[External Plugin]: droptrack

[droptrack]

Plugin name

droptrack

Short description

Analyze music tracks with AI and connect GitHub Copilot to a customer's DropTrack catalog through the secure remote MCP server. Search tracks and playlists, inspect audio analysis and metadata, and manage customer-facing music-promotion workflows.

GitHub repository

droptrack/droptrack-ai-integrations

Plugin path inside the repository

No response

Ref to review

v1.0.0

Commit SHA to review

a6aca917bda754d127bdfc1269259e2b0ab68ab5

Version

1.0.0

License identifier

MIT

Author name

DropTrack

Author URL

https://www.droptrack.com/

Homepage URL

https://www.droptrack.com/mcp-ai-assistant/

Keywords

droptrack, music, track-analysis, music-promotion, mcp

Additional notes for reviewers

This is DropTrack's official integration repository. The public plugin connects only to the customer-facing MCP catalog. Track analysis is the primary scenario; administrative capabilities are not advertised or exposed to ordinary customer accounts.

Submission checklist

• The plugin lives in a public GitHub repository.
• The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
• This submission follows this repository's contribution, security, and responsible AI policies.
• This plugin is not already listed in the Awesome Copilot marketplace.

[github-actions]

✅ External plugin intake passed

This submission passed automated intake validation and quality checks and is ready for maintainer review.

• Plugin: droptrack
• Repository: https://github.com/droptrack/droptrack-ai-integrations
• Ref: v1.0.0
• SHA: a6aca917bda754d127bdfc1269259e2b0ab68ab5

Reviewer signals

These are non-blocking heuristics for maintainer review; they are not evidence of misconduct or low quality.

Signal	Result
Repository age	0 day(s)
Repository activity	repository is 0 day(s) old; 0 stars; 0 watchers; 0 forks
Repository counts	0 stars · 0 watchers · 0 forks · 0 open issues/PRs
Homepage heuristics	⚠️ pricing

Quality gate summary

Legend: ✅ pass · ⚠️ warning · 🛑 fail

Gate	Status
spec compliance (non-blocking)	✅ pass
vally lint	✅ pass
install smoke test	✅ pass
version match	✅ pass
ref/sha consistency	✅ pass
canvas structure	⚪ not_run

• spec compliance: pass
• vally lint: pass
• install smoke test: pass
• version match: pass
• ref/sha consistency: pass
• canvas structure: not_run
• overall: pass

spec compliance output (✅ pass)

Agent Plugins v1.0.0 manifest checks passed for plugin.json.

vally lint output (✅ pass)

0 skill(s) linted

install smoke test output (✅ pass)

Install smoke test succeeded. Verified /tmp/external-plugin-quality-n47w61/copilot-home/.copilot/installed-plugins/external-plugin-intake/droptrack/plugin.json.

Version match output

- v1.0.0: matched version "1.0.0" at "plugin.json".
- a6aca917bda754d127bdfc1269259e2b0ab68ab5: matched version "1.0.0" at "plugin.json".

Ref/SHA consistency output

source.ref "v1.0.0" resolves to the same commit as source.sha "a6aca917bda754d127bdfc1269259e2b0ab68ab5".

Canvas structure output

Canvas structure gate skipped because plugin is not tagged with "canvas".

Canonical external.json payload

{
  "name": "droptrack",
  "description": "Analyze music tracks with AI and connect GitHub Copilot to a customer's DropTrack catalog through the secure remote MCP server. Search tracks and playlists, inspect audio analysis and metadata, and manage customer-facing music-promotion workflows.",
  "version": "1.0.0",
  "author": {
    "name": "DropTrack",
    "url": "https://www.droptrack.com/"
  },
  "repository": "https://github.com/droptrack/droptrack-ai-integrations",
  "homepage": "https://www.droptrack.com/mcp-ai-assistant/",
  "license": "MIT",
  "keywords": [
    "droptrack",
    "music",
    "track-analysis",
    "music-promotion",
    "mcp"
  ],
  "source": {
    "source": "github",
    "repo": "droptrack/droptrack-ai-integrations",
    "ref": "v1.0.0",
    "sha": "a6aca917bda754d127bdfc1269259e2b0ab68ab5"
  }
}

View workflow run