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Pioneer DJ MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

74,519 tools. Last updated 2026-02-23 09:49
  • Retrieve comprehensive statistics and trends from DJ history sessions stored in rekordbox databases to analyze performance patterns.
    Python
    MIT
  • Analyze DJ history sessions by retrieving total plays, trends, and performance statistics from rekordbox databases. Gain insights for track selection and playlist optimization.
    Python
    MIT
  • Retrieve recent DJ performance history sessions from rekordbox databases to analyze past sets and track usage patterns.
    Python
    MIT
  • Retrieve all tracks from a specific DJ history session in rekordbox, including performance context, by providing the session identifier.
    Python
    MIT
  • Retrieve recent DJ session history from rekordbox databases within a specified timeframe, defaulting to the last 30 days.
    Python
    MIT
  • Retrieve DJ history sessions from rekordbox databases to analyze performance data and track metadata for review and organization.
    Python
    MIT

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