tts-audio-mcp
Related Servers
Alternatives to tts-audio-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceMCP server for QC 4.1 Light, enabling analysis of sales-call transcripts to produce structured diagnostic reports with evidence-based quotes, breakpoints, and speakable corrections.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceMCP server that enables audio transcription from files (wav, mp4, mp3, flac) or microphone recording, with dynamic tool selection and enterprise-grade security.2MIT

Augentofficial
AlicenseBqualityCmaintenanceMCP server that turns any audio or video source into structured, searchable intelligence for agents, enabling download, transcription, semantic search, speaker identification, and more.225MIT- AlicenseNot gradedqualityCmaintenanceMCP server that converts videos, audio, and meeting recordings into structured transcripts and summaries with multi-backend ASR and automatic fallback.MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for Genesys Cloud Platform API, enabling queue search, conversation analysis, call quality, sentiment, topics, and transcript retrieval.51 npmMIT
- AlicenseNot gradedqualityDmaintenanceA comprehensive audio MCP server that enables AI agents to generate speech, transcribe audio, clone voices, analyze speech quality, design soundscapes, and manage audio assets through a standardized interface.2MIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: transcribe focuses solely on speech-to-text, quality_score on speech metrics, compare_tts on TTS-to-text alignment, and analyze_tts explicitly as a comprehensive bundle. The descriptions make the boundaries clear despite analyze_tts overlapping with the others.
Tool names mostly follow snake_case verb-noun pattern (transcribe, compare_tts, analyze_tts), but quality_score deviates by using a noun-noun form rather than a verb. Overall still readable and predictable, with only minor inconsistency.
Four tools is a well-scoped count for an audio analysis server. Each tool earns its place, offering both specialized operations and a comprehensive aggregate, without unnecessary bloat.
The domain of TTS audio analysis is fully covered: transcription, quality scoring, comparison against expected text, and a full-analysis option. There are no obvious gaps for a debugging workflow, as analyze_tts bundles all core features.