Future task scheduling for workflow automation, collaborator profiles, and publisher information.
Group 13 enables your AI agent to schedule future tasks and automate follow-ups — turning the MCP from a reactive assistant into a proactive workflow engine.
schedule_future_taskDescription: Schedules a future task for the AI agent to execute at a specific date and time. The agent will receive the task prompt at the scheduled time and can take action — send emails, generate reports, follow up on pending items, or continue a multi-step workflow.
Use Cases:
Input Schema:
{\n "execute_at": "2026-08-01T09:00:00.000Z",\n "prompt": "Check if the distribution for release XYZ was approved",\n "target_agent": "music_business_agent",\n "channel": "in-app",\n "context_string": "Release ID: abc-123, Artist: My Artist",\n "timezone": "America/Mexico_City"\n}All fields are required. The context_string should include all relevant IDs and information the agent will need when the task executes. The timezone ensures the task fires at the correct local time.
get_collaborator_profileDescription: Retrieves detailed profile information for a music collaborator (songwriter, producer, composer, lyricist). Includes roles, contact URLs, and external identifiers. Search by UUID, IPI code, or platform identifier.
get_collaborator_identifiersDescription: Returns external platform identifiers for a collaborator — useful for cross-referencing and data enrichment.
get_publisher_profileDescription: Retrieves a music publisher's detailed profile: name, IPI code, contact information, website, and physical address.
get_publisher_identifiersDescription: Returns platform-specific identifiers for a music publisher.