Verified conversions across 205 color spaces: CSS strings, gamut checks, .cube LUTs
Tag-per-Track is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Audio analysis and A&R scoring for music tracks: tags, lyrics, artist stats, demo triage.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user tag-per-track-mcp '--' npx -y tag-per-track-mcp
# 2 — ask your agent for something these tools do
# analyze_audio, analyze_audio_with_lyrics, triage_demo_folder and 14 more
Tag-per-Track costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Tag-per-Track as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user tag-per-track-mcp '--' npx -y tag-per-track-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Nothing is required, but it can take TAG_PER_TRACK_API_KEY (Studio API key (tpt_live_...) generated on https://tag-per-track.cloud. Consumes prepaid credits, no crypto wallet needed. Takes priority over the wallet mode.), WALLET_PRIVATE_KEY (Private key of a dedicated Base burner wallet (66 hex chars starting with 0x) for USDC micro-payments via x402. Used only when no API key is set.), MAX_SPENDING_USDC (Client-side spending cap per request in USDC (wallet mode).), TAG_PER_TRACK_NO_PERSIST (Set to 1 or true to keep API-key analyses out of your dashboard history.) if you want to set them.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
17 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Analyzes a music track or audio file to extract musical metadata (BPM, genre, mood, key, instruments), AI music detection verdict (HUMAN vs AI_GENERATED Suno/Udio neural vocoder risk with confidence index in 'ai_detection'), explainable A&R scoring v2 in 'arEvaluation' (discovery / signing /…
No parameter schema on file.
Analyzes an audio track to extract complete musical metadata, AI-generated music detection verdict (HUMAN vs AI_GENERATED Suno/Udio), AND transcribe full vocal lyrics using AI. Supports local audio files via 'filePath' (read in binary and uploaded) or remote URLs via 'fileUrl'. Costs … per track.…
No parameter schema on file.
A&R demo inbox triage in ONE call: scans a local folder of demo submissions (.mp3, .wav, .flac, .m4a, .aiff...), analyzes every track, reads the artist/title from audio tags or 'Artist - Title' file names, fetches Spotify traction per artist, applies A&R scoring v2 and returns a COMPACT ranked…
No parameter schema on file.
Analyzes multiple music tracks or audio files in parallel (batch processing). Vastly reduces total execution time compared to sequential processing. Accepts a list of local file paths ('filePaths') or remote URLs ('fileUrls'), or a structured array of 'tracks'. …
No parameter schema on file.
Retrieves streaming traction and commercial metrics for an artist (Spotify monthly listeners, followers, popularity score) for A&R qualification.
No parameter schema on file.
Comprehensive A&R demo evaluation for record labels and music curators. Combines Essentia acoustic analysis (BPM, key, scale, moods, genres, instruments, lyrics) with real-time Spotify streaming traction (monthly listeners, popularity) to produce an A&R Executive Memo with an Emerging Gem verdict.
No parameter schema on file.
Path to a local audio file on disk (.mp3, .wav, .flac, .m4a, .aiff) or remote public URL of the track
No parameter schema on file.
Artist or band stage name to cross-reference public streaming traction on Spotify (monthly listeners, followers, popularity score)
No parameter schema on file.
Set to 'true' to transcribe full vocal lyrics using AI Whisper and evaluate lyrical themes (… instead of …)
No parameter schema on file.
Curatorial objective: 'label_signing_decision', 'dsp_playlist_pitching', 'sync_licensing', or 'dj_radio_programming'
No parameter schema on file.
Sorts a local folder of demo submissions like an A&R assistant: one triage_demo_folder call, then a ranked shortlist, AI-generated tracks flagged, and a proposal to file the demos into priority / to-listen / pass / AI sub-folders.
No parameter schema on file.
Local folder containing the demo audio files (e.g. ~/Music/Demos - week 39)
No parameter schema on file.
Label identity or what you are looking for (e.g. 'afro / urban, club-ready singles'), used to comment the ranking
No parameter schema on file.
'discovery' (A&R scout, default), 'signing' (label head, weighs streaming traction), 'beatmaker' or 'auto'
No parameter schema on file.
Screens an EP, album, or folder of demo submissions in parallel using analyze_audio_batch. Evaluates energy flow, harmonic key progression, and selects standout lead singles.
No parameter schema on file.
Comma-separated list or JSON array of local audio file paths or remote URLs to analyze in parallel
No parameter schema on file.
Screening objective: 'lead_single_selection', 'tracklist_harmonic_sequencing', or 'demo_drop_filtering'
No parameter schema on file.
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Tag-per-Track or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tools were statically extracted from the published source (5 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| analyze_audio | no tags | |
| analyze_audio_with_lyrics | no tags | |
| triage_demo_folder | sensitive-source | sensitive-source: keyword "list_files" |
| analyze_audio_batch | no tags | |
| lookup_artist_stats | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 1.6.3. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Tag-per-Track can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.