Schema | Cox's Bazar AI Itinerary MCP Server

Cox's Bazar AI Itinerary MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
cox_ai_itineraryA	Full workflow: fetch daily temperatures + generate AI itinerary. Uses the registered MCP prompt 'generate_itinerary' for consistency. Args: days: Number of days for the trip start_date: Start date (e.g., "2025-01-15", "15 Jan 2025", "today") Returns: Formatted prompt for AI to generate detailed itinerary
get_activity_suggestionsB	Suggest activities based on temperature and time of day. Args: temperature: Temperature in Celsius time_of_day: "morning", "afternoon", or "evening" Returns: List of suggested activities

Interactive templates invoked by user choice

Name	Description
`generate_itinerary`	Generate day-by-day itinerary based on number of days, temperature forecast, and start date
`generate_detailed_itinerary`	Generate detailed itinerary with budget and interests
`suggest_activities`	Suggest activities based on weather conditions

Contextual data attached and managed by the client

Name	Description
`resource_current_weather`	Current weather conditions for Cox's Bazar with today's forecast.
`resource_weather_forecast`	Detailed 7-day weather forecast for Cox's Bazar.
`resource_temperature_summary`	Quick temperature summary for the next 3 days in Cox's Bazar.

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