F
licenseA
qualityC
maintenanceMCP server for text-to-speech synthesis using Azure Speech Services, supporting 6 languages with high-quality neural voices and smart voice selection.
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Gandr TTS
Officialby Gandr-AI
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TDQS
A4.3/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: synthesize for TTS, list_voices for voice metadata, list_languages for language metadata, and get_usage for account status. No two tools overlap in function.
Naming Consistency4/5
Tool names are lowercase with underscores and mostly follow a verb_noun pattern (list_voices, list_languages, get_usage), but synthesize is a bare verb, which is a minor deviation from the pattern.
Tool Count5/5
With four tools, the server is well-scoped: one core operation, two metadata lookups, and one usage check. This is an ideal size for a TTS-focused server.
Completeness5/5
The tool surface covers the essential lifecycle for text-to-speech: the synthesis action, necessary resource discovery (voices/languages), and account monitoring. There are no obvious gaps or dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues