# SkyFi MCP Server

> Use this tool when you need to access satellite imagery and perform geographic operations through a natural language interface. It solves problems related to searching, ordering, and monitoring satellite data, and tasking geographic operations. The SkyFi MCP Server takes natural language inputs and returns relevant satellite imagery and operation results, making it ideal for applications requiring intuitive and automated geospatial data management.

Canonical page: https://skillsregistry.net/skills/noahecampbell-skyfi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/noahecampbell-skyfi-mcp

## Description

Provides access to SkyFi's satellite imagery API for searching, ordering, tasking, monitoring, and geographic operations through natural language.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nmslq5ehlr)
- **Repository:** <https://github.com/NoaheCampbell/SkyFi-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": "noahecampbell-skyfi-mcp"
    }
  }
}
```

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