MBTA MCP Server
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- AlicenseAqualityBmaintenanceEnables AI assistants to access real-time and scheduled public transit data, including routes, stops, departures, and service alerts, across multiple US metropolitan areas.5MIT
- AlicenseNot gradedqualityBmaintenanceEnables real-time access to Boston MBTA transit data (subway, bus, commuter rail, etc.) via the MBTA v3 API.188 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables local AI clients to search Houston METRO routes, stops, nearby stops, realtime arrivals, and service alerts through natural language.MIT
- FlicenseAqualityCmaintenanceProvides read-only access to live Bay Area transit data, including routes, stops, real-time departures, vehicle positions, and service alerts, for use by large language models.6-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.1-
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to query live Transport for London data, including service status, arrivals, journey planning, bike points, crowding, and fares.1MIT
TDQS
Scored across 32 tools
Most tools have distinct purposes, but some overlap exists (e.g., mbta_get_vehicles and mbta_get_vehicle_positions, multiple alert tools). Descriptions help differentiate, but slight ambiguity remains.
All tools follow a consistent mbta_verb_noun pattern (e.g., mbta_get_predictions, mbta_list_all_alerts). No style mixing; very predictable.
32 tools is high, but the MBTA domain is complex, covering alerts, predictions, schedules, facilities, vehicles, etc. The number is justified, though slightly above ideal.
The tool set comprehensively covers transit operations: real-time data, predictions, schedules, routes, stops, facilities, alerts, and trip planning. No obvious gaps for common use cases.