PRO Annual — 50 users, $106.80/year
Stop manually checking music rights or searching through asset libraries. When Claude uses this MCP, you delegate the entire process of identifying background tracks and validating media metadata directly into your GitScrum project workflow. It’s pure content control.
Claude
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Gemini
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JetBrains
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task.delegate()
You create a ticket titled, 'Verify background music for Q3 Demo.' You ask Claude to analyze an attached audio snippet and retrieve all necessary metadata.
Claude autonomously calls the `identify_music_from_url` tool via the ACRCloud MCP, passing the file URL. It then gathers track IDs, artist details, and streaming links.
The resulting metadata report, including confidence scores and platform links (Spotify/YouTube), is automatically attached to the ticket, allowing instant sign-off on asset compliance.
task.create()
Copy. Paste into a Claude-aware GitScrum task. Done.
A client sends an unmarked audio clip and asks if we know what song it is for our presentation.
Claude, I've attached an MP3 file. Please use the ACRCloud Music Recognition MCP to identify this track completely. Provide the artist, album name, and any direct streaming links you find so I can add it to our media asset tracker in GitScrum.
The developer needs royalty-free background music that matches a specific mood or genre for a feature demo video.
I need to find album recommendations. Using the ACRCloud Music Recognition MCP, please search for albums by 'Cinematic' and filter results to only include tracks with high confidence scores. Present them in a clean list format for our backlog review.
The legal team provides a batch of media assets and needs confirmation that the metadata is complete before publishing.
Claude, we're validating media assets. For the ISRC codes listed below, please use the ACRCloud Music Recognition MCP to retrieve all detailed metadata. Report any code for which you cannot find full track information.
Manually managing project assets is a nightmare. You're constantly copy-pasting IDs from Slack threads, jumping between asset management folders, and cross-referencing external databases just to confirm a song's ownership or track details. This process slows down your sprint cycle and introduces compliance risk.
With this MCP, Claude reads the audio source directly via ACRCloud Music Recognition. It instantly pulls rich metadata and streaming links, which you then review and approve right on your GitScrum board. You move from asset discovery to project completion in minutes.
Open this workflow in GitScrum →Before, validating a piece of media required multiple people—a junior PM to search for the song name, another developer to check the audio file integrity, and finally legal to confirm usage rights. These handoffs meant delays and version control headaches.
Now, Claude owns that entire loop. It uses ACRCloud Music Recognition to perform all necessary checks, consolidating deep metadata into a single action item. Your team maintains velocity because content verification is instant.
claude.ask()
Claude, we need a list of top artists related to the genre 'indie pop' that are currently trending. Use the ACRCloud Music Recognition MCP and provide five strong candidates for our next marketing campaign.
I have several audio files for testing. Can Claude use the ACRCloud Music Recognition MCP to run `identify_music_from_url` on all of them, and then compile a summary report detailing which ones failed recognition?
Help me build a metadata matrix for our project's media assets. I want Claude to call the search functions using ACRCloud Music Recognition based on criteria like 'year: 2023' or 'artist: The Beatles'.
Claude, we are planning a video room recording next week. Using the MCP, find three highly rated albums that fit a professional, low-key mood and generate links for all major streaming platforms.
tools.list()
Each tool is one operation Claude runs on your behalf.
| tool_name | operation |
|---|---|
| get_track_by_isrc | Claude can retrieve detailed music metadata for a specific track when you provide its ISRC code. This function helps AI agents quickly verify asset origins. |
| identify_music_from_url | This tool allows Claude to identify an unknown song by sending it an audio file URL (like MP3 or WAV). It’s perfect for confirming background music assets in a sprint ticket. |
| search_albums | Claude uses this function to search the global database specifically for musical albums. You can narrow down results by artist or title, which is useful for content planning in GitScrum. |
| search_artists | When you need to verify an artist's discography details, Claude calls this tool using the artist's name. This helps AI agents build comprehensive media asset reports. |
| search_tracks | Claude can search for specific music tracks by title, artist, or even short lyric fragments. If you're building a feature demo, use this to find exact required background scores. |
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GitScrum lists this MCP as a Vinkius partner. Installations happen on Vinkius.
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