Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Lviv public transport MCP: stops, timetables, routes, and live vehicle positions. No API key.
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Works in Claude on the web, desktop and mobile:
https://api.lad.lviv.ua/mcpRun this in your terminal
claude mcp add --transport http timetable-api-node https://api.lad.lviv.ua/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"timetable-api-node": {
"url": "https://api.lad.lviv.ua/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"timetable-api-node": {
"type": "http",
"url": "https://api.lad.lviv.ua/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://api.lad.lviv.ua/mcpMenu names can differ slightly by plan and over time.
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Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
get_stop_realtimeReturns live arrivals at a stop: route, destination, vehicle type, minutes until arrival, and each vehicle's position. Use this as the **default tool** when the user asks about arrivals, departures, or the next bus/tram at a specific stop. Requires a numeric stop ID (shown on sto
search_stopsFinds stops by name (Ukrainian or English transliteration, case-insensitive, partial match) and returns each stop's numeric ID, coordinates, and the routes serving it. Use this as the **first step** when the user names a stop or landmark stop (e.g. "Опера", "Rynok", "Головний вок
find_routes_betweenLists the routes from one place to another: which stop to board, where to get off, the direction's destination, stops in between, and the walk at each end — best first, walking counted. Each end is a stop ID (`from_stop_id`) or coordinates (`from_lat` + `from_lng`), e.g. an addre
get_route_staticReturns static route data: name, long name, vehicle type, colour, the ordered stop list for both directions, and the timetable of departures from the first stop (workday, Saturday and Sunday). Use when the user asks which stops a route serves, where it goes, or its scheduled depa
get_route_realtimeReturns every vehicle currently running on a route: position, the destination it is heading to, and its next stop with estimated arrival. `headways` sums up each direction: how many vehicles run, the live gaps between consecutive vehicles in minutes (front to back), and how often
get_disruptionsLists closures, detours and moved stops the city announced that are in force today: affected routes, the streets a detour uses, routes to take instead of a suspended one, reason, dates and source. The GTFS stop lists and timetables do not reflect any of this. Use when the user as
get_stops_around_locationFinds stops near a geographic point, returning each stop's numeric ID, name, coordinates, walking distance, and the routes serving it. Use this as the **first step** when the user gives an address or coordinates and you need stop IDs for `get_stop_realtime` or `find_routes_betwee
get_nearby_vehiclesReturns live vehicles near a point, nearest first, each with its route, destination, and distance. Use when the user asks "what transport is near me right now?" or wants a live map around a location. Narrow with `route` when the user cares about one line; prefer `get_route_realti
get_vehicle_infoReturns details for one vehicle by ID: position, route, destination, license plate, and its upcoming stops with names and estimated arrival times. Use when the user wants to follow a particular vehicle, e.g. "where does this tram go next?" or "when will it reach X?". Vehicle IDs
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account vbhjckfd, which owns the repo
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Read 9 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.8.11) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, LickityClick
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Express-based API for Lviv transport timetable data with a read-only MCP endpoint.
.nvmrc)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.
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. |
nvm use && make test
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.
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
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/.well-known/mcp/server-card.json/robots.txt (non-standard comment hint)Production deployment (see cloudbuild.yaml for Cloud Run) serves REST and MCP from [api.lad.lviv.ua](https://api.lad.lviv.ua). The main site [lad.lviv.ua](https://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.
/mcp flowAn 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;
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
Postman / curl: call a tool on production
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).
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
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