Turn Your Agent
Into a World-Class DJ.
BeatBrain is the music intelligence layer for AI agents. 65 MCP tools turn any OpenClaw agent into a context-aware DJ across Spotify, Apple Music, Tidal, and Deezer.
Not a playlist generator. Your agent becomes a curator that reads the room, adapts to the vibe, and learns from every session. Join the colony. ๐ฆ
Free until launch (Q2 2026) ยท No credit card required ยท 50 free spins/month forever
Why this matters ๐ฆ
Your agent already has
all the context it needs.
Calendars, messages, biometrics, location โ your OpenClaw agent sees everything. BeatBrain translates that context into perfectly sequenced music on Spotify, Apple Music, Tidal, or Deezer. No "what kind of music do you want?" No genre prompts. Just context โ music.
"Hey cosmo can you play some music I'm going on a 30 minute run"
[connects Spotify once, plans 11-track running playlist, starts playback]
"Can you play a little more hip hop"
[replans mid-session, adjusts energy and genre mix]
Zero friction. No menu. No genre picker. The claw just knows. ๐ฆ
Integration ๐ฆ
One skill.
Infinite vibes.
BeatBrain works as an MCP server. Point your agent at the endpoint, add your API key, and 65 tools auto-discover. Two lines. That's it.
# MCP endpoint (JSON-RPC 2.0)
POST https://getbeatbrain.com/api/v1/mcp# Auth header on every request
Authorization: Bearer bb_live_...# That's literally it
# Your agent auto-discovers 65 tools ๐ฆTime from zero to DJ: ~30 seconds ๐ฆ
MCP Toolset
65 tools auto-discoveredCore Playback
play_music
Plan and start playback from context (Spotify, Apple Music, Tidal, Deezer)
queue_tracks
Add specific songs by name to play next
update_context
Smooth vibe transition mid-session
control_playback
Pause, skip, volume, seek, transfer device
Intelligence
get_song_dna
Emotional trajectory, sensitivity, sonic cluster
predict_music_context
Predict what a user will want before they ask
explore_music
Artist deep dives, genre landscapes (Last.fm + Soundcharts)
explain_track
Natural-language explanation of why a track was picked
Learning & Social
report_feedback
Log likes / skips / saves โ feeds learning loops
get_session_health
Real-time engagement score, skip streaks, alerts
get_lyrics
Lyrics lookup or identify a song from a snippet
get_listening_stats
Wrapped-style insights: genres, artists, hours
+ 53 more: Song DNA, orchestration pipeline, memory, concerts, sharing, schedulingโฆ
Under the shell ๐ฆ
What makes it
dangerously smart.
Your agent passes everything it knows. BeatBrain turns raw context into musical intelligence. This is what separates us from "play songs from this genre."
{
"prompt": "30 minute run, high energy",
"service": "spotify",
"energy": 0.75,
"sensors": {
"heart_rate": 145,
"location_type": "outdoors",
"device_type": "headphones"
},
"psychological_state": {
"arousal": 0.78,
"valence": 0.64
}
}15+ dimensions fused: genre, energy, BPM, era, scene, heart rate, psychological state (arousal/valence/dominance), time of day, social context, device type, ambient noise, conversation mood, sleep quality, vehicle speed, meeting proximity, stress level
Context Fusion ๐ฆ
Pass everything you know. BeatBrain fuses 15+ dimensions: genre, energy, BPM, era, heart rate, psychological state, time of day, social context, device type, ambient noise, sleep quality, calendar, and more.
Energy Arcs ๐ฆ
Not just "high energy music." BeatBrain plans energy curves across the session. Running: build โ sustain โ cool down. Pre-party: gradual ramp from chill to hype. Focus: sustained low energy, no jarring transitions.
Song DNA & Deep Learning ๐ง
Every track has a DNA profile: emotional trajectory, situational sensitivity, social acceptability, sonic cluster. BeatBrain learns from every like, skip, and save โ taste profiles, session health, and engagement feed back into the next session.
Four Streaming Services ๐ง
Spotify (full remote control), Apple Music (web player + native), Tidal (deep links + live playlist updates), and Deezer. Real artists with DJ-quality transitions. No AI-generated slop.
Predictive & Proactive ๐ฎ
predict_music_context reads calendar, weather, activity, and routine patterns to suggest music before the user asks. "Dinner with Alex in 30 min โ want me to start some background jazz?"
Social & Insights ๐ค
Lyrics lookup, concert alerts near the user, Wrapped-style listening stats, song/set sharing, passive listening detection, milestone tracking, and DJ commentary mode โ all via MCP.
Energy arcs ๐ฆ
Not random songs.
Deliberate journeys.
Running
Pre-Party
Focus Work
Deployed in the wild ๐ฆ
What OpenClaw agents
are building.
Real OpenClaw agents. Real users. Real vibes.
Personal Assistant
Your agent DJs for runs, coding sessions, dinner parties, road trips. Reads calendar + biometrics + conversation history to understand the moment.
Home Automation
"Friends arriving in 10 minutes" โ music ramps up energy for the next hour, then sustains party mode. The claw knows.
Fitness Coach
Matches BPM to cadence. Adjusts energy based on heart rate zones. Knows when to push vs. when to back off.
Focus Timer
Pomodoro sessions with music that sustains deep work. No lyrics during peak focus. Ambient transitions between blocks.
Social Spaces
Discord/Slack bots that DJ for voice channels. Reads room sentiment, adjusts vibe in real-time.
Pricing ๐ฆ
Simple pricing.
No shell games.
A "spin" = one playback session. Early access is free until launch. Join now. The water's warm. ๐ฆ
๐ฆ Early access: free until launch (expected Q2 2026) ๐ฆ
Your agent deserves better than
"play songs from this genre."
It deserves a DJ. Give it a brain. Join the colony.
Get your API key
Install the skill
Read the docs
Questions? Join the BeatBrain Discord ๐ฆ