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Glama

Cox's Bazar AI Itinerary MCP Server

by code4mk

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription
generate_itineraryGenerate day-by-day itinerary based on number of days, temperature forecast, and start date
generate_detailed_itineraryGenerate detailed itinerary with budget and interests
suggest_activitiesSuggest activities based on weather conditions

Resources

Contextual data attached and managed by the client

NameDescription
resource_current_weatherCurrent weather conditions for Cox's Bazar with today's forecast.
resource_weather_forecastDetailed 7-day weather forecast for Cox's Bazar.
resource_temperature_summaryQuick temperature summary for the next 3 days in Cox's Bazar.

Tools

Functions exposed to the LLM to take actions

NameDescription
cox_ai_itinerary

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_suggestions

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

MCP directory API

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