# ocean-mcp

> ocean-mcp — oceanmodeling-ocean-mcp. Use this tool when you need to manage and deploy MCP servers for coastal oceanography applications, solving problems related to data management and analysis in marine environments. It provides a git-based interface for version control and collaboration, accepting input from oceanographic data sources and outputting managed server configurations. Ideal for use cases involving coastal research, monitoring, and modeling, where reliable and efficient server management is crucial.

Canonical page: https://skillsregistry.net/skills/oceanmodeling-ocean-mcp  
JSON: https://api.skillsregistry.net/v1/skills/oceanmodeling-ocean-mcp

## Description

MCP servers for coastal oceanography

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/oceanmodeling/ocean-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": "oceanmodeling-ocean-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oceanmodeling-ocean-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oceanmodeling-ocean-mcp/pull`

---
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