# SkyFi MCP Server

> Use this tool when you need to access and manage satellite imagery through conversational interactions. The SkyFi MCP Server enables AI agents to search, price, order, and monitor satellite images, solving problems related to geospatial data acquisition and integration. It accepts conversational tool calls as input and returns relevant imagery data as output, ideal for use cases requiring dynamic and automated satellite image retrieval.

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

## Description

Enables AI agents to search, price, order, and monitor satellite imagery from the SkyFi platform through conversational tool calls.

## Trust

- **Trust score (0–1):** 0.66
- **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/ge6maaey40)
- **Repository:** <https://github.com/seeincodes/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": "seeincodes-skyfi-mcp"
    }
  }
}
```

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