Chorus

The collective mind, just one question away.

Chorus is a local MCP server that watches TikTok and reads Reddit for you. Ask a question, and about a minute later you get what people are actually saying, and which advice they actually back up. Free, private, all on your own Mac.

Download for macOS See how it works
Free · macOS 13+ · works with Claude Desktop and Claude Code CLI
It can tell you…
Under the hood

A full research pipeline.
Zero API keys, zero cloud.

Chorus is a local MCP server, written in Python, that hands Claude ten research tools. TikTok and Reddit don't offer this data, so every capability is engineered on-device: the scraping, the speech-to-text, the ranking. Nothing is rented, so nothing costs money.

Anatomy of a trust score weights from the live ranker
@kopikinetik “one to eight, coffee to water, sixteen hours in the fridge” trust 0.82
Engagement ×.35 likes-per-view and reach, log-scaled
Relevance ×.30 embedding similarity to your question
Authority ×.20 follower base and verification
Corroboration ×.15 do the comments confirm it?
Two passes: 40 candidates pre-ranked on caption embeddings → 15 enriched with transcripts and comments, then re-scored → the best 10 become the answer.
Data access

Signed requests, without reimplementing the signature

TikTok's JSON endpoints reject unsigned requests, and the signing scheme lives in an obfuscated native library. Every open-source reimplementation of it is years stale and silently returns empty responses. Chorus sidesteps the problem instead of fighting it: it keeps one warmed TikTok page and calls the site's own endpoints from inside it, so TikTok's SDK signs each request. There is no key to extract and nothing to go stale. Calls are spaced on a randomized interval, and the older DOM-scraping path stays behind it as a fallback.

Embeddings

Semantic relevance, computed locally

Your question, every caption, and every transcript are embedded as vectors by a MiniLM sentence-transformer and compared by cosine similarity, so “best budget espresso setup” matches videos that never use those exact words. If the model can't load, ranking falls back to lexical BM25.

Speech-to-text

Whisper transcription on the GPU

Creator-written captions are used when they exist. Otherwise the audio is extracted and transcribed by Whisper on the Apple-silicon GPU, with a CPU fallback on other machines. No audio leaves the machine.

Sentiment

Comment sentiment as a ranking signal

Top comments pass through sentiment analysis, and debunk language (“fake”, “scam”, “cap”) counts against a claim. That's the corroboration signal above: advice many people confirm ranks ahead of claims the comments dispute.

MCP

Structured output, built for a model

The result is an info bank, not a webpage: ranked claims with per-signal trust scores, full transcripts, and comment receipts, delivered over MCP so Claude can weigh the evidence and cite it.

10MCP tools 3local AI models 4ranking signals 231tests 0API keys 100%on-device
Why it's free

Your Mac does all the work.
That's why it's free and private.

Private

Your questions stay yours

There's no company server in the middle. What you ask, and what comes back, never leaves your own computer. There's simply nowhere else for it to go.

Free

Nothing to pay, nothing to sign up for

No subscription, no account, no hidden meter. If you own a Mac, you already have everything it needs.

Easy

Works right inside Claude

No new app to learn. Connect it once and just ask questions the way you already do. Chorus quietly does the legwork behind the scenes.

Clear-eyed

Tells you what to trust

Every claim comes with a read on whether real people back it up, so you can tell solid advice from confident nonsense.

What you get

Answers from real people.
Ranked by who to trust.

Every answer shows who said it, how much the comments back it up, and what to be skeptical of, so you can tell solid advice from confident nonsense.

chorus · what people are saying
you asked
best cold brew coffee ratio
@themacrobarista trust 82%

"Go 1‑to‑8, coffee to water, and cold-steep it 16 hours in the fridge, anything shorter and it's watery."

412 commenters back this up
r/coffee trust 74%

"I run a 1:7 concentrate then cut it with water to taste."

96 upvotes, replies mostly agree
@coffeegroundsph trust 41%

"Cold brew in 5 minutes, no waiting."

heads-up: the comments call this one out
chorus · what people are saying
you asked
carry-on that survives 40 flights
@packlightpaige trust 88%

"The 40L hard shell took 40 flights and the only thing that gave out was a wheel."

1.2k commenters back this up
r/onebag trust 71%

"Over 7 kg and gate agents start asking to weigh it."

