# NASA APOD MCP Server

> Use this tool when you need to access NASA's Astronomy Picture of the Day (APOD) API through natural language conversations, allowing users to retrieve space imagery and related information. It solves problems of complex API interactions by providing a simple conversation-based interface, accepting text inputs and returning relevant space imagery and data as outputs. Ideal for use cases where users require easy access to APOD content without needing to navigate complex API queries.

Canonical page: https://skillsregistry.net/skills/ethan2000liu-apod  
JSON: https://api.skillsregistry.net/v1/skills/ethan2000liu-apod

## Description

Multi-Agent Conversation Protocol server for accessing NASA's Astronomy Picture of the Day (APOD) API, allowing users to retrieve space imagery and related information through natural language interactions.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gi0hurng0s)
- **Repository:** <https://github.com/ethan2000liu/apod>

## 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": "ethan2000liu-apod"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethan2000liu-apod` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethan2000liu-apod/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