Edge TTS MCP
Related Servers
Alternatives to Edge TTS MCP
No user-submitted related servers found.
Related Servers
- 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
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that integrates high-quality text-to-speech capabilities with Claude Desktop and other MCP-compatible clients, supporting multiple voice options and audio formats.17 npm1MIT
- 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.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that gives Claude Code text-to-speech capabilities with support for multiple simultaneous instances, message queuing, and a web UI for monitoring.1-
- FlicenseAqualityDmaintenanceThis MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.4-
- AlicenseAqualityBmaintenanceAn MCP server that wraps the WellSaid Labs text-to-speech API, enabling Claude to generate lifelike voiceovers with voice selection, prosody control, and caption support directly from text.10MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: get_config retrieves settings, list_available_voices provides voice options, and speak performs the core TTS function. The descriptions make it impossible to confuse these three tools.
All tools follow a consistent verb_noun pattern (get_config, list_available_voices, speak) with clear, descriptive names. The naming convention is uniform throughout the set with no deviations.
Three tools is perfectly appropriate for a TTS server's scope: configuration management, voice discovery, and the core speak functionality. Each tool earns its place without being excessive or insufficient.
The tool surface provides complete coverage for the TTS domain: configuration retrieval, voice listing with filtering, and comprehensive speech generation with all key parameters (text, voice, rate, volume, pitch). There are no obvious gaps for typical TTS workflows.