# SkyFi Satellite Imagery

> Use this tool when you need to access and manage satellite imagery for geospatial analysis, monitoring, and mapping applications. It solves problems related to data acquisition, feasibility checks, and account management, providing inputs such as search queries and location data, and outputs including imagery data and order confirmations. Ideal for use cases requiring reliable and secure satellite imagery integration, such as environmental monitoring, urban planning, and disaster response.

Canonical page: https://skillsregistry.net/skills/gh-meghamegs-lab-skyfi  
JSON: https://api.skillsregistry.net/v1/skills/gh-meghamegs-lab-skyfi

## Description

Enables AI agents to interact with SkyFi's satellite imagery platform through 12 tools covering search and geospatial queries, pricing and feasibility checks, ordering with HMAC-signed confirmation tokens for financial safety, webhook-based monitoring, and account management. Supports multi-transport deployment with comprehensive integration guides.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-meghamegs-lab-skyfi)
- **Repository:** <https://github.com/meghamegs-lab/skyfi-mcp-server>

## 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": "gh-meghamegs-lab-skyfi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-meghamegs-lab-skyfi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-meghamegs-lab-skyfi/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