# mcp-planetary-computer

> mcp-planetary-computer — pipeworx-io-mcp-planetary-computer. Use this tool when you need to search and retrieve Earth-observation imagery from open satellite and environmental collections. It solves problems related to accessing and utilizing large datasets, such as Sentinel, Landsat, and NAIP, by providing item IDs, footprints, dates, and asset URLs. The tool takes in area and date as inputs and outputs relevant data, making it ideal for use cases involving environmental monitoring, land use analysis, and climate research.

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

## Description

Earth-observation imagery catalogue from Microsoft's Planetary Computer — search its open satellite and environmental collections (Sentinel, Landsat, NAIP, Daymet, ERA5, biodiversity) by area and date and get item ids, footprints, dates and asset URLs.

## Trust

- **Trust score (0–1):** 0.99
- **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-planetary-computer)

## 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-planetary-computer"
    }
  }
}
```

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