Manage LabelGrid music distribution data and workflows with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LabelGrid MCP Server" yet — see the docs or source repo.
List the most recently created releases in LabelGrid and summarize each release name, release date, and current distribution status.
A structured list of releases with key fields and status summaries for quick catalog review.
Fetch recent analytics and royalty information for a specific release, summarize the key metrics by time range, and highlight trends.
An overview of analytics and royalties for the release, useful for performance reviews or revenue checks.
Review the files and webhook configuration linked to a release, list existing items, and flag anything that may need follow-up.
A summary of current files and webhook settings to help verify assets and notification setup.
Music distribution teams or developers can use natural language to access catalog, release, and file information in LabelGrid, reducing the need for direct API calls.
Operations staff or data analysts can query analytics and royalty data to quickly understand release performance and revenue-related information.
Developers can inspect distribution workflows and webhook-related settings to help verify integrations and automated notification flows.
This is LabelGrid's official MCP server for managing catalogs, releases, files, analytics, royalties, webhooks, and distribution on its music distribution platform through natural language. It is essentially a thin wrapper over the LabelGrid public API.
Based on the description, it works on top of the LabelGrid public API, so access to the platform and its API is typically required. Specific authentication, API key, or runtime details were not provided; see the source repository.
The description says it is a thin wrapper over the public API, with the main benefit being natural-language access to related resources and workflows. Lower-level interface details and exact coverage were not specified in the provided materials.
Create HTML labeling forms for ambiguous data and securely collect results.
Manage Labellerr annotation projects, datasets, and monitoring through AI assistants.
Query and manipulate GRID spreadsheets with natural language through the GRID API.
Manage YouTube Music playlists and get song suggestions through conversation.
Read, write, and compile music notation collaboratively through an MCP server.
Manage scheduled email sending jobs with Cron and SendGrid automation.