mopidyControl a Mopidy music system via Mopidy JSON-RPC for everyday listening, queue management, and playback control. Use when the user wants to search for music...
Install via ClawdBot CLI:
clawdbot install grantmacnamara/mopidyRequires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://your-mopidy-host.example.com/mopidy/rpcAudited Apr 16, 2026 · audit v1.0
Generated Oct 7, 2026
A homeowner runs Mopidy on a Raspberry Pi connected to a multi-room speaker setup. They use this skill via an AI voice or chat assistant to search for music, queue albums, and control playback without opening a separate app. The AI agent handles natural requests like 'queue some jazz for dinner' by matching search results against the local library.
A café owner uses Mopidy to manage playlist rotation during business hours. The skill lets staff ask an AI assistant to check what's playing, skip tracks, or add curated playlists, all through a simple chat interface. This reduces training time and keeps music flowing without manual intervention.
A podcast or community radio producer uses Mopidy to assemble themed episodes around canonical or ranked music lists. They prompt the AI to find the best tracks from an artist or genre, match them against the local library, and queue confirmed matches. The agent reports unmatched tracks so the producer can source them elsewhere.
An educator or music teacher maintains a Mopidy library for classroom listening exercises. Students or the teacher ask the agent to queue essential albums or top tracks by a composer, and the agent uses external ranking knowledge to select appropriate local items. This supports lesson planning and in-class demonstrations.
A workplace admin uses Mopidy to provide focus or ambient music in shared spaces. Employees can ask the AI assistant to add top indie tracks or essential ambient albums to the queue, with the agent matching well-known rankings to the local library. The skill prevents accidental queue clearing and respects current playback unless explicitly told otherwise.
Mopidy is open source and self-hosted, so the skill adds value as a free companion agent for existing Mopidy users. Revenue comes indirectly through donations, sponsorships, or paid support for setup and integration. This model builds community goodwill and drives adoption of the broader ecosystem.
A company offers a hosted Mopidy instance with an AI assistant pre-integrated, targeting cafés, gyms, and offices. Subscription fees cover hosting, music library provisioning, and ongoing maintenance, while the skill handles natural-language queue and playback control. Customers avoid technical setup and get reliable background music automation.
Hardware makers or smart speaker brands license this skill to embed voice-controlled Mopidy playback into their devices. The business model is B2B licensing or per-device royalty, with the skill serving as the natural-language layer over Mopidy JSON-RPC. It differentiates their product with robust local music control and ranked-request handling.
💬 Integration Tip
Ensure MOPIDY_URL points to the /mopidy/rpc endpoint and that curl, jq, and python3 are installed; search first to resolve ambiguous requests, and never clear the queue unless the user explicitly asks.
Scored Oct 7, 2026
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