LetsFG — Flights & Hotels
Search and book flights and hotels: hundreds of airlines, plus bookable hotel rates.
作者による説明(英語の原文)
NJ Transit rail, bus and PATH schedules via MCP (scheduled, plus live PATH)
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://nj-transit-mcp.vercel.app/mcpターミナルでこれを実行します
claude mcp add --transport http nj-transit https://nj-transit-mcp.vercel.app/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"nj-transit": {
"url": "https://nj-transit-mcp.vercel.app/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"nj-transit": {
"type": "http",
"url": "https://nj-transit-mcp.vercel.app/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://nj-transit-mcp.vercel.app/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月6日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
search_stationsFind stations/stops by name. system: 'nj_transit' (rail + light rail), 'nj_bus' (NJ Transit bus street stops), 'path', or 'all'. 'all' includes bus, so a first 'all' search downloads the 50 MB bus GTFS once; use system='nj_bus' for bus-only searches. Returns station/stop IDs to u
next_departuresNext departures from a station/stop (name or stop ID). system 'nj_transit': rail + light rail, scheduled by default, live delays when NJT credentials are configured. system 'nj_bus': NJ Transit bus, SCHEDULED only in v1.2 (BUSDATA live not enabled). system 'path': live PATH arriv
trip_betweenNext NJ Transit trains/buses from origin to destination on the SAME trip (no transfers). Returns departure, arrival and duration. Times ET. system: 'nj_transit' (default, rail + light rail) or 'nj_bus' (bus, scheduled only in v1.2).
linesAll lines/routes. NJ Transit: 17 rail + light-rail routes. NJ bus: 263 routes (short_name is the bus number; long names are empty in the bus feed, use trip headsigns for destinations). PATH: 4 daytime routes.
service_alertsService alerts. NJ Transit alerts require NJT credentials (see server_status for how to enable); PATH has no separate alerts feed in v1, so PATH alerts are reported as unavailable, not invented.
server_statusWhat data this server is actually serving right now: GTFS date range and counts, whether live NJ data is enabled, PATH feed age. Use this to answer 'is this live or scheduled?' honestly.
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月10日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント mir-quadri で確認済みです
コードの最終更新:7 日前
このリポジトリはまだGitHubから読み取っていません
104ミリ秒で応答(HTTP 200)
サインイン不要
6件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック4項目のうち4項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は7 日前、最新バージョン(1.3.0)がレジストリに届いたのは8 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:LetsFG — Flights & Hotels, Google Maps MCP Server, Mu
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Search and book flights and hotels: hundreds of airlines, plus bookable hotel rates.
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
News, web search, mail, markets, weather, places, files, calendar, contacts. 67 tools, one endpoint.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
A Model Context Protocol server that gives any MCP-compatible AI (Claude, Gemini CLI, ChatGPT, Cursor, VS Code, …) real NJ Transit and PATH schedules instead of guessed ones.
The consumer Gemini app/web chat has no live-transit tool and no MCP support — it answers from training data and web snippets, which is why a "live schedule" request fails or goes stale. An MCP client that can call *this* server gets the answer from a feed at query time.
Important, verified distinction in v1:
| System | v1 data | Key needed? |
|---|---|---|
| NJ Transit rail + light rail (17 routes) | Scheduled departures from official GTFS rail_data.zip | No |
| NJ Transit live delays / cancellations | GTFS-Realtime TripUpdates + Alerts via raildata.njtransit.com | Yes — free registration (see below) |
| PATH (Newark ↔ NYC) | Live arrivals from GTFS-Realtime, ~5 s updates | No |
Every response labels its data_source: scheduled, live_gtfs_rt, or an explicit note. Nothing is ever presented as "live" when it is only scheduled.
Note on "subways": NJ Transit has no subway. Its subway-like services are the light-rail lines in this same file — Hudson-Bergen (HBLR), Newark Light Rail (NLR), River Line (RVLN) — plus PATH, which is the NJ↔NYC rapid-transit system. Both are in v1.
search_stations(query, system="all") — find station/stop IDs. system: nj_transit, nj_bus, path, all.next_departures(station, limit=10, system="nj_transit", line?, towards?) — next departures. station can be a name or stop ID. Ambiguous names (e.g. "Secaucus" = Upper vs Lower Level, "PORT AUTHORITY BUS TERMINAL" = 4 stop IDs) return candidates instead of guessing. Use system="nj_bus" for bus (scheduled only in v1.3).trip_between(origin, destination, limit=5, system="nj_transit") — next same-trip NJ Transit trains/buses, with departure, arrival, duration. Add system="nj_bus" for bus.lines(system="all") — all routes (285 total: 17 rail + 263 bus + 5 PATH).service_alerts(system="all") — NJ rail alerts when credentials are set; bus and PATH alerts reported as not available, never invented.server_status() — GTFS date range/counts for rail and bus, whether live NJ data is on, PATH feed age. Ask this when you need to know if an answer is live or scheduled.Run with python test_client.py (in-memory FastMCP client) and over Streamable HTTP on port 8123. Both passed, all 6 tools listed.
