Speech MCP Server
Related Servers
Alternatives to Speech MCP Server
No user-submitted related servers found.
Related Servers
- 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
- AlicenseBqualityDmaintenanceA Model Context Protocol server that integrates with AivisSpeech to enable AI assistants to convert text to natural-sounding Japanese speech with customizable voice parameters.130 npm8Apache 2.0
- AlicenseDqualityDmaintenanceA Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.230 npmMIT
- 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.6 npm1MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that wraps Volcengine's Text-to-Speech API, allowing users to generate speech from text using natural language parameters for customizing voice type, emotion, and speed.16MIT
- FlicenseDqualityDmaintenanceA Model Context Protocol server that enables AI assistants to utilize AivisSpeech Engine's high-quality voice synthesis capabilities through a standardized API interface.11-
TDQS
Scored across 4 tools
The tools are mostly distinct, but 'text_to_speech' and 'text_to_speech_with_options' could cause confusion as they overlap in core functionality. The other tools ('get_model_status' and 'list_voices') have clear, unique purposes related to system status and voice selection.
All tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., 'get_model_status', 'list_voices', 'text_to_speech'). There are no deviations in naming conventions across the set.
Four tools is a reasonable count for a speech-focused server, though it feels slightly minimal. The tools cover key aspects like status, voice listing, and speech generation, but could potentially benefit from one or two more operations (e.g., stop speech or adjust volume) for better scope.
The server provides core text-to-speech functionality with status and voice listing, but lacks operations for managing speech playback (e.g., pause, stop, or volume control) and advanced customization beyond speed. This creates minor gaps that agents might need to work around for full speech interaction.