surf-mcp
Language:
Python
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10
Forks:
1
Surf MCP Server
MCP server for people who surf waves and the web.
Diagram
Video Demo
https://github.com/user-attachments/assets/0a4453e2-66df-4bf5-8366-8538cda366ed
Features
- Fetch tide information for any location using latitude and longitude
- Support for date-specific tide queries
- Detailed tide data including high/low tides and station information
- Automatic time zone handling (UTC)
Prerequisites
- Python 3.x
- Storm Glass API key
Getting Your Storm Glass API Key
- Visit Storm Glass
- Click "Try for Free" or "Sign In" to create an account
- Once registered, you'll receive your API key
Note on API Usage Limits:
- Free tier: 10 requests per day
- Paid plans available:
- Small: 500 requests/day (€19/month)
- Medium: 5000 requests/day (€49/month)
- Large: 25,000 requests/day (€129/month)
- Enterprise: Custom plans available
Choose a plan based on your usage requirements. The free tier is suitable for testing and personal use.
Installation
- Clone the repository:
git clone https://github.com/ravinahp/surf-mcp.git
cd surf-mcp
- Install dependencies using uv:
uv sync
Note: We use uv
instead of pip since the project uses pyproject.toml
for dependency management.
Configure as MCP Server
To add this tool as an MCP server, you'll need to modify your Claude desktop configuration file. This configuration includes your Storm Glass API key, so you won't need to set it up separately.
The configuration file location depends on your operating system:
- MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
Add the following configuration to your JSON file:
{
"surf-mcp": {
"command": "uv",
"args": [
"--directory",
"/Users/YOUR_USERNAME/Code/surf-mcp",
"run",
"surf-mcp"
],
"env": {
"STORMGLASS_API_KEY": "your_api_key_here"
}
}
}
⚠️ IMPORTANT:
- Replace
YOUR_USERNAME
with your actual system username - Replace
your_api_key_here
with your actual Storm Glass API key - Make sure the directory path matches your local installation
Deployment
Building
To prepare the package:
- Sync dependencies and update lockfile:
uv sync
- Build package:
uv build
This will create distributions in the dist/
directory.
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector with this command:
npx @modelcontextprotocol/inspector uv --directory /path/to/surf-mcp run surf-mcp
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
The Inspector provides:
- Real-time request/response monitoring
- Input/output validation
- Error tracking
- Performance metrics
Usage
The service provides a FastMCP tool for getting tide information:
@mcp.tool()
async def get_tides(latitude: float, longitude: float, date: str) -> str:
"""Get tide information for a specific location and date."""
Parameters:
latitude
: Float value representing the location's latitudelongitude
: Float value representing the location's longitudedate
: Date string in YYYY-MM-DD format
Example Response:
Tide Times:
Time: 2024-01-20T00:30:00+00:00 (UTC)
Type: HIGH tide
Height: 1.52m
Time: 2024-01-20T06:45:00+00:00 (UTC)
Type: LOW tide
Height: 0.25m
Station Information:
Name: Sample Station
Distance: 20.5km from requested location
Use Cases
Example #1: Finding the Best Surf Time
You can use this tool to determine the optimal surfing time at your favorite beach & the closest station. Generally, the best surfing conditions are during incoming (rising) tides, about 2 hours before high tide.
Example prompt to Claude:
Note: Different beaches may have different optimal tide conditions based on their specific geography and break type. This tool also provides station distance information which should be considered alongside tide information. (ie. longer station distance means higher change of innacuracy - you can ask Claude for this as well when prompting).
Error Handling
The service includes robust error handling for:
- API request failures
- Invalid coordinates
- Missing or invalid API keys
- Network timeouts