oai-tts
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Alternatives to oai-tts
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AlicenseNot gradedqualityDmaintenanceEnables text-to-speech generation, voice cloning, dialogue creation, and other TTS operations through natural language in MCP-compatible AI assistants.12 npmMIT- AlicenseNot gradedqualityDmaintenanceProvides text-to-speech functionality using OpenAI's TTS API, enabling text-to-speech conversion, voice listing, and model listing.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to speak aloud by generating and playing audio through the system output. Supports multiple TTS providers, playback queue management, and configurable voice profiles.32 npm1MIT
- AlicenseAqualityDmaintenanceEnables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.114 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to convert text to speech using Microsoft Edge's Text-to-Speech service with customizable voice options, speech rate, volume, and pitch parameters.MIT
- AlicenseNot gradedqualityDmaintenanceEnables speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.GPL 3.0
TDQS
Scored across 2 tools
The two tools have entirely distinct purposes: list_voices enumerates available voices, while text_to_speech synthesizes audio and uploads it. There is no plausible way to confuse them, and the descriptions make the boundary explicit.
Both names use consistent snake_case, which is predictable. minor deviation: list_voices follows a verb_noun pattern while text_to_speech is a noun phrase (verb implied), so it is not a perfectly uniform convention.
With only two tools the surface is thin even for a narrowly scoped TTS server, which could reasonably expose model listing, voice preview, or audio retrieval operations. It is not a mismatch, but it sits at the borderline of minimal coverage.
The core lifecycle (discover voices, then synthesize speech) is covered, including fallback behavior and defaults for voice/speed. Missing secondary operations like previewing a voice or listing models are gaps agents can work around.