# Planet MCP

> Use this tool when you need to access and manage satellite imagery data through natural language interactions. Planet MCP enables AI agents to order imagery, manage subscriptions, and handle data tasks seamlessly, solving problems related to geospatial data acquisition and management. It takes natural language inputs and returns relevant satellite imagery data and management options as outputs.

Canonical page: https://skillsregistry.net/skills/planetlabs-planet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/planetlabs-planet-mcp

## Description

Enables AI agents to interact with the Planet API for satellite imagery ordering, subscriptions, and data management through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/hkjk3p37ys)
- **Repository:** <https://github.com/planetlabs/planet-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": "planetlabs-planet-mcp"
    }
  }
}
```

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