Server detail
WaveMaster AI is an MCP server that delivers real-time surf forecasts through the Model Context Protocol. It pulls current conditions, weekly rankings, and optimal session times for surf spots worldwide, so you can integrate surf data directly into your AI workflows or applications. Since it follows the MCP standard, you can use it with any MCP-compatible client (like Claude Desktop, custom agents, or development tools) without building a separate API integration layer. The server exposes structured endpoints for spot conditions, day-of-week rankings, and global spot discovery, making it easy to chain surf data with other tools or logic in your own code. For developers building travel apps, surf communities, or just curious about how to enrich AI conversations with live environmental data, this is a practical example of bridging niche APIs with the extensibility MCP enables. It’s community-maintained and available on GitHub, so contributions and feedback are welcome.
An MCP server that exposes WaveMaster AI capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
wavemaster-ai
Call the MCP capabilities provided by WaveMaster AI and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"WaveMaster AI": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page