Ermöglicht es einem AI-Client, über GTFS- und GTFS-RT-Feeds auf Haltestellen, Fahrpläne, Routen und Live-Fahrzeugpositionen des öffentlichen Nahverkehrs in Lwiw zuzugreifen.
Auch bekannt als vbhjckfd/timetable-api-node, timetable-api-node
- Stars
- 3
- Tools
- 9
- Downloads, 30 Tage
- —
- Neueste Version
- 1.8.19
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- WTFPL
Was ist Lviv Public Transport MCP?
Lviv Public Transport ist ein MCP server. Ermöglicht es einem AI-Client, über GTFS- und GTFS-RT-Feeds auf Haltestellen, Fahrpläne, Routen und Live-Fahrzeugpositionen des öffentlichen Nahverkehrs in Lwiw zuzugreifen. Er stellt 9 Tools bereit, etwa search_stops, get_stops_around_location, get_stop_realtime.
Zusammenfassung generiert aus dem README des Projekts
Über Lviv Public Transport MCP server
Entwickler und Pendler in Lwiw können über diesen MCP server auf Echtzeit-Verkehrsdaten zugreifen. Er bietet eine Schnittstelle für AI-Clients, um mit Informationen des öffentlichen Nahverkehrs zu interagieren, einschließlich Haltestellen, Routen und Live-Fahrzeugpositionen. Der Server fungiert als Read-only-Endpunkt via streamable HTTP, wodurch Tools wie Claude oder Cursor Verkehrsdetails ohne komplexes Setup abrufen können.
Nutzer können das System mit spezifischen Tools abfragen, wie zum Beispiel search_stops, um Orte nach Namen zu finden, oder get_stop_realtime, um Live-Ankunftsprognosen zu sehen. Der Server integriert GTFS- und GTFS-RT-Feeds, um sowohl statische Fahrplandaten als auch Live-Updates bereitzustellen. Er unterstützt komplexe Anfragen, wie das Finden von Routen zwischen zwei bestimmten Orten oder das Identifizieren von Fahrzeugen in einem bestimmten Radius. Für die lokale Entwicklung benötigt der Server Node.js 26 und kann über Umgebungsvariablen konfiguriert werden, um Ports und Upstream-Daten-URLs zu verwalten.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du Lviv Public Transport MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenLviv Public Transport MCP in Claude Code installieren
$ claude mcp add --transport http timetable-api-node https://api.lad.lviv.ua/mcpLviv Public Transport MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"timetable-api-node": {
"url": "https://api.lad.lviv.ua/mcp"
}
}
}Lviv Public Transport MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"timetable-api-node": {
"type": "http",
"url": "https://api.lad.lviv.ua/mcp"
}
}
}Lviv Public Transport MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"timetable-api-node","type":"http","url":"https://api.lad.lviv.ua/mcp"}'Lviv Public Transport MCP in Codex installieren
$ codex mcp add timetable-api-node --url https://api.lad.lviv.ua/mcpLviv Public Transport MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.timetable-api-node] url = "https://api.lad.lviv.ua/mcp"
Lviv Public Transport MCP in Gemini CLI installieren
$ gemini mcp add -s user --transport http timetable-api-node https://api.lad.lviv.ua/mcpLviv Public Transport MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"timetable-api-node": {
"url": "https://api.lad.lviv.ua/mcp",
"type": "http"
}
}
}Lviv Public Transport MCP tools 9
Erkannt aus dem READMEsearch_stopsget_stops_around_locationget_stop_realtimefind_routes_betweenget_route_staticget_route_realtimeget_nearby_vehiclesget_vehicle_infoget_disruptions
| search_stops | — | |
| get_stops_around_location | — | |
| get_stop_realtime | — | |
| find_routes_between | — | |
| get_route_static | — | |
| get_route_realtime | — | |
| get_nearby_vehicles | — | |
| get_vehicle_info | — | |
| get_disruptions | — |
Automatisierte Checks
Geluften am 12. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren · Was du für mehr Punkte verbessern kannst
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)WTFPL is not OSI-approvedBefund
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageBestanden
- Remote Endpoint nutzt HTTPSBestanden
- Destruktive Tools sind markiertBestanden
- Keine versteckten Anweisungen an das ModellBestanden
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenNicht geprüft
README
Auf GitHub ansehenTimetable API Node
Express-based API for Lviv transport timetable data with a read-only MCP endpoint.
