Enables AI agents to plan trips by searching flights, accommodations, and activities, and managing itineraries collaboratively with role-based permissions.
Enables 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.
Enables automated multi-agent content generation, trend analysis, and travel route planning with live web search, Google Maps integration, and publishing to Google Docs and Gmail.
Enables LLMs to perform travel-related tasks by interacting with Google Maps and travel planning services including location search, place details, and travel time calculations.
Coordinates flights, hotels, events, weather, currency, and traffic data through a single MCP server, enabling comprehensive trip planning via natural language prompts.
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.