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* otto v1.4.0 MCP 1.使用MCP协议控制机器人 2.gif继承lcdDisplay，避免修改lcdDisplay * otto v1.4.1 gif as components gif as components * electronBot v1.1.0 mcp 1.增加electronBot支持 2.mcp协议 3.gif 作为组件 4.display子类 * 规范代码 1.规范代码 2.修复切换主题死机bug |
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An MCP-based Chatbot
Video
👉 Handcraft your AI girlfriend, beginner's guide【bilibili】
Introduction
This is an open-source ESP32 project, released under the MIT license, allowing anyone to use it for free, including for commercial purposes.
We hope this project helps everyone understand AI hardware development and apply rapidly evolving large language models to real hardware devices.
If you have any ideas or suggestions, please feel free to raise Issues or join the QQ group: 575180511
Control Everything with MCP
As a voice interaction entry, the XiaoZhi AI chatbot leverages the AI capabilities of large models like Qwen / DeepSeek, and achieves multi-terminal control via the MCP protocol.
Features Implemented
- Wi-Fi / ML307 Cat.1 4G
- Offline voice wake-up ESP-SR
- Supports two communication protocols (Websocket or MQTT+UDP)
- Uses OPUS audio codec
- Voice interaction based on streaming ASR + LLM + TTS architecture
- Speaker recognition, identifies the current speaker 3D Speaker
- OLED / LCD display, supports emoji display
- Battery display and power management
- Multi-language support (Chinese, English, Japanese)
- Supports ESP32-C3, ESP32-S3, ESP32-P4 chip platforms
- Device-side MCP for device control (Speaker, LED, Servo, GPIO, etc.)
- Cloud-side MCP to extend large model capabilities (smart home control, PC desktop operation, knowledge search, email, etc.)
Hardware
Breadboard DIY Practice
See the Feishu document tutorial:
👉 "XiaoZhi AI Chatbot Encyclopedia"
Breadboard demo:
Supports 70+ Open Source Hardware (Partial List)
- LiChuang ESP32-S3 Development Board
- Espressif ESP32-S3-BOX3
- M5Stack CoreS3
- M5Stack AtomS3R + Echo Base
- Magic Button 2.4
- Waveshare ESP32-S3-Touch-AMOLED-1.8
- LILYGO T-Circle-S3
- XiaGe Mini C3
- CuiCan AI Pendant
- WMnologo-Xingzhi-1.54TFT
- SenseCAP Watcher
- ESP-HI Low Cost Robot Dog
Software
Firmware Flashing
For beginners, it is recommended to use the firmware that can be flashed without setting up a development environment.
The firmware connects to the official xiaozhi.me server by default. Personal users can register an account to use the Qwen real-time model for free.
👉 Beginner's Firmware Flashing Guide
Development Environment
- Cursor or VSCode
- Install ESP-IDF plugin, select SDK version 5.4 or above
- Linux is better than Windows for faster compilation and fewer driver issues
- This project uses Google C++ code style, please ensure compliance when submitting code
Developer Documentation
- Custom Board Guide - Learn how to create custom boards for XiaoZhi AI
- MCP Protocol IoT Control Usage - Learn how to control IoT devices via MCP protocol
- MCP Protocol Interaction Flow - Device-side MCP protocol implementation
- A detailed WebSocket communication protocol document
Large Model Configuration
If you already have a XiaoZhi AI chatbot device and have connected to the official server, you can log in to the xiaozhi.me console for configuration.
👉 Backend Operation Video Tutorial (Old Interface)
Related Open Source Projects
For server deployment on personal computers, refer to the following open-source projects:
- xinnan-tech/xiaozhi-esp32-server Python server
- joey-zhou/xiaozhi-esp32-server-java Java server
- AnimeAIChat/xiaozhi-server-go Golang server
Other client projects using the XiaoZhi communication protocol:
- huangjunsen0406/py-xiaozhi Python client
- TOM88812/xiaozhi-android-client Android client