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Py Xiaozhi

A Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware.

mcp CodexClaude CodeCursorGeneric
01

At a glance.

A compact read before the deeper capability notes and official setup links.

Fit snapshot
Format MCP
Category mcp
CodexClaude CodeCursorGeneric
02

Core features.

Feature cards focus on what the tool helps users do, not generated setup commands.

01

MCP Tool Ecosystem — Modular JSON-RPC 2.0 tool server: music player, camera, screenshot, app management, weather, volume control

02

WebSocket / MQTT — Dual protocol communication with WSS/TLS encrypted transmission and auto-reconnection

03

Network Connection: Stable internet connection (for AI services and online features)

04

Dependency Injection: Component lifecycle managed via bootstrap container

05

Plugin System: Audio, UI, MCP tools and other components loaded via plugin system

06

Protocol Communication: WebSocket/MQTT dual protocol support, encrypted transmission, auto-reconnection

07

Memory Management: Smart caching, garbage collection

08

Audio Optimization: 5ms low-latency processing, queue management, streaming transmission

04

Agent / Skill / MCP / Workflow fit.

This panel keeps technical format separate from the user-facing AI category.

Tool type MCP
Use categories mcp
Works with Codex, Claude Code, Cursor, Generic
05

Official setup path.

Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.

06

Evidence and adoption notes.

These notes help a user decide whether to investigate the official project further.

Source repository last pushed at 2026-05-18T08:55:09Z.

Generated from source metadata; confirm operational details in the official project before adopting it.

Review the upstream license, maintenance activity, and issue history before using it in production.

Trusted source

Trace the origin before adopting.