File size: 6,809 Bytes
c3df0c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 | # 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. **π Search Locations** - Find locations and view their coordinates
2. **π€οΈ Current Weather** - Get current conditions with emoji formatting
3. **π
Weather Forecast** - View multi-day forecasts with adjustable days slider
4. **β οΈ Weather Alerts** - Check for severe weather warnings
5. **βΉοΈ 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
```bash
# 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`:
```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. β
`search_locations_tool` - Search locations by name
2. β
`get_current_weather` - Get current conditions
3. β
`get_weather_forecast` - Get daily forecast
4. β
`get_hourly_forecast` - Get hourly forecast
5. β
`get_weather_alerts` - Check for alerts
### All 2 Resources Converted
1. β
`weather://current/{location}` - Current weather resource
2. β
`weather://forecast/{location}` - Forecast resource
### All 6 Prompts Converted
1. β
`weather-analysis` - Comprehensive analysis template
2. β
`travel-advisory` - Travel comparison template
3. β
`severe-weather-monitor` - Severe weather monitoring template
4. β
`outdoor-activity-planner` - Activity planning template
5. β
`weather-comparison` - Multi-location comparison template
6. β
`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/
βββ gradio_app.py β NEW: Gradio MCP application
βββ server.py (FastMCP server - still available)
βββ tools.py (Shared logic)
βββ resources.py (FastMCP resources - parallel in gradio_app.py)
βββ prompts.py (FastMCP prompts - parallel in gradio_app.py)
βββ api_client.py (Shared)
βββ location_resolver.py (Shared)
βββ models.py (Shared)
βββ constants.py (Shared)
βββ config.py (Shared)
βββ __main__.py (Updated to support --gradio)
docs/
βββ gradio-app-guide.md β NEW: Comprehensive guide
CLAUDE.md (Updated with Gradio info)
pyproject.toml (Updated with Gradio deps)
```
## Testing Checklist
β
All tools return JSON strings for MCP compatibility
β
All resources use proper URI templates
β
All prompts return formatted strings
β
Web UI has proper error handling
β
MCP endpoint is properly exposed
β
Dependencies installed via `uv sync`
β
Code follows existing style (PEP 8, 88 chars)
β
Async/await properly used throughout
β
Type hints present on all functions
β
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
|