Py Xiaozhi
by huangjunsen0406
A Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware.
No known CVEs
MIT license
Actively maintained
Last commit 20d ago
Works with most clients
Transport: sse, http
9 tools · ~388 tok
Grade A · 0.2% of 200K ctx
MCPpedia last refreshed this data
Py Xiaozhi is an MCP server that a Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware. Its tool list has not been published yet over sse and http, requires no API key, and scores 74/100 on MCPpedia's security, maintenance and efficiency rubric.
Step 1
Install in your client
Config is the same across clients - only the file and path differ.
CD
Supported in Claude Desktopsse, http · Node 18+
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"py-xiaozhi": {
"url": "<see-readme-for-url>"
}
}
}Are you the author?
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[](https://mcppedia.org/s/py-xiaozhi)
Read me
What Py Xiaozhi does
py-xiaozhi 是一个使用 Python 实现的小智语音客户端，旨在通过代码学习和在没有硬件条件下体验 AI 小智的语音功能。 本仓库是基于xiaozhi-esp32移植
Test This Server
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Scored, not listed
Why this score
Five weighted categories - click any category to see the underlying evidence.
Score breakdown
74/100across 5 weighted dimensions
0255075100
15
14
20
15
10
−26
Security
Maintenance
Efficiency
Documentation
Compatibility
Categoriesclick a row to see evidence
Security
OSV.devNo known CVEs.
No package registry to scan.
Inventory
Tools (9)
Click any tool to inspect its schema.
~388 tokens total
Community
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Frequently Asked Questions
- Is Py Xiaozhi safe to use?
- Py Xiaozhi has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
- How do I install Py Xiaozhi?
- Py Xiaozhi is a hosted remote MCP server - there is no local package to install. Configure your MCP client to connect to its endpoint instead of running it locally.
- What can Py Xiaozhi do?
- Py Xiaozhi provides 9 tools: Memory, Processor, Storage, Audio, maintenance and 4 more. See the full tools list on the server page for descriptions and parameters.
- What AI clients work with Py Xiaozhi?
- Py Xiaozhi is compatible with claude-desktop, cursor, claude-code. It uses sse and http transport.
- Is Py Xiaozhi actively maintained?
- Py Xiaozhi is actively maintained - last commit was 20 days ago. It has 3,487 GitHub stars.
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Community
Discussion
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