MBTA MCP Server
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Alternatives to MBTA MCP Server
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Related Servers
- AlicenseAqualityCmaintenanceEnables 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 gradedqualityCmaintenanceEnables real-time access to Boston MBTA transit data (subway, bus, commuter rail, etc.) via the MBTA v3 API.279 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to answer Boston transit questions from live public data: upcoming MBTA departures and service alerts, nearest Bluebikes bikes and docks, nearby stops and stations, and door-to-door trip options across walking, biking, and transit. Every result reports its sources and as-of time, and the server is read-only.46 PyPIMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to retrieve live transit departures, vehicle positions, and service alerts for San Francisco Bay Area transit operators via the regional 511.org open-data API.338 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables local AI clients to search Houston METRO routes, stops, nearby stops, realtime arrivals, and service alerts through natural language.MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to query live public transport status, alerts, line maps and vehicle positions across worldwide networks through tools such as search, network_status, line_status, disruptions, airport and vehicles_near.MIT
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.