Requirements
- Node.js 26 (see
.nvmrc)
Run locally
nvm use
npm install
cp .env.dist .env
make import # first run, and whenever the GTFS feed changes
make start
make import downloads the static GTFS feed (gtfs-import-config.json) and
writes the two stores the server reads: database/Timetable (LokiJS: stops,
routes, shapes, first-stop schedules) and database/gtfs (SQLite: trips and
calendars). Both are gitignored, so a fresh clone has no data until it runs.
make import-slim re-imports only the light tables into SQLite and leaves
database/Timetable alone.
Configuration
All variables are optional; see .env.dist.
| Variable | Default | Purpose |
|---|---|---|
PORT |
8080 |
HTTP port. |
VEHICLES_LOCATION_URL |
https://track.ua-gis.com/gtfs/lviv/vehicle_position |
GTFS-RT vehicle positions feed. |
TRIP_UDPDATES_URL |
https://track.ua-gis.com/gtfs/lviv/trip_updates |
GTFS-RT trip updates feed (the misspelling is the real name). |
MCP_PUBLIC_BASE_URL |
https://api.lad.lviv.ua |
Base URL used in MCP metadata (icon URL). |
NEW_RELIC_LICENSE_KEY |
— | Enables New Relic APM (see Monitoring). |
NEW_RELIC_APP_NAME, NEW_RELIC_LOG_LEVEL |
timetable-api-node, info |
New Relic agent settings. |
PULSE_WORKER_URL, PULSE_SIGNAL_SECRET |
— | Signal a Pulse worker on each /stops/:code/timetable request; both must be set. |
MCP_URL |
https://api.lad.lviv.ua/mcp |
Only for the timetable-mcp stdio proxy: the remote endpoint it forwards to. |
Test
nvm use && make test
TypeScript
The code is TypeScript and runs straight from the .ts sources under Node's
built-in type stripping — there is no build step for the server, the GTFS
import or the scripts. That means only erasable syntax (no enum,
namespace or parameter properties), import type for type-only imports, and
relative imports that name the .ts file; tsconfig.json enforces all three.
npm run typecheck # tsc, no emit
npm run build emits just mcp/stdio.js, the published bin: Node does not
strip types inside node_modules, so the npm package has to ship JavaScript.
It runs on npm pack/npm publish; the output is not committed.
public/stopOverrides.js is served to browsers as-is, so it stays JavaScript
and is type-checked from its JSDoc.
Monitoring
New Relic APM, off unless NEW_RELIC_LICENSE_KEY is set. It also carries
errors and the custom metrics recorded through utils/metrics.ts.
New Relic runs as a preloaded agent, so npm start carries the flags:
node -r dotenv/config -r newrelic --import newrelic/esm-loader.mjs index.ts
dotenv/config is preloaded first so .env is populated before the agent
reads its configuration. The config file is newrelic.cjs (the agent is
CommonJS and this project is ESM) and holds no secrets — the key comes from the
environment. /health is excluded from transactions via rules.ignore.
The account is in the EU region; its license key starts with eu01xx and
the agent picks the collector from that prefix. Use the 40-character ingest
license key, not an NRAK-... user API key.
Cloud Run reads the key from Secret Manager:
gcloud run services update timetable-api-node --region=europe-north1 --project=timetable-252615 --set-secrets=NEW_RELIC_LICENSE_KEY=new-relic-license-key:latest
MCP Server
This service exposes a public read-only MCP endpoint over Streamable HTTP. It speaks MCP revision 2026-07-28 (stateless: server/discover, a per-request _meta envelope, cacheable list results) and still serves 2025-era clients that open with initialize (2025-11-25 back to 2024-11-05).
- MCP endpoint:
/mcp - Server card:
/.well-known/mcp/server-card.json - Discovery hint:
/robots.txt(non-standard comment hint)
Production deployment (see cloudbuild.yaml for Cloud Run) serves REST and MCP from api.lad.lviv.ua. The main site lad.lviv.ua is the public transport website (this repo still links there in HTML sitemap and tables for people, not for the API host). Use your own origin when running locally.
