# spotify-mcp-py

> Use this tool when you need to automate Spotify-related tasks or integrate Spotify functionality into your projects, solving problems such as music data analysis or playlist management. It provides a Python interface to interact with Spotify's APIs, taking in inputs like API credentials and query parameters, and outputting relevant data like track information or playlist contents. Ideal for use cases involving music streaming, data analysis, or content creation, where automation and integration with Spotify's services are required.

Canonical page: https://skillsregistry.net/skills/argotdev-spotify-mcp-py  
JSON: https://api.skillsregistry.net/v1/skills/argotdev-spotify-mcp-py

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/argotdev/spotify-mcp-py)
- **Repository:** <https://github.com/argotdev/spotify-mcp-py>

## 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": "argotdev-spotify-mcp-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/argotdev-spotify-mcp-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/argotdev-spotify-mcp-py/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