# magicline-mcp

> magicline-mcp — lucagerlich-magicline-mcp. Use this tool when you need to interact with the Magicline API through an MCP server, solving integration and automation problems for fitness and wellness businesses. It provides a server interface for Magicline API interactions, accepting API requests as input and returning relevant data as output. Ideal for use cases requiring seamless connectivity to Magicline services, such as membership management and facility access control.

Canonical page: https://skillsregistry.net/skills/lucagerlich-magicline-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lucagerlich-magicline-mcp

## Description

MCP server for the Magicline API

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/LucaGerlich/magicline-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": "lucagerlich-magicline-mcp"
    }
  }
}
```

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