py-xiaozhi logo
py-xiaozhi
★ 3.5k
vs
notebooklm-mcp logo
notebooklm-mcp
★ 202

py-xiaozhi vs notebooklm-mcp

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.; notebooklm-mcp: NotebookLM REST API + MCP server provides a production-grade automation layer for Google NotebookLM. It offers 33 documented HTTP endpoints for integration with workflow tools like n8n, Zapier, and Make, as well as an MCP server for use with Claude Code, Cursor, and Codex. Key features include citation-backed Q&A, full Studio content generation (audio, video, infographic, report, presentation, data table), multi-account rotation with auto-reauth, and batch processing capabilities.

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.
notebooklm-mcp logo
notebooklm-mcpVoice / Speech · ★ 202

Automate batch Q&A on large document collections with citation verification

02

Side-by-Side Comparison

Field
py-xiaozhi logopy-xiaozhi
notebooklm-mcp logonotebooklm-mcp
Category
Voice / Speech
Voice / Speech
Stars
★ 3.5k
★ 202
License
MIT
MIT
Install Command
pip install -r requirements.txt
git clone https://github.com/roomi-fields/notebooklm-mcp.git && cd notebooklm-mcp && npm install && npm run build && npm run setup-auth && npm run start:http
Updated
1mo ago
4d ago
Open Source
Yes
Yes
Tags
AI Voice Assistant, Python, Multi-modal AI
ai, anthropic, automation
03

Features

py-xiaozhi logopy-xiaozhi
01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
notebooklm-mcp logonotebooklm-mcp
01Citation-backed Q&A with multiple source citation formats
02Full Studio content generation (audio, video, infographic, report, presentation, data table)
03Content download (audio, video, infographic)
04Source management (add files, URLs, text, YouTube, Google Drive)
05Notebook library management with auto-discovery and multi-notebook support
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
notebooklm-mcp logonotebooklm-mcp
↳Automate batch Q&A on large document collections with citation verification
↳Generate podcast-style audio overviews or video explainers from notebook content
↳Integrate NotebookLM capabilities into automated workflows using n8n, Zapier, or custom HTTP clients
FAQ

FAQ

What is the difference between py-xiaozhi and notebooklm-mcp?
Both py-xiaozhi and notebooklm-mcp are in the Voice / Speech category. py-xiaozhi has 3.5k stars, while notebooklm-mcp has 202 stars.
Which is better, py-xiaozhi or notebooklm-mcp?
The best choice depends on your use case. Choose py-xiaozhi if Learning Python AI voice client development, and notebooklm-mcp if Automate batch Q&A on large document collections with citation verification.
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
Is notebooklm-mcp free or open source?
Yes, notebooklm-mcp is open source on GitHub (MIT).
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