๐ŸŒŠ MCP Weather Integration - Implementation Summary

โœ… Successfully Implemented

1. MCP Weather Server (mcp_weather_server.py)

2. MCP Client Library (shared/mcp_weather_client.py)

3. Weather Tools Integration (shared/assistant_tools_weather.py)

4. Assistant Integration

5. Dependencies and Environment

๐ŸŽฏ Key Features Delivered

Weather-First Yacht Reservations

MCP Architecture Benefits

Azure and Azure OpenAI Integration

๐Ÿ”„ Workflow Implementation

New Veta Workflow

  1. Customer requests yacht reservation
  2. Veta checks yacht availability and pricing (existing functionality)
  3. ๐ŸŒฆ๏ธ WEATHER CHECK - Veta uses MCP weather tools
  4. Weather presentation to client - Formatted, friendly information
  5. Client confirmation - Client must agree to weather conditions
  6. Reservation creation - Only after weather approval

Example Weather Integration

Customer: "I'd like to book yacht #200 for tomorrow"
Veta: "Let me check availability and weather conditions..."

[Checks yacht availability - existing functionality]
[Uses MCP weather tools for tour location]

Veta: "๐ŸŒŠ Weather Information for Your Yacht Tour Location ๐ŸŒŠ
๐Ÿ“ Coordinates: 25.7617, -80.1918

=== Weather Forecast ===

Today:
  Temperature: 78ยฐF
  Conditions: Partly Cloudy
  Details: Partly cloudy with light winds

Tonight:
  Temperature: 72ยฐF
  Conditions: Clear
  
The weather looks great for your yacht tour! Are you comfortable proceeding with these conditions?"

Customer: "Yes, that sounds perfect!"
Veta: "Excellent! I'll create your reservation..."

๐Ÿ› ๏ธ Technical Architecture

Azure Functions (Veta Assistant)
    โ†“ calls weather tools
Weather Tools (assistant_tools_weather.py)
    โ†“ uses MCP client  
MCP Weather Client (mcp_weather_client.py)
    โ†“ JSON-RPC over stdio
MCP Weather Server (mcp_weather_server.py)
    โ†“ HTTP requests
National Weather Service API (api.weather.gov)

๐Ÿงช Testing Status

โœ… All tests passing:

๐Ÿš€ Ready for Production

The MCP weather integration is fully implemented and ready for use:

  1. All components developed and tested
  2. Proper error handling and fall backs implemented
  3. Azure Functions compatible with existing backend
  4. Weather checking workflow enforced for Veta
  5. Client-friendly presentation of weather information
  6. Contoso Islands locations predefined and ready

๐ŸŽ‰ Success Criteria Met

โœ… MCP Server Built - Complete weather MCP server with National Weather Service API
โœ… Tool Integration - Veta can call weather tools using MCP protocol
โœ… Existing Use Cases Maintained - All current assistant functionality preserved
โœ… Weather Before Reservations - Mandatory weather checking implemented
โœ… Azure/Azure OpenAI Based - No Claude Desktop dependencies
โœ… Minimal Changes - Only necessary modifications made
โœ… Proper MCP Client-Server Architecture - Standard MCP implementation

The implementation delivers all requested functionality with a proper MCP architecture that provides standardized tool discovery, protocol-based communication, server capability introspection, and easier tool integration compared to direct API integration.

The Contoso AI Apps Backend now has full MCP weather integration ready for yacht tour customers! ๐Ÿšขโ›