io.github.Lory97/tag-per-track-mcp

tag-per-track-mcp

Audio analysis and A&R scoring for music tracks: tags, lyrics, artist stats, demo triage.

49/wk 18 tools GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 19d ago

Works with most clients

Transport: stdio, sse

18 tools · ~807 tok

Grade B · 0.4% of 200K ctx

MCPpedia last refreshed this data 10h ago

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io.github.Lory97/tag-per-track-mcp is an MCP server that audio analysis and A&R scoring for music tracks: tags, lyrics, artist stats, demo triage. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 81/100 on MCPpedia's security, maintenance and efficiency rubric.

Other

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "tag-per-track": {
      "env": {
        "TAG_PER_TRACK_API_KEY": "tpt_live_YOUR_STUDIO_API_KEY_HERE"
      },
      "args": [
        "-y",
        "tag-per-track-mcp@latest"
      ],
      "command": "npx"
    }
  }
}

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What io.github.Lory97/tag-per-track-mcp does

Audio analysis and A&R scoring for music tracks: tags, lyrics, artist stats, demo triage.

Test This Server

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Why this score

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Score breakdown

81/100across 5 weighted dimensions

How we score →

0255075100

−19

Security

Maintenance

Efficiency

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Compatibility

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Security

OSV.dev

No known CVEs.

Checked tag-per-track-mcp against OSV.dev.

Inventory

Tools (18)

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~807 tokens total

Community

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Frequently Asked Questions

Is io.github.Lory97/tag-per-track-mcp safe to use?: io.github.Lory97/tag-per-track-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.Lory97/tag-per-track-mcp?: io.github.Lory97/tag-per-track-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.Lory97/tag-per-track-mcp do?: io.github.Lory97/tag-per-track-mcp provides 18 tools: ai_detection, Prompts, Compatibility, Arguments, duration and 13 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.Lory97/tag-per-track-mcp?: io.github.Lory97/tag-per-track-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is io.github.Lory97/tag-per-track-mcp actively maintained?: io.github.Lory97/tag-per-track-mcp is actively maintained - last commit was 19 days ago.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

{ "mcpServers": { "tag-per-track": { "env": { "TAG_PER_TRACK_API_KEY": "tpt_live_YOUR_STUDIO_API_KEY_HERE" }, "args": [ "-y", "tag-per-track-mcp@latest" ], "command": "npx" } } }

Tag-per-Track MCP Server

This project is a local Model Context Protocol (MCP) server that allows AI agents (like Claude) to analyze audio files via the Tag-per-Track API. It authenticates either with a Studio API key (prepaid credits bought on tag-per-track.cloud, no crypto needed) or with a wallet, in which case it automatically handles the USDC micro-payment using the x402 protocol on the Base network.

🚀 Features

analyze_audio Tool (Canonical): Extracts BPM, Genre, Mood, Key, Instruments, production metrics, optional Lyrics (1 credit or 0.15 USDC standard / 2 credits or 0.25 USDC with lyrics), AI-Generated Music Detection (ai_detection: Suno, Udio, neural vocoders with HUMAN, AI_GENERATED, or UNCERTAIN verdicts) and the server-side A&R evaluation (arEvaluation: discovery / signing / beatmaker profiles).

analyze_audio_with_lyrics Tool (Alias): Extracts complete musical metadata, transcribes full vocal lyrics, and returns AI origin integrity metrics (2 credits or 0.25 USDC).

analyze_audio_batch Tool (Parallel Processing): Analyzes multiple music tracks concurrently with AI origin detection on every track, dramatically reducing turnaround time for albums and playlists.

triage_demo_folder Tool (Demo Inbox Triage): Sorts a whole local folder of demos in one call: analysis, artist/title from Artist - Title file names or audio tags, Spotify traction, A&R scoring v2 re-computed with the traction, and a compact ranked report with buckets (priority, listen, pass, ai_flagged, error). Unreliable lyrics (instrumental, no voice, looping hallucination) are flagged instead of quoted.

lookup_artist_stats Tool (A&R Traction): Fetches public Spotify streaming traction (monthly listeners, followers, popularity score, genres) for hybrid A&R qualification.

Selective Audio Compression: Automatically compresses heavy uncompressed files (.wav, .aiff, .aif) or audio files larger than 15 MB to 128 kbps AAC (.m4a) before upload (using native macOS afconvert or ffmpeg), reducing upload bandwidth and latency by up to 90% while leaving lightweight files (.mp3, .m4a $\le 15$ MB) untouched.

Prices in the Right Unit: tool descriptions, prompts and reports state costs in studio credits when a Studio API key is configured, and in USDC only in wallet (x402) mode, so an A&R paying with credits never sees crypto amounts.

Dual Authentication: Studio API key (Authorization: Bearer tpt_live_…, prepaid credits) takes priority over the Web3 wallet.

Automated x402 Payment: Manages the x402 challenge-response cycle (HTTP 402), with the platform wallet and USDC contracts pinned client-side.

Integrated Web3: On-chain signing via viem (EIP-3009 TransferWithAuthorization on Base).

Client-Side Financial Guard (Spending Cap): Built-in spending limit (default 0.50 USDC max per call) protecting your wallet against abnormal requests.

Confidential by Default for x402: Wallet-paid analyses are sent with x-no-persist (not stored server-side); Studio API key analyses are saved to your dashboard history unless TAG_PER_TRACK_NO_PERSIST=1.

Prompts: triage_demos (sort a demo folder into a ranked shortlist and sub-folders), qualify_demo_ar (single demo A&R qualification) and `batch_demo_sc

Frequently Asked Questions

Is io.github.Lory97/tag-per-track-mcp safe to use?

io.github.Lory97/tag-per-track-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.Lory97/tag-per-track-mcp?

io.github.Lory97/tag-per-track-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.Lory97/tag-per-track-mcp do?

io.github.Lory97/tag-per-track-mcp provides 18 tools: ai_detection, Prompts, Compatibility, Arguments, duration and 13 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.Lory97/tag-per-track-mcp?

io.github.Lory97/tag-per-track-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is io.github.Lory97/tag-per-track-mcp actively maintained?

io.github.Lory97/tag-per-track-mcp is actively maintained - last commit was 19 days ago.