AgentIndex icon
AgentIndex
py-xiaozhi logo
py-xiaozhi
★ 3.5k
vs
mcp-tts-voicevox logo
mcp-tts-voicevox
★ 16

py-xiaozhi vs mcp-tts-voicevox

py-xiaozhi: py-xiaozhi is a Python-based client for the Xiaozhi AI voice assistant, designed for learning through code and experiencing AI voice features without dedicated hardware. It integrates core AI capabilities like voice interaction, visual multi-modality, and smart wake-up, alongside a rich MCP tool ecosystem and IoT device integration.; mcp-tts-voicevox: This project provides an MCP server for integrating VOICEVOX text-to-speech capabilities into AI clients like Claude Desktop and ChatGPT. It supports advanced features such as client-side interactive audio players, multi-character conversations, and cross-platform compatibility.

01

TL;DR

py-xiaozhi logo
py-xiaozhiVoice / Speech · ★ 3.5k
When to choose:
  • You want to try the Xiaozhi voice assistant on a computer without ESP32 hardware.
  • You want offline wake words with Sherpa-ONNX, echo cancellation and a GUI or command-line mode.
  • You want ready MCP tools such as schedules, timers, music, train tickets, web search and maps.
When to skip:
  • You want a self-contained assistant: AI features depend on the Xiaozhi service.
  • You cannot use Python 3.9 to 3.12, working audio devices and an internet connection.
  • You want to self-host the backend: that is the server projects' job.
Read py-xiaozhi full review →
mcp-tts-voicevox logo
mcp-tts-voicevoxVoice / Speech · ★ 16

Enabling AI assistants (e.g., Claude, ChatGPT) to generate spoken responses.

Read mcp-tts-voicevox full review →
02

Side-by-Side Comparison

Field
py-xiaozhi logopy-xiaozhi
mcp-tts-voicevox logomcp-tts-voicevox
Category
Voice / Speech
Voice / Speech
Stars
★ 3.5k
★ 16
License
MIT
ISC
Install Command
pip install -r requirements.txt
docker compose up -d
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Voice Assistant, Python, Multi-modal AI
Text-to-Speech, VOICEVOX, MCP Protocol
03

Features

py-xiaozhi logopy-xiaozhi
01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
mcp-tts-voicevox logomcp-tts-voicevox
01Interactive Client-Side Audio Player with editing capabilities
02Multi-character conversation support with speaker switching
03Smooth, streaming playback with queue management
04Cross-platform compatibility (Windows, macOS, Linux)
05User dictionary management for VOICEVOX
04

Use Cases

py-xiaozhi logopy-xiaozhi
↳Learning Python AI voice client development
↳Experiencing Xiaozhi AI voice features on PC
↳Remote or automated smart device control
mcp-tts-voicevox logomcp-tts-voicevox
↳Enabling AI assistants (e.g., Claude, ChatGPT) to generate spoken responses.
↳Providing interactive audio playback directly within chat interfaces.
↳Creating multi-speaker dialogues for complex conversations.
↳Generating audio files for various applications.
↳Customizing default speakers for different projects in development environments.
FAQ

FAQ

What is the difference between py-xiaozhi and mcp-tts-voicevox?
Both py-xiaozhi and mcp-tts-voicevox are in the Voice / Speech category. py-xiaozhi has 3.5k stars, while mcp-tts-voicevox has 16 stars.
Which is better, py-xiaozhi or mcp-tts-voicevox?
The best choice depends on your use case. Choose py-xiaozhi if Learning Python AI voice client development, and mcp-tts-voicevox if Enabling AI assistants (e.g., Claude, ChatGPT) to generate spoken responses..
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
Is mcp-tts-voicevox free or open source?
Yes, mcp-tts-voicevox is open source on GitHub (ISC).
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