RWAV Bridge MCP - RWAV Bridge

Core AI Capabilities

Unified Search: tools_search_run provides AI with comprehensive search across Library, TIDAL, and Qobuz in a single operation, returning structured results with artwork and session context.
Smart Content Resolution: AI can leverage tools_track_variants_open to discover and present multiple versions of tracks (remixes, live, acoustic) with intelligent canonical selection.
Context-Aware Browsing: AI can navigate hierarchical content structures using tools_node_open, tools_list_children, and tools_get_actions for deep exploration.

Dynamic Playlist Building: tools_playlist_plan enables AI to create sophisticated transient playlists with strategic positioning (append vs addnext) and artwork integration.
Batch Processing: tools_playlist_execute supports AI-driven bulk operations with verification, error recovery, and position tracking.
Intelligent Track Selection: AI can use tools_library_tracks_pick, tools_genre_tracks_pick, and specialized pickers for curated content discovery.

Zone Intelligence: tools_zones_list and tools_outputs_list provide AI with comprehensive zone topology for intelligent audio routing decisions.
Dynamic Grouping: tools_group_zones and tools_ungroup_zones enable AI to create adaptive audio environments based on context.
Seamless Transfer: tools_transfer_playback allows AI to move audio experiences between zones while maintaining playback state.

Artist Hub Navigation: tools_artist_open provides AI with comprehensive artist overviews including actions, top tracks, and album collections.
Album Context Analysis: tools_album_open delivers album-level intelligence with track listings, artwork, and actionable insights.
Genre-Based Discovery: tools_genres_list and genre-specific tools enable AI to create mood and style-based experiences.

TIDAL Intelligence: tools_tidal_open and TIDAL-specific tools give AI access to curated content, new releases, and personalized recommendations.
Qobuz Integration: tools_qobuz_open provides AI with high-fidelity content discovery and classical music expertise.
Cross-Source Resolution: AI can intelligently select the best source (Library -> TIDAL -> Qobuz) based on content availability and quality.

Radio Station Intelligence: tools_live_radio_list and playback tools enable AI to curate live radio experiences based on user preferences.
Real-Time Content: AI can leverage live radio for dynamic, always-fresh content experiences.
Station Discovery: Intelligent station selection based on genre, mood, and listening patterns.

Context-Aware Playback: tools_now_playing_get provides AI with real-time playback state for intelligent decision-making.
Smart Transport Operations: tools_now_playing_playpause, tools_now_playing_next, and tools_now_playing_previous enable AI to manage playback based on context.
Precision Control: tools_now_playing_seek allows AI to implement intelligent seeking based on content analysis and user behavior.

Smart Queue Management: tools_queue_get provides AI with comprehensive queue state for intelligent playlist management.
Position-Aware Operations: tools_queue_play_from_here enables AI to implement intelligent queue navigation based on context.
Queue Analytics: tools_queue_head_get and tools_queue_tail_get provide efficient queue state verification for AI operations.

Adaptive Volume Control: tools_volume_adjust and tools_volume_set enable AI to implement intelligent volume management based on context and environment.
Output Targeting: AI can precisely control individual outputs within zones for optimized audio experiences.
Safety Intelligence: Built-in volume safeguards prevent AI from making dangerous volume changes.

Bulk Track Operations: tools_tracks_addnext_bulk enables AI to efficiently manage large-scale track additions with position control.
Multi-Track Analysis: tools_track_open_batch_by_query allows AI to analyze multiple tracks simultaneously for intelligent decision-making.
Efficient Content Discovery: Batch operations minimize API calls while maximizing information retrieval.

Automatic Retry Logic: Built-in verification parameters enable AI to implement robust error recovery without manual intervention.
Fallback Strategies: AI can leverage wrapped execution modes that automatically attempt alternative approaches when primary operations fail.
Session Management: Intelligent session handling ensures AI operations remain reliable across extended interactions.

Session-Aware Operations: AI can maintain context across multiple operations using consistent session IDs.
State Management: Tools provide AI with the ability to track and manage complex multi-step operations.
Intelligent Caching: Built-in caching mechanisms optimize AI performance for repeated operations.

Capability Reporting: tools_capabilities provides AI with real-time information about available features and limitations.
Intelligent Tool Selection: AI can dynamically select the most appropriate tools based on the specific task and context.
Performance Optimization: Tools are designed for AI usage patterns with efficient parameter structures and response formats.

Consistent Response Formats: All tools return structured data that AI can easily parse and process.
Artwork Integration: Built-in artwork support enables AI to create visually rich experiences.
Metadata-Rich Responses: Comprehensive metadata enables AI to make intelligent decisions about content and presentation.

Structured Error Reporting: Detailed error responses enable AI to implement intelligent error handling.
Recovery Guidance: Error responses include actionable recommendations for AI to attempt recovery.
Diagnostic Information: Comprehensive diagnostics enable AI to understand and resolve complex issues.