# Surf (Stormglass)

> Use this tool when you need to interact with surf-related data and services, such as building surf forecasting tools or wave analysis applications, to leverage a Python-based interface with flexible deployment options. It solves problems related to integrating surf data into larger systems, providing a seamless way to validate and manage surf-related information. The tool accepts environment variable configurations and outputs validated data, making it ideal for developers working with MCP's ecosystem and Python 3.10+.

Canonical page: https://skillsregistry.net/skills/ravinahp-surf  
JSON: https://api.skillsregistry.net/v1/skills/ravinahp-surf

## Description

This MCP implementation, developed by Ravina Patel, provides a Python-based interface for interacting with surf-related data and services. It leverages the MCP library and environment variable configuration to enable flexible deployment. The implementation is designed for Python 3.10+ and uses modern dependencies like Pydantic for data validation. It's well-suited for developers building surf forecasting tools, wave analysis applications, or integrating surf-related data into larger systems that utilize MCP's ecosystem.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ravinahp-surf)
- **Repository:** <https://github.com/ravinahp/surf-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ravinahp-surf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ravinahp-surf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ravinahp-surf/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt