What can you do with this server?

This MCP server provides AI-powered travel planning tools specifically for Cox's Bazar, Bangladesh, combining weather data with intelligent itinerary generation. Capabilities: * Generate AI-powered travel itineraries - Create detailed multi-day trip plans by specifying trip duration and start date (supports flexible formats like "2025-01-15", "15 Jan 2025", or "today"). The system automatically fetches daily temperature forecasts and generates comprehensive itineraries. * Get weather-based activity suggestions - Receive personalized activity recommendations tailored to specific temperature conditions and time of day (morning, afternoon, or evening). * Access weather forecasts - Retrieve temperature and detailed weather information for informed travel planning. * Use pre-configured travel prompts - Leverage built-in prompts for consistent and streamlined itinerary generation workflows.

How do I use Cox's Bazar AI Itinerary MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Cox's Bazar AI Itinerary MCP Server generate a 3-day itinerary for Cox's Bazar with beach activities" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Production Ready MCP Boilerplate

Cox's Bazar AI Itinerary MCP Server

A Model Context Protocol (MCP) server that provides travel planning tools and weather information for Cox's Bazar, Bangladesh.

Features

Weather Tools: Get temperature forecasts and detailed weather information
Itinerary Tools: Generate AI-powered travel itineraries
Travel Prompts: Pre-configured prompts for travel planning

Getting Started

uv sync

Usage

Run Inspector Tool

Need node version > 20.x.x

./scripts/run-inspector.sh

Run as installed command

This is serve the mcp server with auto-reload feature.

./scripts/run-mcp-server.sh

Requirements

Python 3.13+

Project Structure

. ├── src/ │ └── mcp_server/ │ ├── __init__.py │ ├── server.py # Main server entry point │ ├── mcp_instance.py # MCP instance configuration │ ├── models/ # Pydantic models and schemas │ │ ├── __init__.py │ │ └── itinerary_models.py # Itinerary data models │ ├── components/ # MCP components │ │ ├── __init__.py │ │ ├── tools/ # MCP tools │ │ │ ├── __init__.py │ │ │ ├── auth_additional.py # Additional authentication tool │ │ │ └── itinerary.py # Travel itinerary tools │ │ ├── resources/ # MCP resources │ │ │ ├── __init__.py │ │ │ └── weather.py # Weather data resources │ │ └── prompts/ # MCP prompts │ │ ├── __init__.py │ │ └── travel_prompts.py # Travel planning prompts │ ├── config/ # Configuration modules │ │ ├── auth_provider.py # Authentication provider │ │ └── custom_routes.py # Custom routes configuration │ ├── core/ # Core functionality │ │ ├── __init__.py │ │ ├── prompts/ │ │ │ ├── __init__.py │ │ │ └── travel.py # Travel prompt handlers │ │ └── services/ │ │ └── itenerary_service.py # Itinerary business logic │ └── utils/ # Utilities │ ├── __init__.py │ ├── elicitation.py # Elicitation utilities │ ├── get_weather_forecast.py # Weather forecast utilities │ └── helpers.py # Helper functions ├── scripts/ # Shell scripts │ ├── run-inspector.sh # Run MCP inspector │ └── run-mcp-server.sh # Run server script ├── tests/* # Test directory (unit, integration, fixtures) ├── _docs/* # Documentation files ├── Dockerfile # Docker configuration ├── glama.json # Glama configuration ├── pytest.ini # Pytest configuration ├── README.md # Project documentation ├── LICENSE # MIT License ├── pyproject.toml # Project configuration and dependencies └── uv.lock # Dependency lock file

Connect to Claude Desktop

Option 1: Local Development (without Docker)

Add this configuration to your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{ "mcpServers": { "coxs-bazar-itinerary-mcp": { "command": "uv", "args": [ "--directory", "/Users/code4mk/Documents/GitHub/gumpper-group/mcp-explore/mcp-server-python-template", "run", "mcp-server" ] } } }

Option 2: Using Docker

First, build the Docker image:

docker build \ --platform=linux/amd64 \ --build-arg PYTHON_VERSION=3.12-slim \ -t cox-mcp-server .

Then add this configuration to your Claude Desktop config file:

{ "mcpServers": { "coxs-bazar-itinerary-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "cox-mcp-server" ] } } }

Option 3: Using uvx (Run directly from GitHub)

Add this configuration to your Claude Desktop config file:

{ "mcpServers": { "coxs-bazar-itinerary-mcp": { "command": "uvx", "args": [ "--from", "git+https://github.com/code4mk/coxs-bazar-itinerary-mcp-server.git", "mcp-server" ] } } }

License

MIT

Cox's Bazar AI Itinerary MCP Server

Production Ready MCP Boilerplate

Cox's Bazar AI Itinerary MCP Server

Features

Getting Started

Usage

Run Inspector Tool

Run as installed command

Requirements

Project Structure

Connect to Claude Desktop

Option 1: Local Development (without Docker)

Option 2: Using Docker

Option 3: Using uvx (Run directly from GitHub)

License

Resources

Tools

Latest Blog Posts

MCP directory API