Songbrain

Hosted music analysis MCP server: beat grid with downbeats, song sections, best moments with reasons, word-timed lyrics and a beat-synced shot plan for any song. Example tools work without a key

GitHub

Server MCP Terhosting

npx add-mcp 'https://api.songbrain.ai/v1/mcp'

Terpasang ke Claude Code, Codex, Cursor, dan lainnya

Dokumentasi

Songbrain

Song in, video plan out — the music analysis API for AI video.

Send a song. Get back JSON that a video model can use directly: what the song is, where the beats and sections are, which part to use, what the words are and when they are sung, what the video should show, and a shot list with a prompt for every scene that cuts on the beat.

Under the hood that is beat detection with downbeats, song structure analysis (sections with repeat letters), best-moment detection and word-timed lyrics in one hosted API, plus an MCP server at https://api.songbrain.ai/v1/mcp so Claude, Cursor or ChatGPT can read a song directly (setup guide).

This repository holds the official SDKs for Python and JavaScript/TypeScript, examples, and the MCP server entry.

API docs: https://www.songbrain.ai/docs/api
OpenAPI: https://api.songbrain.ai/v1/openapi.json
Get a key (5 free songs a month): https://app.songbrain.ai/developers
Changelog: SDKs · API

Try it now, no key

curl https://api.songbrain.ai/v1/examples/old-truck-home/shot-plan

This returns the story and shot plan of a real song in exactly the format your songs get. GET /v1/examples lists all examples.

What one call returns

One document per song (schema songbrain.song/1). Times are seconds from the start of the song.

Section	What is in it
`song_dna`	Genre and subgenre (37 subgenres), tempo, key and key changes, mood, vocal style, instruments, energy, loudness (LUFS, true peak, per-platform check), a tagline and similar tracks
`timeline`	Every beat, every downbeat, time signature, sections with repeat letters (A, B, A) and energy, vocal changes, lyric hooks
`best_moments`	Ranked windows with start, peak and end, a score, the reason they work and the measured signals behind it, the beats inside, the words sung
`lyrics`	Lines with start and end, and every word with its own start and end
`scores`	Virality, quality and lyrics scores with breakdowns, what works, what to fix, audience
`story`	What the song means, one world, a three-colour palette, the one element the video is about (before, event, after), setup / turn / payoff
`shot_plan`	A beat-synced edit of the best moment (about 15 s, 9:16): every scene with absolute start and end seconds, act, kind, camera motion, transition, framing and a ready image/video prompt. Plus a section-level plan for the full song with cut points on the beat

One scene from the shot plan:

{
  "index": 1,
  "kind": "tease",
  "act": "setup",
  "start_sec": 94.83,
  "end_sec": 96.246,
  "duration_sec": 1.416,
  "beats_in_scene": 4,
  "transition_in": "cold open, hold",
  "motion": "slow push-in on a still world",
  "prompt": "wide establishing shot of the empty space: A distant, warm yellow light source pulses faintly in the deep blue night ...",
  "sung": null
}

A song takes 60–90 seconds to analyse (up to about 2 minutes when busy).

Install

pip install songbrain     # Python 3.9+, one dependency (requests)
npm install songbrain     # Node 18+, no runtime dependencies, ESM + CJS + types

Packages: PyPI · npm.

Quickstart: Python

from songbrain import Songbrain

sb = Songbrain()                                   # reads SONGBRAIN_API_KEY
song = sb.analyze("song.mp3")                      # or analyze(audio_url="https://…")

dna = song["song_dna"]
print(dna["genre"], dna["tempo_bpm"], dna["key"])
for s in song["shot_plan"]["clip"]["scenes"]:
    print(f'{s["start_sec"]:.2f}-{s["end_sec"]:.2f} [{s["act"]}] {s["prompt"]}')

Quickstart: TypeScript / JavaScript

import { Songbrain } from "songbrain";

const sb = new Songbrain();                        // reads SONGBRAIN_API_KEY
const song = await sb.analyze({ file: "song.mp3" }); // or { audioUrl: "https://…" }

const dna = song.song_dna!;
console.log(dna.genre, dna.tempo_bpm, dna.key);
for (const s of song.shot_plan?.clip?.scenes ?? []) {
  console.log(`${s.start_sec.toFixed(2)}-${s.end_sec.toFixed(2)} [${s.act}] ${s.prompt}`);
}

analyze() uploads, waits until the song is done and returns the full document. Pass wait=False (Python) or wait: false (JS) to get the id right away, then use a webhook or get_song / getSong later.

SDK methods

Python uses snake_case and JS uses camelCase method names. Response fields are the API's own names in both.

