MCP Simple AivisSpeech
Related Servers
Alternatives to MCP Simple AivisSpeech
No user-submitted related servers found.
Related Servers
- 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-
- 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.212 npmMIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides text-to-speech capabilities using the Kokoro TTS model, offering multiple voice options and customizable speech parameters.425 npm2MIT
- AlicenseBqualityFmaintenanceA server that enables Claude 3.7 and other AI agents to access VOICEVOX-compatible speech synthesis engines (AivisSpeech, VOICEVOX, COEIROINK) through the Model Context Protocol.112MIT
- 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.7 npm1MIT
- 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 tool's purpose is clearly distinct as it is the only one available.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The tool name follows a clear verb_noun pattern (check_engine_status).
One tool is too few for a server named 'MCP Simple AivisSpeech', which implies speech-related functionality. The scope appears thin, lacking basic operations like text-to-speech or speech-to-text that would be expected in this domain.
The tool set is severely incomplete for a speech-related server. It only checks engine status, missing core functionalities such as generating speech, processing audio, or managing speech settings, which are essential for the apparent purpose.