Tracktag MCP

Name: Tracktag MCP
Author: adigold

by adigoldversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.adigold/tracktag-mcp

Install

Overview

Description from the maker (original English)

AI music analysis for agents: BPM, key, genres, moods, instruments and 35+ tags per track.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: TRACKTAG_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: TRACKTAG_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tracktag": {
      "command": "npx",
      "args": [
        "-y",
        "tracktag-mcp"
      ],
      "env": {
        "TRACKTAG_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add tracktag --env TRACKTAG_API_KEY=your-value -- npx -y tracktag-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tracktag": {
      "command": "npx",
      "args": [
        "-y",
        "tracktag-mcp"
      ],
      "env": {
        "TRACKTAG_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tracktag": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tracktag-mcp"
      ],
      "env": {
        "TRACKTAG_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

TRACKTAG_API_KEY secret required env
TrackTag API key (tt_live_...) — create at https://tracktag.me/studio, API & MCP tab

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account adigold, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2764 servers in this category
Published to the registry more recently than 18% of the other 2764 servers in this category
Basic checks equal to or better than 100% of the other 2764 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Tracktag MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TRACKTAG_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

TrackTag MCP Server

Let AI agents (Claude Desktop, Claude Code, Cursor, and any MCP-capable client) analyze music with TrackTag: drop an MP3 into your agent, say *"analyze this track"*, and get BPM, key, genres, moods, instruments, energy and 35+ metadata fields back.

Runs entirely on your own computer — your agent app starts it, talks to it directly (no middleman server, so your audio and API key never leave your machine on the way to TrackTag), and stops it when you quit. Analyses are billed from your TrackTag credit balance (1 credit per track with the core model, 2 with ultra); failed analyses are refunded automatically.

Setup

First, get an API key: tracktag.me/studio → API & MCP → Create key (tt_live_…). Free test keys available.

⚡ One-click install (Claude Desktop) — recommended

[Download tracktag.mcpb](https://tracktag.me/downloads/tracktag.mcpb) → double-click it → Claude Desktop opens an install window → paste your API key → done. No config files, no Node.js, nothing to edit. (One Claude quirk: after installing, flip the extension ON in Settings → Extensions.)

Manual config (Cursor, Claude Code, other MCP clients)

Add the server to your agent's MCP config:

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

"mcpServers": { "tracktag": { "command": "npx", "args": ["-y", "tracktag-mcp"], "env": { "TRACKTAG_API_KEY": "tt_live_YOUR_KEY" } } } }

Claude Code:

claude mcp add tracktag -e TRACKTAG_API_KEY=tt_live_YOUR_KEY -- npx -y tracktag-mcp

Cursor (~/.cursor/mcp.json): same JSON block as Claude Desktop.

Tools

Tool	What it does	Cost
`analyze_track`	Analyze a local audio file (mp3/wav/flac/aiff/m4a/ogg, ≤15 MB)	1–2 credits
`analyze_url`	Analyze audio from any https URL (≤60 MB)	1–2 credits
`get_credits`	Remaining credit balance and limits	free
`list_recent_jobs`	Recent API analyses	free

Docs

Full API reference: tracktag.me/developers

Can I analyze multiple tracks? (batching)

Yes — small batches work right in the chat. Drop several audio files into your assistant (or name a folder's worth of tracks) and say *"analyze all of these with TrackTag"* — the agent calls the analysis tool once per track and summarizes the results together. Each track bills its own credit, and the default rate limit (10 requests/minute) makes this comfortable for a handful of tracks at a time.

For real catalog work, use the tools built for it: TrackTag Studio runs 100-file batches with folders, progress tracking and XLSX/CSV/XML exports, and the TrackTag API handles high-volume pipelines with async jobs and webhooks. Same engine, same credits — pick the surface that fits the job: MCP for conversation, Studio for catalogs, API for automation.

"Can't I just drag the MP3 into ChatGPT or Claude and ask?"

Not if you want real, reliable metadata — and here's the honest breakdown.

Claude cannot hear audio, and ChatGPT doesn't musically analyze it. Drop an MP3 into a Claude chat and it sees the file's *name and metadata* — it never processes the actual sound. ChatGPT will at best transcribe any speech in the file; it won't tell you the key, the groove or the instrumentation from the waveform. Whatever "analysis" comes back is largely an educated guess from the title. This MCP server is what gives your assistant real ears.

Some models can accept audio — but a raw model is not an analysis product. TrackTag runs every track through a purpose-built pipeline: audio preprocessing, signal-level analysis of the actual waveform (tempo, tonality, timbre, instrumentation, vocal characteristics, dynamics), an extraction process tuned specifically for music metadata, and validation of every result against a strict 35+ field taxonomy with controlled vocabulary. A one-off chat prompt gives you different fields, different wording and different judgments every single run — fine for curiosity, useless for a catalog.

Consistency is the product. Sync libraries, marketplaces and labels need the same schema, the same vocabulary and the same standards across 10 or 10,000 tracks — plus batch handling and automatic refunds when an analysis fails. That's engineering around the model, not the model itself, and it's what you're getting here.

Your AI assistant does what it's great at — conversation and workflow. TrackTag does what it's built for — turning sound into professional, uniform metadata.

About the creator

TrackTag is built by [Adi Goldstein](https://adigoldstein.com) — a composer and music producer based in Tel Aviv who has spent years on both sides of the problem: writing and licensing music, and wrestling with the metadata that makes it findable. TrackTag exists because tagging a catalog by hand is the least musical part of making music.

It's part of a family of tools Adi builds for musicians and creators:

Project	What it does
TrackTag	AI music tagging — BPM, key, genres, moods and 35+ metadata fields per track, for catalogs, sync libraries and now AI assistants
AGsoundtrax	Curated royalty-free music library for filmmakers, video creators and commercial producers
PromoLinks	Smart links and artist pages for musicians — one URL that routes fans to their preferred streaming platform, with pre-saves and analytics
MakeCanvas	AI-generated Spotify Canvas videos — looping visuals for your tracks, no video editing needed
AG Watermark	Audio watermarking to protect tracks and demos before they're licensed

Questions, ideas, or building something with the TrackTag API? Reach out via tracktag.me/support.

Tracktag MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

TrackTag MCP Server

Setup

⚡ One-click install (Claude Desktop) — recommended

Manual config (Cursor, Claude Code, other MCP clients)

Tools

Docs

Can I analyze multiple tracks? (batching)

"Can't I just drag the MP3 into ChatGPT or Claude and ask?"

About the creator