A
licenseA
qualityA
maintenanceEnables text-to-speech generation via Fish Audio models, including voice library browsing and task management.
6
5,375 PyPI
1
MIT
Fish Audio MCP Server
by zjandrew
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TDQS
B3.4/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have completely distinct purposes: one manages references, the other generates speech. No overlap or ambiguity.
Naming Consistency5/5
Both tools follow the consistent 'fish_audio_verb_noun' pattern with snake_case, making them predictable and easy to understand.
Tool Count3/5
With only 2 tools, the server feels thin for a TTS service, but it may be appropriate for a minimal integration. The count is borderline but not extreme.
Completeness2/5
The server lacks essential operations like creating/deleting references, listing voices, or setting voice parameters. Users cannot fully manage the TTS workflow, leading to significant gaps.
Maintenance
ActivityInactive
ResponsivenessNo issues