# mcp-sentinel-hub

> mcp-sentinel-hub — pipeworx-io-mcp-sentinel-hub. Use this tool when you need to access and analyze satellite and earth-observation statistics in JSON format, solving problems related to environmental monitoring, land use tracking, and climate change research. It provides an interface to retrieve statistical data from Sentinel Hub, accepting input parameters such as location and time range, and outputting JSON data for further analysis. Ideal for use cases requiring large-scale earth observation data analysis, such as tracking deforestation or monitoring crop health.

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

## Description

Sentinel Hub MCP — satellite / earth-observation statistics as JSON (sentinel-hub.com).

## 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-sentinel-hub)

## 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-sentinel-hub"
    }
  }
}
```

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