Labelcamp Launches AI Connector for Labels and Distributors

Labelcamp has launched an AI Connector for catalog operations and analytics, alongside separate controls for AI use of recordings.
Labelcamp's AI Connector supports conversational catalog management and analytics. Labelcamp's AI Connector supports conversational catalog management and analytics.

Labelcamp has launched an AI Connector that lets labels and distributors manage supply chain tasks and analyze performance data through conversational artificial intelligence (AI). The IDOL-developed distribution platform says the tool is available immediately to its clients, as well as to IDOL, its distributed labels and their artists.

The connector runs alongside Labelcamp’s dashboard and works with assistants including Claude and ChatGPT. Teams can use plain-language prompts to examine performance on streaming and short-form video platforms, identify releases with rising activity, investigate what drove it and see where listeners discovered the music.

It can also carry out tasks across multiple releases, including changing territorial rights, rescheduling an album and its singles, correcting metadata across an import and adding missing digital service provider (DSP) artist IDs throughout a catalog. Teams can ask why a platform rejected a delivery.

Built on Model Context Protocol (MCP), an open standard for AI integrations, the connector allows assistants to interact securely with Labelcamp data and connect with other software. That includes analyzing ad campaign results from Meta, Spotify and TikTok or accessing project notes in Notion.

Labelcamp has separately introduced controls for how AI companies use rightsholders’ music. The platform can send AI transparency tags to DSPs when AI was involved in a release and set rules for whether recordings may be used for AI training and generation.

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