# netcdf-mcp

> Use this tool when you need to analyze and understand complex scientific datasets stored in NetCDF files, enabling inspection of structure, variables, and metadata to ensure data quality. It solves problems related to data integrity and readability, providing a clear interface for inputting NetCDF files and outputting detailed information about their contents. This tool is ideal for use in scientific research and data analysis contexts where NetCDF files are commonly used.

Canonical page: https://skillsregistry.net/skills/dogukanteber-netcdf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dogukanteber-netcdf-mcp

## Description

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kg6ejfj1ii)
- **Repository:** <https://github.com/dogukanteber/netcdf-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": "dogukanteber-netcdf-mcp"
    }
  }
}
```

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