# foo-ai

> Use this tool when you need to control your foobar2000 music player with voice commands or AI-powered interfaces. It solves problems of manual music player control, providing a hands-free experience for users. The foo-ai tool takes voice or text inputs and outputs music playback controls, allowing for seamless integration with AI assistants.

Canonical page: https://skillsregistry.net/skills/bobini1-foo-ai  
JSON: https://api.skillsregistry.net/v1/skills/bobini1-foo-ai

## Description

MCP control for foobar2000. Control your music player with an AI assistant!

## Trust

- **Trust score (0–1):** 0.99
- **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/dwlvi91uqj)
- **Repository:** <https://github.com/Bobini1/foo_ai>

## 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": "bobini1-foo-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bobini1-foo-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bobini1-foo-ai/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