# mood-transit-mcp

> mood-transit-mcp — festinz-mood-transit-mcp. Use this tool when you need to create personalized music playlists that adapt to a user's mood, activity, and environment. It solves the problem of static music recommendations by providing a dynamic and emotive listening experience through a three-stage mood transition process. The tool takes inputs such as weather, activity, time, and personal preferences, and outputs curated song recommendations to seamlessly transition a user's mood.

Canonical page: https://skillsregistry.net/skills/festinz-mood-transit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/festinz-mood-transit-mcp

## Description

Enables music curation that gently transitions a user's mood through three stages (Mirror, Bridge, Arrive), incorporating weather, activity, time, and personal preferences to recommend songs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aaon1l2rkz)
- **Repository:** <https://github.com/Festinz/mood-transit-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": "festinz-mood-transit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/festinz-mood-transit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/festinz-mood-transit-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