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Real-time NYC transit data covering subway, bus, ferry, commuter rail (LIRR, Metro-North), and Citibike. Includes arrivals, service alerts, trip planning, station info, and planned work schedules.
Chat with AI and run tools instantly.
Domain knowledge for SubwayInfo NYC — workflow patterns, data models, and gotchas for your AI agent.
Wide-ranging real-time transit data for New York City's entire public transportation network — MTA subway, buses, NYC Ferry, LIRR, Metro-North, and Citibike. Provides live arrivals, service alerts, trip planning, and station/stop information.
Subway: Get real-time train arrivals at any station (by ID or name like "Times Square"), line status, planned work schedules, service alerts, station search, detailed station info, and trip planning between stations. Filter by line, direction (N=uptown, S=downtown), and alert severity.
Bus: Live bus arrivals at stops, route information, service alerts, and stop search by name/route/borough. Supports filtering by route (e.g. "M1", "BX12"), direction, and severity.
Ferry: NYC Ferry arrivals at landings, route listings, service alerts, and landing search. Filter by route code (e.g. "ER" for East River) and direction (inbound/outbound relative to Manhattan).
Commuter Rail: LIRR and Metro-North departures, service alerts, station search, and detailed station info including accessibility, parking, and zone data. Filter by system (LIRR/MNR), branch, and direction.
Citibike: Station availability (bikes, docks, e-bikes), station search, and borough-level availability summaries. Filter by minimum bikes/docks available.
Natural Language Q&A: Ask freeform transit questions like "When is the next 1 train at Times Square?" or "How do I get to JFK?" with optional location context for personalized answers.
Stations and stops accept both IDs and natural names. Subway directions are N (uptown/Bronx-bound) and S (downtown/Brooklyn-bound). All arrival data is real-time from MTA feeds. The system also exposes prompts for common transit scenarios and a resource with system-wide status.
This server uses the MCP protocol with a live tool list. Tools are discovered when your MCP client connects (often after authentication), so they are not enumerated on this public page. Open Studio or connect from your client to see the tools available to your workspace.
Real-time NYC transit data covering subway, bus, ferry, commuter rail (LIRR, Metro-North), and Citibike. Includes arrivals, service alerts, trip planning, station info, and planned work schedules. It provides MCP tools that your client discovers when it connects (this page may not list every tool name) that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/subwayinfo-nyc-mcp. Authentication is handled automatically.
SubwayInfo NYC is a remote MCP server. The live tool list is supplied by the server when your MCP client connects, so the count is not fixed on this public page. After you connect in MCPBundles Studio or your client, you will see the tools your session can call. A SKILL.md is still included to guide your agent on capabilities and workflows.
SubwayInfo NYC uses open data APIs — no authentication required.
Connect SubwayInfo NYC to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/subwayinfo-nyc-mcpThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
SubwayInfo NYC and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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Operate SubwayInfo NYC? You can take over the listing's metadata.
Take over this listing's metadata — name, description, category, logo, website, contact email, and skill content. Verification is a 6-digit code we email to one of the maintainer addresses your server already publishes in /.well-known/security.txt or /.well-known/mcpbundles.json. Free, takes about a minute.