server_status: GTFS Sep 15 2026 – Mar 13 2027, 230 stops, 17 routes, 6,197 trips; PATH feed live at 09:16:39 ET, 54 entities.cd ~/workspace/mcp-servers/nj-transit
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt .venv/bin/python server.py # stdio (default) .venv/bin/python server.py --transport http --port 8000 # remote
GTFS is downloaded on first run to data/rail_data.zip and refreshed if older than 24 h. No credentials are logged; the NJ token (if set) is cached in data/.njt_token.json (0600) for the day, because getToken is limited to 10 calls/day (TripUpdates itself is unlimited once you have a token).
export NJT_USERNAME="your-username"
export NJT_PASSWORD="your-password"
server_status — nj_live_enabled should be true, and departures will carry data_source: "live_gtfs_rt" with delay_min / status when the feed reports one. Without these variables the server still works, scheduled-only.Caveat to verify on first live run: the GTFS-Realtime trip_id matching against GTFS trip_id is implemented defensively (exact match); if NJ's RT feed uses a different trip-ID scheme, live departures will stay scheduled and server_status / live_info.live_trips_in_feed will show the feed was reached but did not match. That is the one unverified piece in v1, because it cannot be tested without credentials.
~/.gemini/settings.json (or .gemini/settings.json in a project):
{
"mcpServers": { "nj-transit": { "command": "/path/to/mcp-servers/nj-transit/.venv/bin/python", "args": ["/path/to/mcp-servers/nj-transit/server.py"], "env": { "NJT_USERNAME": "", "NJT_PASSWORD": "" }, "timeout": 30000 } } }
Or: gemini mcp add --transport stdio nj-transit -- /path/to/.venv/bin/python /path/to/server.py Then ask: *"Next NJ Transit train from Newark Penn to New York Penn?"* — Gemini CLI will call trip_between.
The consumer Gemini app (gemini.google.com / mobile app) does not support MCP as of this build, so this server cannot be plugged into that app directly. Gemini CLI, Gemini API / ADK (MCPToolset with StdioServerParameters), and third-party Gemini-API clients can.
Stdio, same command/args as above, in claude_desktop_config.json under mcpServers (or the client's equivalent MCP settings).
ChatGPT cannot use a local stdio server. It needs a public HTTPS URL with Streamable HTTP. This server is now free and public, no auth required:
https://nj-transit-mcp.vercel.app/mcp, Authentication: None.Public deployment status (2026-10-31, 17:35 ET): LIVE and FREE on Vercel — the bearer token was removed, the production deployment (main, commit af9e8a6, Public submission pack v1.3) redeployed Ready, and POST /mcp with no Authorization header was verified returning a 200 MCP initialize response. Source: https://github.com/mir-quadri/nj-transit-mcp (public). Official MCP Registry: io.github.mir-quadri/nj-transit-mcp v1.3.0, status active (published 2026-11-01). Note: in free mode there is no /health route — GET / and GET /health return 404; GET /mcp returns 405 (POST only). Rate limit: 60 requests/minute per IP per instance.
Same 6 tools, bus provider only. Source: official public GTFS https://www.njtransit.com/bus_data.zip — 263 routes, 16,563 stops, 33,287 trips, 1,776,403 stop_times rows, service Oct 20 2026–Apr 17 2027 (calendar_dates only, same quirk as rail: a trip runs iff its service_id is listed for that date). Use system='nj_bus' for search_stations, next_departures, trip_between (add system='nj_bus'), and lines. Bus stops are street stops, so ambiguous names (e.g. "PORT AUTHORITY BUS TERMINAL" = 4 stop IDs) return candidates instead of guessing — use a stop ID when in doubt.
Honest limits: bus departures are scheduled only in v1.2. BUSDATA live delays/alerts are NOT enabled (separate API, not verified), so nothing bus is ever labelled live. Because stop_times is 1.7M rows, the server streams it per query instead of loading it into memory (shapes.txt is never read): a bus departure query takes ~4–5 s locally, and the first bus query after a cold start takes ~5 s to load metadata. Verified locally 2026-10-28 ~20:48 ET: Port Authority stop 3511 → 20:48 bus 119, 190, 320; Newark Penn bus stop 43283 → 21:28/22:28/23:28 bus 108 to New York; trip 108 Clifton Ave at E 7th Ave → Pavillion Apartments Tower South 21:15 → 21:18. Rail tools are unchanged (17 routes, 285 lines total across rail + bus + PATH).
server.py is designed so each is one new provider (GTFS + GTFS-Realtime URLs + station map), not a rewrite.trip_between is same-trip only./mcp endpoint (definitive verification, see above).developer.njtransit.com/doc/NJTRANSIT_Rail_GTFSRT_V1.pdf — getToken / getGTFS / getAlerts / getTripUpdates / getVehiclePositions; 10 token calls/day, RT calls unlimited.datasource.njtransit.com — BUSDATA, RailData, GTFS-BUS, GTFS-RAIL catalog.https://www.njtransit.com/rail_data.zip (also listed by Mobility Database, Sep 15 2026 – Mar 13 2027).https://www.njtransit.com/bus_data.zip (263 routes, 16,563 stops, Oct 20 2026 – Apr 17 2027, checked 2026-10-28).https://path.transitdata.nyc/gtfsrt (community feed, ~5 s refresh; station IDs verified against the official PATH GTFS static feed).