Python	JavaScript	API	Key
`analyze(file \| audio_url=…, test=False, idempotency_key=None, wait=True)`	`analyze({ file \| audioUrl, test, idempotencyKey, wait })`	`POST /v1/songs` + polling	yes
`get_song(id, view, include)`	`getSong(id, { view, include })`	`GET /v1/songs/{id}`	yes
`shot_plan(id)`	`shotPlan(id)`	`GET /v1/songs/{id}/shot-plan`	yes
`list_songs(limit, starting_after)`	`listSongs({ limit, startingAfter })`	`GET /v1/songs`	yes
`iter_songs(page_size)`	`iterSongs({ pageSize })`	`GET /v1/songs`, every page	yes
`delete_song(id)`	`deleteSong(id)`	`DELETE /v1/songs/{id}`	yes
`account()`	`account()`	`GET /v1/account`	yes
`test_webhook(url)`	`testWebhook(url)`	`POST /v1/webhooks/test`	yes
`webhook_deliveries(limit)`	`webhookDeliveries({ limit })`	`GET /v1/webhooks/deliveries`	yes
`pricing()`	`pricing()`	`GET /v1/pricing`	no
`examples()`	`examples()`	`GET /v1/examples`	no
`example(id, view, include)`	`example(id, { view, include })`	`GET /v1/examples/{id}`	no
`example_shot_plan(id)`	`exampleShotPlan(id)`	`GET /v1/examples/{id}/shot-plan`	no
`webhooks.verify(body, header, secret)`	`verifyWebhook(body, header, secret)`	`Songbrain-Signature` header	–

Both SDKs:

send the key as Authorization: Bearer sb_live_…,
raise SongbrainError (status, code, message, request_id / requestId) and the subclasses AuthenticationError, InsufficientCredits, NotFound, RateLimited (with retry_after / retryAfter), AnalysisFailed and WaitTimeout,
send an Idempotency-Key with every new song and retry network errors, 429 and 5xx up to 3 times with backoff, honouring Retry-After,
keep the last rate-limit headers in last_rate_limit / lastRateLimit.

Package docs: python/README.md · js/README.md

Without an SDK

# 1. send a file (or JSON {"audio_url": "https://…"})
curl -X POST https://api.songbrain.ai/v1/songs \
  -H "Authorization: Bearer $SONGBRAIN_API_KEY" \
  -F "file=@song.mp3" -F "title=My Song"
# → 202 {"id": "…", "status": "processing", "eta_sec": 75, "billing": {…}}

# 2. poll until status is "done"
curl https://api.songbrain.ai/v1/songs/$ID -H "Authorization: Bearer $SONGBRAIN_API_KEY"

Options on document endpoints: ?view=summary drops word timings and beat arrays (about 3x smaller). ?include=song_dna,shot_plan returns only the named sections.

Errors always look like {"error": {"code": "…", "message": "…", "request_id": "req_…"}} with HTTP 400, 401, 402, 404, 409, 413, 415 or 429. A 429 carries a Retry-After header.

Test mode

Send "test": true (or test=True / test: true in the SDKs) and the song is free, needs no audio and is done right away. You get the Sugar Rush example analysis with your title and external_ref, "livemode": false and billing.type = "test". A webhook_url still gets a signed song.done within seconds. It is made for CI and for building your integration before you spend a song.

song = sb.analyze(test=True, external_ref="ci-123")   # done right away, costs nothing
assert song["livemode"] is False

Test songs never use your free songs, but they are rate-limited and count toward the daily cap. A pytest example: cookbook/ci_test_mode.py.

Your own lyrics

Lyrics are transcribed from the vocals, and sung words can be misheard. If you have the lyrics (Suno gives them to you), send them along: the analysis uses your exact words on the transcription's timing. Words the singer can't be heard on are left out, never guessed.

song = sb.analyze("song.mp3", lyrics=open("lyrics.txt").read())
song["lyrics"]["source"]   # "provided_lyrics"

const song = await sb.analyze({ file: "song.mp3", lyrics });

Measured or estimated?

Every song carries provenance: which fields are measured from the audio (tempo, key, beats, sections, loudness, moment windows), which are transcribed (lyrics), which are an AI model's judgement (genre, mood, scores) and which are generated (story, prompts, tagline). Scores also say "basis": "model_estimate". Details: docs.

Idempotency

POST /v1/songs accepts an Idempotency-Key header (1–255 printable characters). The same key on the same account within 24 hours returns the first answer again (same song id, no second charge) with Idempotent-Replayed: true. The same key with a different request is a 409 idempotency_key_reused; a key whose first request is still running is a 409 idempotency_in_progress (retry after a second). Failed first requests are not stored, so the key can be retried.

Both SDKs send a random key with every analyze() and reuse it across their own retries, so a timeout during an upload never creates two songs. Pass your own key (idempotency_key= / idempotencyKey), e.g. your job id, to make retries across processes safe too.

Pagination

GET /v1/songs?limit=20&starting_after=<song id> returns the newest songs first with has_more and next_cursor. Pass next_cursor as starting_after for the next page, or let the SDK do it:

for item in sb.iter_songs():           # Python
    print(item["id"], item["status"], item["livemode"])

for await (const item of sb.iterSongs()) console.log(item.id, item.status); // JS

Request ids and rate limits

Every response has a Songbrain-Request-Id: req_… header, and every error body repeats it as error.request_id. The SDKs put it on the error (request_id / requestId) and in its message. Quote it when you contact support.

Requests with a key return X-RateLimit-Limit (requests per minute, currently 120), X-RateLimit-Remaining and X-RateLimit-Reset (seconds until the window has room again). The SDKs keep the last values in sb.last_rate_limit / sb.lastRateLimit.

