# ScrobblerContext

> ScrobblerContext — tfmart-scrobblercontext. Use this tool when you need to integrate Last.FM APIs into your application, providing a seamless way to scrobble music and access user listening data. It solves problems related to music tracking and recommendation systems, allowing for personalized user experiences. With inputs such as user credentials and music metadata, it outputs scrobbled data and user profiles, ideal for music streaming services and recommendation platforms.

Canonical page: https://skillsregistry.net/skills/tfmart-scrobblercontext  
JSON: https://api.skillsregistry.net/v1/skills/tfmart-scrobblercontext

## Description

MCP Server for Last.FM APIs, built in Swift

## Trust

- **Trust score (0–1):** 0.99
- **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/tfmart/ScrobblerContext)

## 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": "tfmart-scrobblercontext"
    }
  }
}
```

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