LLM and /mcp flow
An MCP client (Claude, Cursor, or the MCP SDK) talks JSON-RPC over Streamable HTTP to POST /mcp. Tool handlers reuse the same Express actions as the REST API, backed by LokiJS timetable data, GTFS SQLite (via gtfs), and live GTFS-RT feeds (for example track.ua-gis.com).
graph LR;
Client[LLM or MCP client] -->|JSON-RPC Streamable HTTP| Mcp["POST /mcp"];
Mcp --> Tools[Tool handlers];
Tools --> Actions[Express actions];
Actions --> Loki[(LokiJS)];
Actions --> Gtfs[(GTFS SQLite)];
Actions --> Rt[GTFS-RT upstream];
Loki --> Actions;
Gtfs --> Actions;
Rt --> Actions;
Actions --> Tools;
Tools --> Mcp;
Mcp -->|MCP tool result| Client;
Try the live API
MCP Inspector (local): run npx @modelcontextprotocol/inspector, then open the UI with transport and server URL prefilled (from the inspector README):
http://localhost:6274/?transport=streamable-http&serverUrl=https%3A%2F%2Fapi.lad.lviv.ua%2Fmcp
POST https://api.lad.lviv.ua/mcp with Content-Type: application/json and Accept: application/json, text/event-stream — the Streamable HTTP transport rejects a request that does not accept both. The server is stateless: there is no session, so tools/call works on its own without an initialize first. The response arrives as a single SSE event: message frame carrying the JSON-RPC result. This is the 2025-era request shape; a 2026-07-28 request also sends MCP-Protocol-Version: 2026-07-28 and Mcp-Method headers, plus io.modelcontextprotocol/protocolVersion and io.modelcontextprotocol/clientCapabilities in params._meta.
curl -s https://api.lad.lviv.ua/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_stop_realtime","arguments":{"stop_id":101}}}'
Example tools/call body shape:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "get_stop_realtime",
"arguments": { "stop_id": 101 }
}
}
Successful tool responses return a natural-language text summary inside MCP content items (type: "text") — e.g. "Stop «Площа Ринок»: 6 arrivals. Next: Т02 → «Пасічна» in 3 min." The full structured payload is in the structuredContent field (for schema-aware clients). Each structuredContent payload follows one contract:
{
"view": "transit_realtime",
"data": { "...": "tool-specific payload" },
"ui_blocks": [
{ "type": "map", "data": { "center": [49.84, 24.03], "zoom": 14, "layers": { "stops": "data.stop", "vehicles": "data.arrivals" } } },
{ "type": "arrival_list", "data": { "source": "data.arrivals" } }
]
}
ui_blocks point into data instead of repeating it. A map block gives the centre and zoom, and layers maps stops, vehicles and polylines to a dot path in the result; every stop and vehicle there has lat/lng, vehicles also bearing. An arrival_list block names the arrivals array to render, already sorted by arrival_minutes (null = no ETA).
Exposed tools
All tools are read-only. Stop IDs are the numeric codes on stop signs, returned as strings ("707"). Route names are the short names on vehicles ("Т30", "А1"); Latin "T30"/"A01" work too, and a bare number is read as an internal route ID. An unknown route or vehicle returns isError: true with a hint on what to pass instead.
