you how Deutsche Bahn delays will affect your trip — not just whether your train is late.
What it does
Knowing a train is "5 min late" isn't useful. Knowing that the 12-minute delay three stops up the line will eat your 9-minute transfer in Berlin — that's useful.
Where's My DB? turns "is my train on time?" into a real answer. You ask Claude in plain language and it walks the upstream stops, traces the connection chain, and tells you which delays actually affect your journey:
Likely 15–18 minutes late.
ICE 597 was already 18 min late at Solingen Hbf (three stops upstream) at 15:42.
No scheduled padding before your boarding station at 16:02.
Your Frankfurt connection (ICE 599) is currently on time — you'd lose ~14 min of a 16-min transfer.
Caveat: a single 5-min recovery en route can change this. The official board hasn't updated yet.

See examples/ for three full transcripts.
Related MCP server: ambient-mcp
How it works
┌──────────────────────────────────────────────────────────┐
│ Claude (Code or Desktop) │
│ ┌────────────────────────────────────────────────────┐ │
│ │ Skill: db-delay-predictor │ │
│ │ Reasoning playbook: which tool, how to combine │ │
│ │ signals, how to express confidence honestly. │ │
│ └────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────┘
│ MCP (stdio, JSON-RPC)
▼
┌──────────────────────────────────────────────────────────┐
│ MCP server: db-mcp (TypeScript) │
│ Typed data access. No reasoning. │
│ ┌─────────────────────┐ ┌─────────────────────┐ │
│ │ marudor (primary) │ → │ db-rest (fallback) │ │
│ │ tRPC + devalue │ │ plain REST │ │
│ └─────────────────────┘ └─────────────────────┘ │
│ + 5-min in-memory LRU cache │
└──────────────────────────────────────────────────────────┘Two artifacts. Clean split:
The MCP server knows nothing about reasoning. It's typed data access with transparent provider fallback.
The skill knows nothing about API endpoints. It's a reasoning playbook in markdown.
Both are independently testable. Both ship in this repo.
What's interesting under the hood
The primary data source isn't a public REST API. Marudor (the community DB tracker) runs internal tRPC with custom devalue encoding. The MCP includes a hand-rolled tRPC transport that speaks it, because no public alternative exposes per-stop connection-chain data ("will my Anschluss be held?") — which is the whole point.
Transparent fallback to a stable REST API. If marudor fails (it's an unofficial endpoint), the MCP transparently falls back to db-rest, and the skill tells the user the answer is degraded. Belt-and-suspenders engineering, not a hedge.
The skill is honest about uncertainty. Delay predictions are rounded to 5-minute buckets ("about 10–15 minutes late") because precision would be theater. The skill explicitly enumerates which signals fired and what could change.
5 atomic MCP tools, no reasoning baked in.
resolve_station,find_train,get_train_status,plan_journey,get_disruptions. The skill composes them.52 tests, mostly with mocked HTTP. Includes failure modes: timeout → fallback, both providers down → clean error, partial failure on a single stop's connection chain doesn't break the whole call.
Quick start
Build it:
git clone https://github.com/<you>/wheres-my-db.git
cd wheres-my-db
npm install
npm run buildWire into Claude Code (terminal)
claude mcp add db-mcp -s user -- node "$PWD/packages/db-mcp/dist/index.js"
ln -s "$PWD/packages/skill-db-delay" ~/.claude/skills/db-delay-predictorOpen a claude session, run /mcp to confirm db-mcp is connected with 5 tools, then ask:
Is ICE 597 on time today?Wire into Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"db-mcp": {
"command": "node",
"args": ["/absolute/path/to/wheres-my-db/packages/db-mcp/dist/index.js"]
}
}
}Then symlink the skill the same way and fully quit + relaunch Claude Desktop.
Repo layout
packages/
├── db-mcp/ TypeScript MCP server
│ ├── src/
│ │ ├── server.ts wiring + cache integration
│ │ ├── tools/ one file per MCP tool
│ │ ├── clients/ marudor (tRPC) + db-rest + provider router
│ │ ├── cache.ts LRU
│ │ └── types.ts normalized domain types
│ └── tests/ vitest + msw
└── skill-db-delay/
└── SKILL.md the reasoning playbook
examples/ saved demo transcriptsTest it
npm test52 tests across cache, provider clients, fallback routing, tool wrappers, and server wiring. Network calls are mocked via msw; failure modes (timeout, 5xx, partial collapse) are part of the test surface, not afterthoughts.
Status
v0.1 — usable. Connection-chain prediction works end-to-end against live marudor data.
Known limitations:
Marudor's internal tRPC isn't a public contract; if they change it, the MCP will fall back to db-rest automatically with degraded data and the skill will tell you so.
bahn.routing(the journey-search procedure inside marudor) occasionally returns 5xx upstream from DB itself; this is reflected as a transparent fallback to db-rest's/journeys.
Stretch goals (not in v0.1)
Loop skill for monitoring a specific train at an interval.
Hosted HTTP MCP with SSE transport, so it can be added by URL instead of cloned.
Historical baseline collector — per-train on-time stats over weeks, used as a fifth prediction signal.
Credits
marudor / bahn.expert — the data source that makes the connection-chain feature possible. Without it this project doesn't exist.
db-rest by Jannis R — the stable REST fallback.
License
MIT
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