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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.
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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.
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 tools 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 uses open data APIs — no authentication required.
Connect SubwayInfo NYC to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
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