| Tool | Arguments | Returns |
|---|---|---|
search_stops |
query (string, ≥ 2 chars), limit (1–25, default 10) |
Stops whose Ukrainian or English name contains every query word (inflection-tolerant: "опера" finds «Театр опери та балету»; punctuation and Latin look-alike letters are ignored, so "пл. ринок" and "Cихiв" match), with routes. |
get_stops_around_location |
latitude, longitude, radius_meters (50–3000, default 1000) |
Stops near a point, nearest first, with distance_meters and routes. |
get_stop_realtime |
stop_id, lowfloor_only (default false) |
Live arrivals: route, direction (destination), vehicle_type, arrival_minutes, vehicle position, lowfloor; scheduled: true marks timetable entries shown when no vehicle is predicted. |
find_routes_between |
from_stop_id or from_lat + from_lng; to_stop_id or to_lat + to_lng; depart_at or arrive_by ("HH:MM" Lviv time or ISO 8601, default now) |
Routes within a 300 m walk of each stop end (600 m of a point), best first: direct options (board_stop, alight_stop, destination, stops_count, walk at each end) and transfer_options with exactly one interchange inside a 300 m stop cluster. Each option carries schedule (timetable estimate: leave_at, per-leg board_at/alight_at, arrive_at, total_minutes) and, when planning for now, next_departures (live, from the boarding stop). Suspended routes and stops a detour skips are left out; walk_meters when the ends are a short walk apart. |
get_route_static |
route_name, include_shapes (default false) |
Name, type, colour, stop lists for both directions, first-stop timetable; polylines only on request. |
get_route_realtime |
route_name, direction (0 or 1, optional) |
Vehicles on the route with destination and next_stop (id, name, ISO arrival); headways per direction: vehicle count, live gaps_minutes front to back, scheduled_headway_minutes. |
get_nearby_vehicles |
latitude, longitude, radius_meters (100–1000, default 500), route, limit (1–50, default 15), lowfloor_only (default false) |
Live vehicles nearest first, with destination and distance_meters; total counts all in range. |
get_vehicle_info |
vehicle_id |
One vehicle: position, route, destination, plate, upcoming stops (id, name, ISO times) not yet passed. |
get_disruptions |
route, stop_id (both optional) |
Announced closures, detours (detour.via streets) and moved stops in force today. get_stop_realtime, get_route_static, get_route_realtime and find_routes_between also add a disruptions array when one touches their routes or stops. |
{
"view": "transit_realtime",
"data": {
"stop": { "id": "61", "name": "Площа Ринок", "lat": 49.84146, "lng": 24.03227 },
"arrivals": [
{
"route": "Т02",
"direction": "Пасічна",
"vehicle_type": "tram",
"arrival_minutes": 3,
"vehicle_id": "2393",
"lat": 49.83461,
"lng": 24.01672,
"bearing": 60
}
],
"updated_at": "2026-09-23T09:01:21Z"
},
"ui_blocks": [
{
"type": "map",
"data": { "center": [49.84146, 24.03227], "zoom": 14, "layers": { "stops": "data.stop", "vehicles": "data.arrivals" } }
},
{ "type": "arrival_list", "data": { "source": "data.arrivals" } }
]
}
{
"view": "transit_realtime",
"data": {
"query": "rynok",
"stops": [
{
"id": "61",
"name": "Площа Ринок",
"lat": 49.84146,
"lng": 24.03227,
"eng_name": "Rynok square",
"routes": ["Т01", "Т02"]
}
],
"updated_at": "2026-09-23T09:36:53Z"
},
"ui_blocks": [
{ "type": "map", "data": { "center": [49.84146, 24.03227], "zoom": 14, "layers": { "stops": "data.stops" } } }
]
}
One stop name usually covers both sides of the street under different IDs; each is returned, and routes tells them apart. get_stops_around_location returns the same stop objects plus distance_meters.
Text summary: "3 direct routes «Площа Ринок» → «Залізничний вокзал». Best: Т01 towards «Залізничний вокзал», 8 stops, board at «Руська» (137m walk)."
{
"view": "transit_realtime",
"data": {
"from": { "id": "61", "name": "Площа Ринок", "stop_ids": ["10", "57", "58", "59", "61", "63", "855"] },
"to": { "id": "118", "name": "Залізничний вокзал", "stop_ids": ["117", "118", "188", "189", "190", "191"] },
"options": [
{
"route": "Т01",
"vehicle_type": "tram",
"direction": 0,
"destination": "Залізничний вокзал",
"board_stop": { "id": "58", "name": "Руська", "lat": 49.84186, "lng": 24.03408 },
"alight_stop": { "id": "118", "name": "Залізничний вокзал", "lat": 49.839, "lng": 23.99677 },
"stops_count": 8,
"walk_to_board_meters": 137,
"walk_from_alight_meters": 0
}
],
"transfer_options": [],
"map_stops": [
{ "id": "58", "name": "Руська", "lat": 49.84186, "lng": 24.03408, "role": "board" },
{ "id": "118", "name": "Залізничний вокзал", "lat": 49.839, "lng": 23.99677, "role": "alight" }
],
"updated_at": "2026-09-23T09:36:53Z"
},
"ui_blocks": [
{ "type": "map", "data": { "center": [49.84043, 24.01543], "zoom": 13, "layers": { "stops": "data.map_stops" } } }
]
}
Each end covers every stop within a 300 m walk (stop_ids): a line's two directions often stop on opposite sides of a street under different names, as here, where Т01 towards the station leaves from «Руська», not «Площа Ринок». Options are ranked by stops plus walking (150 m of walking weighs as one stop), one per route and direction. A direction's last stop counts as a place to get off, not to board.
