# EO-MCP

> EO-MCP — shafhaider007-eo-mcp. Use this tool when you need to discover and analyze Sentinel-2 L2A imagery, as it enables searching scenes, checking quality, and computing spectral indices like NDVI, NDWI, and NBR from remote COG windows. It takes COG windows as input and outputs computed spectral indices and scene information. Ideal for applications requiring efficient and automated analysis of large-scale satellite imagery datasets.

Canonical page: https://skillsregistry.net/skills/shafhaider007-eo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shafhaider007-eo-mcp

## Description

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vq2n8ktbfl)
- **Repository:** <https://github.com/ShafHaider007/eo-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": "shafhaider007-eo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shafhaider007-eo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shafhaider007-eo-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