"Write a warm birthday song for my mum turning 60 — she loves singing in the kitchen." → 《Kitchen Radio》, 2 × 2:30 MP3, lyrics, cover. One tool call, one credit.
taoyuan-mcp is an MCP project maintained in the jerryyangai/taoyuan-mcp repository. The maintainer describes its purpose as “"Write a warm birthday song for my mum turning 60 — she loves singing in the kitchen." → 《Kitchen Radio》, 2 × 2:30 MP3, lyrics…”. Read the project documentation for the complete scope.
The documented npm package is taoyuan-mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares TAOYUAN_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| create_song | 1 credit |
| compile_music_prompt | free |
| revise_generation_prompt | free |
| generate_music | 1 credit |
| get_generation | free |
| replace_section | 1 credit |
| separate_stems | free once per song |
{
"mcpServers": {
"taoyuan": {
"command": "npx",
"args": [
"-y",
"taoyuan-mcp"
],
"env": {
"TAOYUAN_API_KEY": "YOUR_TAOYUAN_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| TAOYUAN_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Enables AI assistants to control Spotify playback and manage playlists via the Model Context Protocol.
Allows AI assistants to query movie and TV show collections managed by Radarr and Sonarr.
This community Workers MCP demo exposes image generation, page screenshots and image extraction through a local client adapter and Cloudflare backend.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Provides QQ Music search functionality via the Modular Control Protocol (MCP).