transfer_options hold trips with exactly one interchange, never more. Each has two legs (same fields as a direct option, minus the walks) and transfer_walk_meters: the interchange may be the same stop (0) or any stop within 300 m of where the first leg ends, so a cluster of stops around a square or junction works as one interchange. A line that already reaches the destination directly is never used as either leg, and a transfer costs as much as 5 extra stops in the ranking. Transfer options are listed (up to 5) when there is no direct route, or when they beat the best direct one. Both lists empty means the trip needs two or more transfers.
map_stops is the best trip's stops in riding order (a transfer option when one is listed, since those only appear when they beat every direct one), each with a role: board, transfer (same-stop interchange) or transfer_alight + transfer_board (walking interchange), and alight. The map block plots them, centred on the box around all of them (interchange included) with zoom 14–11 by its size.
{
"view": "transit_realtime",
"data": {
"route": { "name": "Т30", "long_name": "Університет - Городоцька - вул. Ряшівська", "color": "#EF88AA", "type": "trolleybus" },
"stops": [
[
{
"id": "101", "name": "Університет", "lat": 49.841, "lng": 24.003,
"departures": ["05:30", "05:52"],
"schedule": { "workday": ["05:30", "05:52", "06:10"], "saturday": ["07:00", "07:30"], "sunday": ["07:00"], "weekend": ["07:00", "07:30"] }
},
{ "id": "707", "name": "Стадіон Сільмаш", "lat": 49.838, "lng": 24.021, "departures": [], "schedule": { "workday": [], "saturday": [], "sunday": [], "weekend": [] } }
],
[
{ "id": "707", "name": "Стадіон Сільмаш", "lat": 49.838, "lng": 24.021, "departures": ["06:00"], "schedule": { "workday": ["06:00"], "saturday": [], "sunday": [], "weekend": [] } }
]
],
"updated_at": "2026-09-23T09:01:12Z"
},
"ui_blocks": [
{ "type": "map", "data": { "center": [49.841, 24.003], "zoom": 13, "layers": { "stops": "data.stops" } } }
]
}
stops[0] is direction 0 (outbound), stops[1] direction 1 (return). departures and schedule are populated for the first stop of each direction; other stops have empty arrays. schedule.workday is Monday–Friday, schedule.saturday / schedule.sunday the two weekend days (they can differ); schedule.weekend merges both and is kept for backward compatibility; departures keeps today's schedule for backward compatibility. With include_shapes: true, data.shapes holds one [lat, lng] polyline per direction and the map block adds "polylines": "data.shapes".
{
"view": "transit_realtime",
"data": {
"route_name": "Т01",
"destinations": ["Залізничний вокзал", "Погулянка"],
"vehicles": [
{
"id": "5907",
"direction": 0,
"destination": "Залізничний вокзал",
"next_stop": { "id": "118", "name": "Залізничний вокзал", "arrival": "2026-09-23T09:35:00.000Z" },
"lat": 49.83947,
"lng": 23.99566,
"bearing": 126,
"lowfloor": true
}
],
"updated_at": "2026-09-23T09:32:10Z"
},
"ui_blocks": [
{ "type": "map", "data": { "center": [49.83947, 23.99566], "zoom": 13, "layers": { "vehicles": "data.vehicles" } } }
]
}
route_name is the canonical short name whatever form was passed. direction indexes get_route_static's stops (0 = outbound, 1 = return) and destinations. next_stop is null when the feed has no trip update for the vehicle.
