Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.
Wanderlog-mcp is an MCP server that lets LLM agents plan and edit Wanderlog trip itineraries — adding places, hotels, notes, and checklists to any day, managing trip dates, and searching for destinations.
It turns a conversational prompt into a fully built-out travel itinerary with practical details interleaved between each stop.
Provides weather-aware travel planning tools that fetch 3-day forecasts and generate structured itineraries using a multi-agent orchestration system. It exposes specialized agents for weather data and trip planning to any MCP-compliant client.
MCP server for creating day-by-day trip itineraries in SQLite, with a planner agent that uses a Tavily search scout via tool boundaries. Enforces guard rails like rejecting activities on out-of-range days.
Enables managing travel itineraries with CRUD tools for journeys, stops, and plan items, plus weather lookup, integrated with public MCP servers for time and web search.