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
29 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 clear, distinct role: generating audio, retrieving individual models, listing models, checking single or batch task status, and providing usage guidance. There is no meaningful overlap between any of the tools.
Naming Consistency5/5
All tools follow a consistent fish_ prefix with a clear verb_noun pattern: generate_audio, get_model, get_task, get_tasks_batch, get_usage_guide, list_models. The naming is predictable and easy to navigate.
Tool Count5/5
Six tools is an appropriate, well-scoped count for a TTS-focused server. Each tool serves a necessary function without redundancy or bloat.
Completeness4/5
The surface covers the core generation workflow: create a task, poll its status, check batches, and browse voice models. Minor gaps like canceling a task or listing all tasks without IDs are absent, but the main workflow is fully supported.
Maintenance
ActivityActive
ResponsivenessNo issues