edge-tts
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- AlicenseNot gradedqualityDmaintenanceAn MCP server that converts text into lifelike speech using Microsoft Edge's Text-to-Speech service, supporting customizable voice, rate, volume, and pitch.4MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that leverages the Microsoft Edge TTS service to provide high-quality text-to-speech capabilities across over 80 languages. It enables users to generate audio files, query available voices, and create subtitle files using natural language commands.-
- FlicenseAqualityCmaintenanceMCP server for text-to-speech synthesis using Azure Speech Services, supporting 6 languages with high-quality neural voices and smart voice selection.1-
- FlicenseNot gradedqualityBmaintenanceText-to-speech MCP server using Microsoft Edge TTS, supporting multiple voices and async processing.-
- AlicenseAqualityDmaintenanceA cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.32MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.28MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency. The tool name 'generate_speech' follows a clear verb_noun pattern, and there are no other tools to compare or create inconsistency with.
One tool is too few for most practical purposes, as it severely limits functionality. While it covers the core TTS generation, the server lacks tools for managing voices, configurations, or other related operations, making the scope feel incomplete and thin.
The server is severely incomplete for a TTS domain. It only provides speech generation without tools for listing available voices, adjusting speech parameters, or handling audio playback, leaving significant gaps that agents cannot work around effectively.