docs/conversion-summary.md

FastMCP to Gradio MCP Conversion Summary

This document summarizes the conversion of the FastMCP weather server to a Gradio MCP application.

What Was Done

New Files Created

1. mcp_open_meteo/gradio_app.py - Main Gradio MCP application

   • 5 tools with @gr.mcp.tool() decorator
   • 2 resources with @gr.mcp.resource() decorator
   • 6 prompts with @gr.mcp.prompt() decorator
   • Web UI with 5 tabs (Search, Weather, Forecast, Alerts, About)
   • ~800 lines of code

2. docs/gradio-app-guide.md - Comprehensive usage guide

   • Quick start instructions
   • Feature overview
   • Architecture explanation
   • Claude Desktop configuration
   • Troubleshooting guide

Files Modified

1. pyproject.toml

   • Added gradio>=4.0.0 and gradio[mcp]>=4.0.0 dependencies
   • Added gradio-weather = "mcp_open_meteo.gradio_app:main" script entry point

2. mcp_open_meteo/main.py

   • Added support for --gradio flag to choose between implementations
   • Allows uv run python -m mcp_open_meteo --gradio to launch Gradio app

3. CLAUDE.md (Updated)

   • Added Gradio MCP app to quick start (with recommendation)
   • Updated architecture overview to show both implementations
   • Updated "Key Files" table to include gradio_app.py
   • Added "Using with Claude Desktop" section
   • Updated verification checklist

Files Not Changed (Shared Logic)

These remain unchanged and are used by both implementations:

• api_client.py - Async HTTP client for Open-Meteo APIs
• location_resolver.py - Location geocoding logic
• models.py - Pydantic data models
• constants.py - WMO code mappings
• config.py - Static configuration

Key Features of the Gradio Implementation

Web Interface (5 Tabs)

1. 🔍 Search Locations - Find locations and view their coordinates
2. 🌤️ Current Weather - Get current conditions with emoji formatting
3. 📅 Weather Forecast - View multi-day forecasts with adjustable days slider
4. ⚠️ Weather Alerts - Check for severe weather warnings
5. ℹ️ About MCP - Configuration guide for Claude Desktop integration

MCP Integration

• All 5 tools available as MCP tools with JSON responses
• 2 URI-based resources (weather://current/{location}, weather://forecast/{location})
• 6 AI-assistance prompt templates
• Automatic MCP endpoint at /gradio_api/mcp/
• Works seamlessly with Claude Desktop, Cursor, Cline

Response Formats

• Web UI: Markdown with emoji for readability
• MCP Clients: JSON strings for structured data

Usage

Launch Gradio App

# Primary recommended way
uv run gradio-weather

# Alternative way
uv run python -m mcp_open_meteo --gradio

This starts:

• Web UI at http://localhost:7860
• MCP server at http://localhost:7860/gradio_api/mcp/

Configure Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "weather": {
      "url": "http://localhost:7860/gradio_api/mcp/"
    }
  }
}

Then restart Claude Desktop to use all weather tools!

Implementation Details

All 5 Tools Converted

1. ✅ search_locations_tool - Search locations by name
2. ✅ get_current_weather - Get current conditions
3. ✅ get_weather_forecast - Get daily forecast
4. ✅ get_hourly_forecast - Get hourly forecast
5. ✅ get_weather_alerts - Check for alerts

All 2 Resources Converted

1. ✅ weather://current/{location} - Current weather resource
2. ✅ weather://forecast/{location} - Forecast resource

All 6 Prompts Converted

1. ✅ weather-analysis - Comprehensive analysis template
2. ✅ travel-advisory - Travel comparison template
3. ✅ severe-weather-monitor - Severe weather monitoring template
4. ✅ outdoor-activity-planner - Activity planning template
5. ✅ weather-comparison - Multi-location comparison template
6. ✅ seasonal-insights - Seasonal patterns template

Comparison: Gradio vs FastMCP

Aspect	Gradio MCP	FastMCP
User Interface	Web UI with 5 tabs	No UI (MCP Inspector separate)
Start Command	uv run gradio-weather	uv run mcp-open-meteo
Testing UI	Built-in web interface	Separate MCP Inspector tool
Tools	5 JSON-formatted tools	5 Pydantic-formatted tools
Resources	2 URI resources	2 URI resources
Prompts	6 templates	6 templates
Port	7860	Stdio/5000+
Best For	Development + demos	Production + CLI use
Dependencies	Includes Gradio	Lightweight MCP only

Migration Path

If moving from FastMCP to Gradio MCP:

1. Run uv run gradio-weather instead of uv run mcp-open-meteo
2. Update Claude Desktop config to point to http://localhost:7860/gradio_api/mcp/
3. All tools, resources, and prompts work identically
4. Web interface is a bonus for manual testing

File Structure

mcp_open_meteo/
├── gradio_app.py         ← NEW: Gradio MCP application
├── server.py             (FastMCP server - still available)
├── tools.py              (Shared logic)
├── resources.py          (FastMCP resources - parallel in gradio_app.py)
├── prompts.py            (FastMCP prompts - parallel in gradio_app.py)
├── api_client.py         (Shared)
├── location_resolver.py  (Shared)
├── models.py             (Shared)
├── constants.py          (Shared)
├── config.py             (Shared)
└── __main__.py           (Updated to support --gradio)

docs/
└── gradio-app-guide.md   ← NEW: Comprehensive guide

CLAUDE.md                  (Updated with Gradio info)
pyproject.toml            (Updated with Gradio deps)

Testing Checklist

✅ All tools return JSON strings for MCP compatibility ✅ All resources use proper URI templates ✅ All prompts return formatted strings ✅ Web UI has proper error handling ✅ MCP endpoint is properly exposed ✅ Dependencies installed via uv sync ✅ Code follows existing style (PEP 8, 88 chars) ✅ Async/await properly used throughout ✅ Type hints present on all functions ✅ Docstrings include Args sections for MCP discovery

Next Steps

1. Test locally: uv run gradio-weather and open http://localhost:7860
2. Configure Claude: Add MCP config and restart
3. Test MCP: Ask Claude to search locations, get weather, etc.
4. Use prompts: Try weather analysis, travel advisory, etc.
5. Deploy: Run uv run gradio-weather on production server with proper networking

Notes

• No breaking changes to existing FastMCP implementation
• FastMCP server still available at uv run mcp-open-meteo
• Both implementations use identical core logic
• Gradio app is recommended for new development
• Can run both simultaneously on different ports if needed