Webhooks

Pass webhook_url when you create a song. Songbrain POSTs song.done or song.failed, and account.low_balance when you run low:

{"id": "evt_…", "type": "song.done", "created": 1791200000, "livemode": true, "data": {"id": "…", "status": "done", "external_ref": "…"}}

Signature. Every webhook has the header Songbrain-Signature: t=<unix>,v1=<hex>. v1 is the HMAC-SHA256 of "<t>.<raw body>" with your key's webhook secret. Both SDKs verify it for you (webhooks.verify / verifyWebhook).
Dedupe on the event id. id (also in the Songbrain-Event-Id header) stays the same when an event is retried. Store the ids you have handled and answer 2xx to repeats.
Retries. Anything but a 2xx is retried, up to 10 attempts over about 3 days: right away, then 1 min, 5 min, 30 min, 2 h, 6 h, 12 h, 24 h, 48 h and 72 h after the first attempt. Redirects are not followed.
Test ping. POST /v1/webhooks/test {"url": "…"} (test_webhook / testWebhook) sends a signed ping right now and tells you whether it was delivered. GET /v1/webhooks/deliveries (webhook_deliveries / webhookDeliveries) lists the last attempts with status codes.

Receivers: cookbook/webhook_receiver_fastapi.py (FastAPI, with dedupe) and examples/python/webhook_server.py (Flask).

MCP

Songbrain runs a remote MCP server at https://api.songbrain.ai/v1/mcp (streamable HTTP). It works in Claude Code, Claude Desktop, Cursor and other MCP clients. Without a key you get the example tools. With a key you can analyse songs from a URL.

claude mcp add --transport http songbrain https://api.songbrain.ai/v1/mcp \
  --header "Authorization: Bearer sb_live_…"

Setup for each client: examples/mcp.md. Registry name: io.github.songbrain-ai/songbrain (server.json).

Examples

File	What it does
examples/python/shot_plan_to_prompts.py	Analyse a file or URL and print each scene as `01:34.8–01:36.2 [setup] prompt…`
examples/node/shot-plan-to-prompts.mjs	The same in Node
examples/python/webhook_server.py	A Flask receiver that verifies the signature
examples/render-with-your-model.md	Feed the scene prompts to Kling, Runway, Luma, Veo or fal and cut on the given seconds
examples/mcp.md	MCP setup for Claude Code, Claude Desktop and Cursor

Run either script with --example old-truck-home to try it without a key.

Cookbook

Runnable recipes in cookbook/. All work with --example sugar-rush (no key), and the video ones have a --dry-run that prints every call and the ffmpeg command.

Recipe	What it does
song_to_clips_fal.py	One fal.ai video clip per shot-plan scene, stitched on the beat with the song underneath
song_to_clips_replicate.py	The same on Replicate
beat_synced_slideshow.py	A folder of images cut on scenes, beats, bars or sections with ffmpeg. No AI keys
webhook_receiver_fastapi.py	Signature check, dedupe by event id, ping / song.done / song.failed
ci_test_mode.py	pytest tests for CI with test mode

Postman

Import postman/Songbrain.postman_collection.json into Postman, Insomnia or Bruno. Set apiKey, then run Songs → Create song (test mode). Every endpoint is in it, with cursor pagination and an Idempotency-Key on creates.

Pricing

5 free songs per account per month.
Then 25 credits per song, about $0.50. Credits come in packs (500 credits = $10, 150 credits = $4.99).
No subscription. Everything is included in that price: analysis, story and shot plan.
Limits: files up to 100 MB, 30 s to 10 min; 3 songs in parallel; 200 songs per 24 h; 120 requests per minute per key.
Over 1,000 songs a month, an invoice, a DPA or an SLA: support@songbrain.ai.

Live prices: GET https://api.songbrain.ai/v1/pricing.

Commercial use

The short version of Terms §17:

You can use the API in a paid SaaS, including products that make images or videos for your customers.
You can pass results to your users, changed or unchanged.
White-label is fine. No attribution to Songbrain is required.
The results for your songs are yours. You can keep them after you delete a song or close the account.
You can train your own models on results, except a model built to reproduce the Songbrain API for others.
Reselling raw API access or bulk datasets needs written consent.

Audio is used only for the analysis and never for training. Uploads are deleted within 24 hours.

Repository layout

python/      PyPI package "songbrain"
js/          npm package "songbrain"
examples/    scripts and guides
cookbook/    runnable recipes (AI clips, slideshow, webhooks, CI)
postman/     Postman collection
server.json  MCP Registry entry
.github/     CI and publish workflows (tags py-v*, js-v*, mcp-v*)

Songbrain

Server MCP Terhosting

Dokumentasi

Songbrain

Try it now, no key

What one call returns

Install

Quickstart: Python

Quickstart: TypeScript / JavaScript

SDK methods

Without an SDK

Test mode

Your own lyrics

Measured or estimated?

Idempotency

Pagination

Request ids and rate limits

Webhooks

MCP

Examples

Cookbook

Postman

Pricing

Commercial use

Repository layout

Links

License