# satellite-imagery-mcp

> satellite-imagery-mcp — arhancanli-satellite-imagery-mcp. Use this tool when you need to find the clearest satellite imagery for a specific location, solving problems such as locating high-quality images for mapping, monitoring, or analysis. It takes a location as input and outputs links to the clearest scenes from Sentinel-2, Landsat, Sentinel-1, or NAIP, with associated band information. Ideal for applications requiring up-to-date and accurate satellite data, such as environmental monitoring or urban planning.

Canonical page: https://skillsregistry.net/skills/arhancanli-satellite-imagery-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arhancanli-satellite-imagery-mcp

## Description

Find the clearest Sentinel-2, Landsat, Sentinel-1 or NAIP scene for any place, with band links.

## Trust

- **Trust score (0–1):** 0.86
- **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/arhancanli/satellite-imagery-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": "arhancanli-satellite-imagery-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arhancanli-satellite-imagery-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arhancanli-satellite-imagery-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