Rekordbox
MCP server implementation by Dave Henke that provides AI assistants with direct access to rekordbox DJ software databases through real-time SQLite database connections using pyrekordbox for encrypted database decryption. The implementation offers comprehensive music library management including track searching with BPM/key/genre filters, playlist operations (create, modify, delete), DJ history session analysis, and library statistics, with automatic database backup creation before any write operations to prevent data corruption. Built with FastMCP and featuring both read-only tools for music discovery and mutation tools for playlist management, it serves DJs who want conversational access to their rekordbox libraries for set preparation, music organization, and performance analysis without leaving their AI workflow.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/davehenke/rekordbox-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Rekordbox from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.