# mcp-copernicus-dataspace

> mcp-copernicus-dataspace — pipeworx-io-mcp-copernicus-dataspace. Use this tool when you need to access and retrieve data from the European Sentinel and Copernicus Contributing Mission archive, solving problems related to Earth observation and environmental monitoring. It allows you to search for specific products by area and date, providing outputs such as item IDs, footprints, and product asset paths. Ideal for use cases involving land cover analysis, burnt area detection, and DEM applications.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-copernicus-dataspace  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-copernicus-dataspace

## Description

European Sentinel and Copernicus Contributing Mission archive from the EU's Copernicus Data Space Ecosystem — search Sentinel-1/2/3/5P, Copernicus DEM, land-cover and burnt-area products by area and date and get item ids, footprints, dates and product asset paths.

## Trust

- **Trust score (0–1):** 0.97
- **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/pipeworx-io/mcp-copernicus-dataspace)

## 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": "pipeworx-io-mcp-copernicus-dataspace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-copernicus-dataspace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-copernicus-dataspace/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