AgentIndex icon
AgentIndex
mcp-tts logo
mcp-tts
★ 74
vs
py-xiaozhi logo
py-xiaozhi
★ 3.5k

mcp-tts vs py-xiaozhi

mcp-tts: `mcp-tts` is an MCP server that integrates various Text-to-Speech providers, including local macOS `say` and cloud APIs like ElevenLabs, Google TTS, and OpenAI TTS, into AI agent environments. It enables AI agents within tools like Claude Desktop and Cursor IDE to verbalize plans, summaries, and alerts, enhancing interactive communication.; 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.

01

TL;DR

mcp-tts logo
mcp-ttsVoice / Speech · ★ 74

Add Text-to-Speech capabilities to AI agent development environments (e.g., Claude Desktop, Cursor IDE) for interactive feedback.

Read mcp-tts full review →
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 →
02

Side-by-Side Comparison

Field
mcp-tts logomcp-tts
py-xiaozhi logopy-xiaozhi
Category
Voice / Speech
Voice / Speech
Stars
★ 74
★ 3.5k
License
MIT
MIT
Install Command
go install github.com/blacktop/mcp-tts@latest
pip install -r requirements.txt
Updated
3d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Text-to-Speech, TTS, MCP Protocol
AI Voice Assistant, Python, Multi-modal AI
03

Features

mcp-tts logomcp-tts
01Integrates multiple TTS providers: macOS `say`, Voice (local Qwen3-TTS), ElevenLabs, Google TTS, and OpenAI TTS.
02Supports the Model Context Protocol (MCP) for seamless integration with AI agent platforms like Claude Desktop, Claude Code, Codex CLI, and Gemini CLI.
03Offers configuration for sequential or concurrent speech playback, suppression of "Speaking:" output, and saving audio to disk.
04Includes a `speak` skill for automatic vocalization of agent plans, issue resolutions, summaries, and state changes.
05Provides options for various voices, quality models, speed control, and custom voice instructions for cloud TTS providers.
py-xiaozhi logopy-xiaozhi
01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
04

Use Cases

mcp-tts logomcp-tts
↳Add Text-to-Speech capabilities to AI agent development environments (e.g., Claude Desktop, Cursor IDE) for interactive feedback.
↳Automatically vocalize AI agent outputs such as finalized plans, resolved issues, and task summaries.
↳Alert users audibly when long-running operations change state or when human intervention is required.
↳Utilize local-only TTS (macOS `say`, Voice) for privacy-sensitive applications or environments without internet access.
↳Enhance accessibility and user experience by providing auditory feedback from AI tools.
py-xiaozhi logopy-xiaozhi
↳Learning Python AI voice client development
↳Experiencing Xiaozhi AI voice features on PC
↳Remote or automated smart device control
FAQ

FAQ

What is the difference between mcp-tts and py-xiaozhi?
Both mcp-tts and py-xiaozhi are in the Voice / Speech category. mcp-tts has 74 stars, while py-xiaozhi has 3.5k stars.
Which is better, mcp-tts or py-xiaozhi?
The best choice depends on your use case. Choose mcp-tts if Add Text-to-Speech capabilities to AI agent development environments (e.g., Claude Desktop, Cursor IDE) for interactive feedback., and py-xiaozhi if Learning Python AI voice client development.
Is mcp-tts free or open source?
Yes, mcp-tts is open source on GitHub (MIT).
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
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