Which integrations are available for this server?

Recommended audio backend for playing radio streams; automatically detected and used for playback. Local LLM provider for AI features, offering an alternative to cloud-based models for recommendations and DJ mode. LLM provider for AI-powered features such as mood-based station recommendations and DJ commentary. Used for song recognition to identify currently playing tracks via the recognize_song tool.

How do I use radiomcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@radiomcp Play some lo-fi hip hop" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

radiomcp

by meshpop

Overview Schema Related Servers Score Discussions

Python

Local

radiomcp

PyPI Python License: MIT

Internet radio for Claude and your terminal. ~25,000 verified live stations, 197 countries.

pip install radiomcp && radiomcp

First run auto-registers with Claude Desktop / Claude Code. Restart Claude and you're done.

한국어 · Powered by Airtune API

Two ways to use it

	Command	What it does
MCP server	`radiomcp`	Connects to Claude — control radio in plain language
TUI player	`radio`	Interactive terminal player with search and favorites

MCP — control radio with Claude

pip install radiomcp && radiomcp

Auto-detected and registered on first run. Or manually add to ~/.claude/settings.json:

{
  "mcpServers": {
    "radio": { "command": "radiomcp" }
  }
}

Then just ask Claude:

"Play some late-night jazz" "Find Korean news stations" "What's playing right now?" "Recommend something for focus work" "Play a French station" "Stop the radio"

MCP Tools

Tool	Description
`play`	Play by URL or search query
`stop`	Stop playback
`now_playing`	Current station and track
`search`	Search by keyword, genre, country
`recommend`	AI recommendations by mood or context
`get_favorites` / `add_favorite`	Saved stations
`get_history`	Listening history
`set_volume` / `get_volume`	Volume control
`get_popular`	Most popular stations
`search_by_country`	Stations by country code
`search_by_language`	Stations by language
`recognize_song`	Identify currently playing song
`get_radio_status`	Player status

TUI Player

radio

Interactive terminal player. Type to search, numbers to play.

Search

> jazz              # keyword
> korea news        # combined
> japan classical   # multilingual
> jazz HQ           # high quality only (192k+)

Supports 50+ languages — Korean, Japanese, Chinese, Russian, Arabic and more are normalized automatically.

Key	Function
`g`	Genre browser
`c`	Country browser
`p`	Popular stations
`/`	Search
`!`	Toggle: local DB ↔ DB + live API

Playback & Volume

Key	Function
`1`–`9`	Play station from list
`r`	Resume last station
`s`	Stop
`v` / `v+` / `v-` / `v50`	Show / up / down / set volume
`q`	Quit

Favorites

Key	Function
`f`	View favorites
`+` / `-`	Add / remove current station
`<` / `>`	Previous / next favorite

AI & Song Info

Key	Function
`a`	Personalized recommendations
`w`	Time-based mood recommendations
`i`	Recognize current song (Shazam-like)
`n`	Current song info

DJ Mode

RADIOCLI_DJ=1 radio

AI-voiced DJ commentary between tracks. Supports 10 languages.

Player Backends

Auto-detected: mpv → vlc → ffplay → browser

Backend	Install
mpv (recommended)	`brew install mpv` / `apt install mpv`
vlc	`brew install vlc` / `apt install vlc`
ffplay	`brew install ffmpeg` / `apt install ffmpeg`

CLI

radiomcp search jazz
radiomcp play <url> "Station Name"
radiomcp stop
radiomcp now
radiomcp recommend focus
radiomcp update          # Sync latest stations from Airtune API
radiomcp serve           # Start HTTP API server

Environment Variables

Variable	Description	Default
`RADIOCLI_LLM`	LLM provider: `claude`, `openai`, `ollama`, `none`	`none`
`RADIOCLI_DJ`	DJ mode	`0`
`RADIOCLI_LANG`	UI language	auto-detect
`ANTHROPIC_API_KEY`	For Claude-powered features	—
`OPENAI_API_KEY`	For OpenAI-powered features	—
`OLLAMA_URL`	Ollama server URL	`http://localhost:11434`

Data

Station database (~25,000 verified live stations) stored in ~/.radiocli/ on first run.

radiomcp update    # Pull latest from Airtune API

License

Code: MIT — LICENSE
Station data: ODbL 1.0 — DATA_LICENSE.md

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

2dRelease cycle

4Releases (12mo)

Resources

GitHub Repository

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