mcp-coqui-tts
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TDQS
Scored across 4 tools
speak and synthesize_long_text both perform text-to-speech, but synthesize_long_text is explicitly for longer text with automatic chunking, which sets it apart. clone_voice and list_models are clearly distinct, so overall only minor overlap exists.
Most tools use a verb_noun pattern (list_models, synthesize_long_text, clone_voice), but 'speak' is a bare verb without an object, creating a slight inconsistency. The pattern is still mostly predictable away from this.
With four tools, the server is well-scoped for its TTS purpose: listing models, synthesizing short and long text, and cloning voices. Each tool earns its place, and the count feels neither too thin nor too heavy.
The tool surface covers the core TTS workflows: model discovery, standard and long-form synthesis, and voice cloning. Minor gaps like audio streaming or detailed model management are not essential for a basic TTS server, so the coverage is solid.