# ocean-mcp

> Use this tool when you need to manage and deploy MCP servers for coastal oceanography applications, solving problems related to ocean data management and analysis. It provides a git-based interface for version control and collaboration, accepting oceanography data and models as inputs and producing deployable MCP servers as outputs. Ideal for use in research and development contexts where coastal oceanography data needs to be efficiently managed and analyzed.

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

## Description

MCP servers for coastal oceanography

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

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