A
licenseB
qualityC
maintenanceMCP server for generating images and audio using Google's Gemini AI models.
2
2
MIT
Gemini Audio MCP
by jxoesneon
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TDQS
A3.8/5.0
Scored across 9 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap. The four generation tools target different audio types (music, sfx, soundscape, voice), while utility tools handle distinct lifecycle phases (dependencies, configuration, cleanup, playback). Transition_soundscape is unambiguously a composite operation for scene changes.
Naming Consistency4/5
Strong adherence to snake_case verb_noun pattern (generate_music, cleanup_assets, play_audio). The only deviation is 'configure' which lacks a noun object, though this is idiomatic for settings management. All generation tools use consistent 'generate_' prefix.
Tool Count5/5
Nine tools is well-scoped for an audio generation server. The set covers four generation modes, configuration, dependency checking, playback, cleanup, and transitions without bloat. Each tool earns its place in the audio creation workflow.
Completeness4/5
Covers the full generation lifecycle with creation, playback, configuration, and cleanup capabilities. Minor gap in asset inventory management—there is no tool to list or retrieve specific generated assets by ID, only bulk cleanup by age, though agents may track assets themselves.
Maintenance
ActivityMaintained
ResponsivenessNo issues