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maintenanceAI-powered travel route planning server with budget estimation, packing suggestions, and food recommendations, using LangChain reactive agent with Tongyi Qwen and local deterministic fallback tools.
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ai.parallel
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"A tool for task summarization and team planning" matching MCP servers:
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- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.1
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to search real-time flight information by departure and arrival airport IATA codes, returning airline, flight number, times, and status via the AviationStack API.
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- FlicenseNot gradedqualityDmaintenanceEnables multi-agent trip planning with coordinated specialized agents for team management, food preferences, and travel recommendations. Integrates Neo4j employee graphs, Postgres data, real-time weather APIs, and country information for comprehensive travel planning.
- FlicenseNot gradedqualityDmaintenanceProvides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.
- AlicenseAqualityCmaintenanceAn MCP server that enables AI assistants to interact with the Netherlands Railways (NS) API for route planning, pricing, and real-time departure information. It provides tools for searching stations, planning trips with connections, and viewing real-time departure boards.31MIT
- AlicenseAqualityAmaintenanceMCP server for Six Flags theme parks — live ride wait times, park hours, show schedules, and day planning.781MIT
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- AlicenseAqualityAmaintenanceA read-only MCP server for OpenStreetMap offering geocoding, routing, route optimization, isochrones, and POI search—requiring no API key and built for AI travel planning.11MIT
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- AlicenseAqualityBmaintenanceA Model Context Protocol server for Toronto Transit Commission (TTC) that exposes subway, streetcar, and bus schedules, real-time arrivals, vehicle positions, and service alerts, plus multi-modal trip planning.1121MIT
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- MIT
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