A
licenseB
qualityD
maintenanceEnables natural language-driven speech synthesis using Fish Audio's Text-to-Speech API, supporting multiple voices, streaming, and flexible configuration.
2
16 npm
MIT
MCP Fish Server
by AceDataCloud
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TDQS
A3.8/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: listing voices, fetching a single voice, generating audio, polling a single task, polling batches, and fetching documentation. The list/get model and single/batch task pairs are cleanly separated by noun and cardinality.
Naming Consistency5/5
All tools use a consistent fish_ prefix followed by a verb_noun snake_case pattern (list_models, generate_audio, get_model, get_task, get_tasks_batch, get_usage_guide). Naming is fully predictable.
Tool Count5/5
Six tools is well-scoped for a TTS wrapper service, covering discovery, generation, async polling, and help. Every tool earns its place with no redundancy.
Completeness4/5
The TTS lifecycle is well covered: model discovery, audio generation, and both single and batch task polling along with a usage guide. Minor gaps exist (e.g., no voice customization/creation or delete operations), but core workflows are fully supported.
Maintenance
ActivityActive
ResponsivenessNo issues