{
"view": "transit_realtime",
"data": {
"center_lat": 49.8419,
"center_lng": 24.0316,
"radius_meters": 500,
"total": 18,
"vehicles": [
{
"id": "3422",
"route": "Т01",
"vehicle_type": "tram",
"direction": 0,
"destination": "Залізничний вокзал",
"lat": 49.84154,
"lng": 24.03364,
"bearing": 258,
"lowfloor": false,
"distance_meters": 152
}
],
"updated_at": "2026-09-23T09:32:10Z"
},
"ui_blocks": [
{ "type": "map", "data": { "center": [49.8419, 24.0316], "zoom": 15, "layers": { "vehicles": "data.vehicles" } } }
]
}
{
"view": "transit_realtime",
"data": {
"vehicle_id": "5907",
"route": "Т01",
"license_plate": "1238",
"lat": 49.83947,
"lng": 23.99566,
"bearing": 126,
"direction": 0,
"destination": "Залізничний вокзал",
"upcoming_stops": [
{ "id": "118", "name": "Залізничний вокзал", "arrival": null, "departure": "2026-09-23T09:35:00.000Z" },
{ "id": "188", "name": "Приміський вокзал", "arrival": "2026-09-23T09:35:49.000Z", "departure": null }
],
"updated_at": "2026-09-23T09:32:10Z"
},
"ui_blocks": [
{ "type": "map", "data": { "center": [49.83947, 23.99566], "zoom": 15, "layers": { "vehicles": "data" } } }
]
}
route is the route short name, falling back to the opaque GTFS route ID only when the route is missing from the local data. Either value is accepted as route_name by get_route_static and get_route_realtime. license_plate is null when the feed has none.
Prompts
Reusable instruction templates. stop_id is a positive integer or digits-only string.
| Prompt | Arguments | Use case |
|---|---|---|
plan-trip |
from, to |
Routes between two named places (or stop IDs), direct or with one transfer, with live departures from the boarding stop. |
route-status |
route_name |
Where a route's vehicles are right now, by direction. route_name supports completion. |
transit-map-view |
stop_id |
Map-first rendering of live vehicles for a stop. |
transit-arrival-list |
stop_id |
Arrival list for a stop, sorted by ETA and grouped by route. |
transit-hybrid-view |
stop_id |
Map block first, arrival-list block second, with ETA values kept consistent across both. |
Resources and resource templates
In addition to tools, the server exposes MCP resources for reference data that doesn't require a tool call:
| URI | Description |
|---|---|
timetable://about |
Scope, usage, and data caveats for this server (Markdown) |
timetable://reference/tools |
Tools reference table (Markdown) |
timetable://reference/prompts |
Prompt templates catalog (Markdown) |
timetable://stop/{code} |
Static info for a stop by numeric code — name, coordinates, serving routes (JSON) |
timetable://route/{name} |
Static metadata for a route by short name — color, type, stop counts (JSON) |
{name} in timetable://route/{name} supports completion/complete ("t3" → "Т30", "a1" → "А01"). Unknown stops or routes fail with JSON-RPC error -32602 and data.uri (resource not found, per MCP 2026-07-28).
Security model
- Public read-only (no authentication).
- No mutating tools are exposed.
POST /mcpis rate-limited to 60 requests/min per IP (in-memory, resets on restart). Excess requests receive HTTP 429 with a JSON-RPC error body.- Requests carrying
X-Internal-Keyequal to theINTERNAL_API_KEYenv var (the lad.lviv.ua frontend server) skip every rate limit. robots.txtis only a best-effort discovery hint and not a protocol contract.
REST API
All endpoints return JSON. :code is a numeric stop code; :name is a route short name (e.g. T1, 32A) or numeric external ID.
Stops
GET /stops.json
All stops as a JSON array, sorted by code.
- Response: array of
{ code, name, eng_name, location: [lat, lng], routes, sign, sign_pdf }.
(GET /stops returns an HTML table instead.)
Lviv Public Transport MCP Fragen
Wie füge ich Lviv Public Transport MCP zu Claude Code hinzu?
Führe claude mcp add --transport http timetable-api-node https://api.lad.lviv.ua/mcp in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich Lviv Public Transport MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Welche Tools bietet Lviv Public Transport MCP?
Er stellt 9 Tools bereit, darunter search_stops, get_stops_around_location, get_stop_realtime, find_routes_between, get_route_static.
Welche Art von Daten kann ich über die Tools abrufen?
Du kannst nach Haltestellen suchen, Haltestellen in der Nähe eines Standorts finden, Echtzeit-Ankünfte abrufen, Routen zwischen Haltestellen planen und Live-Fahrzeugpositionen anzeigen.