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surf-mcp

MCP.Pizza Chef: ravinahp

Surf MCP server is a specialized MCP server designed for surfers and ocean enthusiasts to access detailed tide information globally. It fetches tide data based on latitude and longitude, supports queries for specific dates, and provides comprehensive details including high and low tides along with station metadata. The server automatically manages time zones using UTC, ensuring accurate timing for tide events. It requires a Storm Glass API key for data access, supporting various usage tiers from free to enterprise levels. This server enables seamless integration of real-time oceanographic data into AI workflows, enhancing decision-making for surfing and marine activities.

Use This MCP server To

Fetch tide information for any location by coordinates Query tide data for specific dates Retrieve detailed high and low tide data Access station metadata for tide measurements Automatically handle time zones for tide events Integrate real-time tide data into AI workflows Support surfing activity planning with accurate tide info

README

Surf MCP Server

MCP server for people who surf waves and the web.

Diagram

Letter Dot Grid - 5 dpi

Video Demo

SurfMCP.mp4

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

  1. Visit Storm Glass
  2. Click "Try for Free" or "Sign In" to create an account
  3. 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

  1. Clone the repository:
git clone https://github.com/ravinahp/surf-mcp.git
cd surf-mcp
  1. 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:

  1. Replace YOUR_USERNAME with your actual system username
  2. Replace your_api_key_here with your actual Storm Glass API key
  3. Make sure the directory path matches your local installation

Deployment

Building

To prepare the package:

  1. Sync dependencies and update lockfile:
uv sync
  1. 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 latitude
  • longitude: Float value representing the location's longitude
  • date: 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:

Screenshot 2025-01-07 at 12 55 47 PM

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

surf-mcp FAQ

How do I obtain a Storm Glass API key?
Visit stormglass.io, sign up for an account, and get your API key from the dashboard.
What are the API usage limits for the Surf MCP server?
The free tier allows 10 requests per day; paid plans range from 500 to 25,000 requests per day.
Does the Surf MCP server handle time zones automatically?
Yes, it uses UTC to manage time zones for accurate tide timing.
What programming language is required to run the Surf MCP server?
Python 3.x is required to run the server.
Can I query tide data for past or future dates?
Yes, the server supports date-specific tide queries.
Is the Surf MCP server suitable for integrating with AI models like GPT-4 or Claude?
Yes, it provides structured tide data that can be used in AI workflows with models like GPT-4, Claude, and Gemini.
What detailed tide information does the server provide?
It includes high and low tides, tide station information, and precise timing data.
Are there any prerequisites before using the Surf MCP server?
Yes, you need Python 3.x and a valid Storm Glass API key.