A
licenseNot graded
qualityC
maintenanceEnables Claude and other MCP clients to generate local, offline text-to-speech audio in 31 languages, manage and install voices, and save or play audio files.
Apache 2.0
gemini-tts
by tungtuantran
Related Servers
Alternatives to gemini-tts
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables text-to-speech conversion with smart language detection (using Google TTS for Chinese) and audio file playback with playback controls for Claude Desktop.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables text-to-speech conversion using OpenAI's TTS API, with inline audio playback and history within MCP hosts like Claude.4 npmBSD 3-Clause
- AlicenseAqualityCmaintenanceEnables MCP clients such as Claude Code, Cursor, and VS Code to generate speech through three MiMo TTS models: nine built-in voices (with singing and style/audio tags), voices designed purely from a text description, and voices cloned from a local mp3/wav sample. Audio is streamed and written only inside a sandboxed output directory, with non-overwriting filenames.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables Claude to generate local text-to-speech audio, transcribe audio/video, change voices, and manage voice packs on a Raspberry Pi 5.GPL 3.0
- FlicenseNot gradedqualityDmaintenanceEnables Claude to speak text with an embedded audio player, supporting 54 voices, voice cloning, and playback controls, all running locally.3-
TDQS
A4.1/5.0
Scored across 2 tools
Disambiguation5/5
The two tools are entirely distinct: one generates speech, the other lists generated files. There is no overlap or ambiguity in their purposes.
Naming Consistency5/5
Both tools follow the verb_noun pattern: generate_speech and get_audio_files. The naming is consistent, clear, and predictable.
Tool Count3/5
Two tools is on the thin side for a TTS server, but they cover the core generate and retrieve workflow. It feels slightly minimal rather than unreasonably sparse.
Completeness4/5
The server covers the essential TTS lifecycle: generating speech and listing outputs. Minor gaps exist such as no delete operation or voice selection flexibility, but agents can work around them for basic use.