Cover image
Try Now
2025-01-18

允许AI型号连接到ESP32裸露的接口。 AI为ESP32生成了MCP服务器。

3 years

Works with Finder

1

Github Watches

3

Github Forks

7

Github Stars

ESP32 MCP Server

A Model Context Protocol (MCP) implementation for ESP32 microcontrollers, providing a WebSocket-based interface for resource discovery and monitoring.

Status: Not Compiling, initial commit as is from the model

Created with Claude 3.5 Sonet on the commit date (with minor obvioud fixes with automatic formating, etc.)

architecture

Features

  • MCP protocol implementation (v0.1.0)
  • WebSocket server for real-time updates
  • Resource discovery and monitoring
  • WiFi configuration via web interface
  • Thread-safe request handling
  • Comprehensive test suite
  • AsyncWebServer integration
  • LittleFS support for configuration storage

Prerequisites

Hardware

  • ESP32 S3 DevKitC-1 board
  • USB cable for programming

Software

  • PlatformIO Core (CLI) or PlatformIO IDE
  • Python 3.7 or higher
  • Git

Architecture

flowchart TD
    Start[Start Application] --> Setup[Setup]
    Setup -->|Initialize Filesystem| InitFS[Initialize LittleFS]
    Setup -->|Start Network| StartNetwork[Initialize Network Manager]
    Setup -->|Create Tasks| CreateTasks[Create and Assign Tasks]

    subgraph Network
        StartNetwork --> APCheck[Check AP or Connect Mode]
        APCheck -->|Credentials Exist| Connect[Connect to WiFi]
        APCheck -->|No Credentials| StartAP[Start Access Point]
        Connect --> NetworkReady[Network Ready]
        StartAP --> NetworkReady
    end

    subgraph MCP_Server
        MCP[Start MCP Server] --> HandleClient[Handle Client Connections]
        HandleClient --> HandleRequest[Handle Requests]
        HandleRequest -->|WebSocket Events| WebSocket[Handle WebSocket]
        HandleRequest -->|HTTP Endpoints| HTTP[Process HTTP Requests]
    end

    subgraph Metrics
        self[Start Metrics System] --> InitMetrics[Initialize System Metrics]
        InitMetrics --> CollectMetrics[Collect Metrics Periodically]
        CollectMetrics --> SaveMetrics[Save Metrics to Filesystem]
    end

    subgraph Logger
        self[Start uLogger] --> LogMetrics[Log Metrics Data]
        LogMetrics --> CompactLogs[Compact Logs if Necessary]
        CompactLogs -->|Rotates Logs| LogRotation
    end

    CreateTasks -->|Network Task| NetworkTask[Run Network Task on Core]
    CreateTasks -->|MCP Task| MCPTask[Run MCP Server Task on Core]
    NetworkTask --> Network
    MCPTask --> MCP_Server
    MCP_Server --> Metrics
    Metrics --> Logger


Installation

  1. Clone the repository:
git clone https://github.com/yourusername/esp32-mcp-server.git
cd esp32-mcp-server
  1. Install dependencies:
pio pkg install
  1. Build and upload the filesystem:
pio run -t uploadfs
  1. Build and upload the firmware:
pio run -t upload

Usage

Initial Setup

  1. Power on the ESP32. It will create an access point named "ESP32_XXXXXX"
  2. Connect to the access point
  3. Navigate to http://192.168.4.1
  4. Configure your WiFi credentials
  5. The device will connect to your network

MCP Connection

Connect to the MCP server using WebSocket on port 9000:

const ws = new WebSocket('ws://YOUR_ESP32_IP:9000');

// Initialize connection
ws.send(JSON.stringify({
    jsonrpc: "2.0",
    method: "initialize",
    id: 1
}));

// List available resources
ws.send(JSON.stringify({
    jsonrpc: "2.0",
    method: "resources/list",
    id: 2
}));

Testing

Run the test suite:

# Run all tests
pio test -e native

# Run specific test
pio test -e native -f test_request_queue

# Run with coverage
pio test -e native --coverage

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Bora Yalcin
  • Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Callycode Limited
  • A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • XLwebDev.com
  • PR Professional: Guiding You to Get Media Placements and Publicity Quickly and Effectively

  • Jan Meindl
  • Builds new GPTs

  • Khalid kalib
  • Write professional emails

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • OffchainLabs
  • 进行以太坊的实施

  • huahuayu
  • 统一的API网关,用于将多个Etherscan样区块链Explorer API与对AI助手的模型上下文协议(MCP)支持。

  • deemkeen
  • 用电源组合控制您的MBOT2:MQTT+MCP+LLM

    Reviews

    3 (1)
    Avatar
    user_saJ0kmZF
    2025-04-16

    I've been using the Spring Web to MCP Converter and it has truly streamlined my workflow. The effortless integration with my existing Spring applications and the clear, concise documentation by addozhang made the transition to using MCP seamless. Highly recommend it for anyone looking to enhance their MCP framework capabilities!