# nexrad-mcp

> nexrad-mcp — gm2211-nexrad-mcp. Use this tool when you need to analyze detailed weather radar data, such as reflectivity, velocity, and correlation coefficient, to inform decisions or research. It enables querying of raw NEXRAD Level II dual-pol radar data at any point, providing decoded volume data for in-depth examination. Ideal for use cases requiring precise weather analysis, such as meteorological research, storm tracking, or climate modeling.

Canonical page: https://skillsregistry.net/skills/gm2211-nexrad-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gm2211-nexrad-mcp

## Description

Enables AI clients to query raw NEXRAD Level II dual-pol radar data at any point, decoding actual volume data for detailed analysis like reflectivity, velocity, and correlation coefficient.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ngyhh9nhbq)
- **Repository:** <https://github.com/gm2211/nexrad-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": "gm2211-nexrad-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gm2211-nexrad-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gm2211-nexrad-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
