# era5-mcp-server

> Use this tool when you need to access and analyze ERA5 climate data using natural language inputs, solving problems such as downloading monthly climate means and inspecting NetCDF files. It takes natural language queries as input and outputs relevant climate data, providing a user-friendly interface to the Copernicus Climate Data Store. Ideal for use cases requiring easy and intuitive access to climate data, such as research and environmental monitoring.

Canonical page: https://skillsregistry.net/skills/swnesbitt-era5-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/swnesbitt-era5-mcp-server

## Description

Enables natural language access to ERA5 climate data from the Copernicus Climate Data Store. Supports downloading monthly means and inspecting NetCDF files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8zz9wyrkv)
- **Repository:** <https://github.com/swnesbitt/era5-mcp-server>

## 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": "swnesbitt-era5-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swnesbitt-era5-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swnesbitt-era5-mcp-server/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