218 upvotes, replies mostly agree
@dealdropdaily trust 36%

"This $39 lookalike is the exact same bag."

heads-up: the comments say the zips fail
chorus · what people are saying
you asked
does the baking soda cleaning hack work
@cleanwithclau trust 84%

"I ran the baking soda hack for two weeks: great on grout, useless on glass."

2.3k commenters back this up
r/CleaningTips trust 69%

"Plain dish soap and a stiff brush beat every hack in this thread."

480 upvotes, replies mostly agree
@hacksinaflash trust 31%

"One spray and hard water stains vanish, no scrubbing."

heads-up: the comments call it an ad
3 of your questions · scroll sideways →
How it works

From your question to an answer
in four steps.

Ask in Claude: best cold brew ratio, carry-on luggage that survives, whether that viral cleaning hack works. Here's what happens on your Mac, start to finish, in about a minute.

Finds the right videos, threads, and people.

Chorus searches TikTok and Reddit the way you would, straight from your own computer. No account, no sign-in. Views, likes, and upvotes are easy to fake, so it also weighs whether the poster knows their stuff and whether the video or thread actually answers your question.

Keep @themacrobarista · answers the question, consistent history
Keep @kopikinetik · detailed method, active comments
Skip @viralbrews · engagement spike, no substance
01

Watches every video. Reads every thread.

It listens to what's said in each video, even the ones without captions, and reads the Reddit threads end to end. All of that happens on your Mac; nothing gets uploaded anywhere.

0:12 "the ratio matters more than the beans"
0:31 "one to eight, coffee to water"
0:58 "sixteen hours in the fridge, minimum"
02

Reads the comments.

The comments are where the truth comes out. Advice hundreds of people back up counts for more than a claim the comments are laughing at.

+2.1k "can confirm, been doing this for years"
+854 "16 hours is the real secret"
+12 "5-minute cold brew" · comments disagree
03

Gives you one clear answer.

You get a summary you can trust, right in your conversation: who said what, how much people back it up, and what to be skeptical of.

Answer 1:8 coffee-to-water, steeped 16 hours cold
Backed by 500+ commenters across 8 videos
Skip anything promising cold brew in minutes
04
For creators

Find the formats that travel.
Not just the big accounts.

Ask for the viral formats in any niche. Chorus ranks videos by outperformance: views measured against the creator's follower count, so a 2k-follower account pulling 3M views stands out from a celebrity coasting on reach. Every outlier comes with its hook, word for word, plus the sounds and hashtags the niche is riding right now.

Viral formats niche: home espresso
@beanoffice 1.8k followers · 2.6M views ×1,444 reach

“I replaced my $700 machine with this $40 setup and honestly can't tell the difference.”

@tinytamper 4.2k followers · 1.9M views ×452 reach

“Nobody talks about dose consistency, so let's fix it in twenty seconds.”

Trending sound: “lofi tamp loop”, ridden by 11 of the 40 videos scanned.
Get it

Up and running
in about a minute.

The app comes with everything built in and connects itself to Claude. Comfortable in a terminal? You can also run it from the source code.

For everyone

Download & connect

Drag Chorus to Applications and open it. The setup window walks you through it, including one click to add the MCP to Claude Code.

  1. Download the app
  2. Drag it to Applications
  3. Click Add to Claude Code
Download for macOS
For developers

Run it from source

Clone the repo, install the browsers once, and register the server with Claude Code:

# one-time setup
uv run playwright install chromium firefox

# register with Claude Code
claude mcp add --scope user ask-chorus \
  -- uv run --directory /path/to/repo \
  ask-chorus
FAQs

Not hype.
Real answers here.

Is it private?

Yes. Your questions and answers stay on your Mac. The only thing that leaves your computer is the same kind of traffic your browser sends when you browse TikTok or Reddit yourself. There's no company server in the middle, and nothing for anyone to log.

Is it really free?

Yes. No account, no subscription, no hidden usage meter. It runs on your Mac's own internet and processing power, so there's nothing to charge you for. (If that ever changes, it'll be opt-in and obvious.)

Do TikTok and Reddit allow this?

The straight answer is no. Both platforms' terms of service restrict automated browsing, even of public posts. Chorus only reads public videos, threads, and comments, from your own connection, but you should know that before you use it.

What do I need?

A Mac and either Claude Desktop or the Claude Code CLI. Newer Macs (Apple silicon, 2020 or later) are fastest at the listening step; older Intel Macs work but take longer. A typical question takes about a minute to answer.

Stop scrolling.
Start asking.

Download for macOS Star it on GitHub