[{"_1":2,"_400":-5,"_401":-5},"loaderData",{"_3":4,"_53":54,"_55":56,"_57":58,"_303":304},"root",{"_5":6,"_49":50,"_51":52},"appGlobal",{"_7":8,"_38":39,"_40":41},"config",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":-5,"_24":25,"_26":27,"_28":29,"_30":31,"_32":33,"_34":31,"_35":31,"_36":37},"APP_URL","https://glama.ai","CLIENT_ASSETS_URL","https://static.glama.ai/client/","ENVIRONMENT","LIVE","FACEBOOK_PIXEL_ID","1988603181578092","GOOGLE_ANALYTICS_MEASUREMENT_ID","G-GDQ5NW5CB5","GOOGLE_OAUTH2_CLIENT_ID","48173796263-7ohlqirg28gh2a7nel61coff3m1ogjtc.apps.googleusercontent.com","INTERCOM_APP_ID","wgcqevfz","INTERCOM_USER_HASH","POSTHOG_API_KEY","phc_aK0RnJxBEBRE0h0LIz21yyc9w6ylBxwUHMPB4712Bjc","REDDIT_PIXEL_ID","a2_fcqsoymvje51","RELEASE_VERSION","glama@aa9d1aa3","SENTRY_DRY_RUN",false,"SENTRY_DSN","https://fc82aa9f808b13927ff29c56bda4d486@o4507975513735168.ingest.us.sentry.io/4507975514849280","SENTRY_SPOTLIGHT","SENTRY_TRACE","STRIPE_PUBLIC_KEY","pk_live_51QpZQ32LV3sZcHqzHlFuNhgSfggSNaQqCzZw9EMJ8tbhpQyZgcwQj1vz168FxQ35EGRcztKu2MankxiSs7zLCF4g00blUverGs","viewportWidth",1280,"visitorSession",{"_42":43,"_45":-5,"_46":47,"_48":-5},"attributes",[44],"BOT","membership","uid","fMED4a0sFv","userAccount","nonce","8cdb9cb7cad4521ebb5b9337dd884d17","toasts",[],"routes/_public/_layout",{},"routes/_public/mcp/servers/~uid/_layout",{},"routes/_public/mcp/servers/~uid/_pages/_layout",{"_59":-5,"_60":61,"_222":223},"githubUser","mcpServer",{"_62":63,"_64":65,"_42":77,"_86":87,"_88":87,"_89":90,"_95":96,"_118":119,"_120":121,"_122":123,"_114":155,"_156":-5,"_157":-5,"_158":159,"_160":161,"_168":-5,"_169":170,"_175":-5,"_176":177,"_181":182,"_46":219,"_220":221},"addedAt",["D",1741478867390],"argumentsJsonSchema",{"_66":67,"_68":69,"_70":71},"type","object","required",[],"properties",{"_7":72},{"_66":73,"_74":7,"_75":76},"string","default","description","Specifies the configuration file name to use (without the _config.yaml suffix)",[78,79,80,81,82,83,84,85],"category:home-automation-and-iot","category:os-automation","category:developer-tools","hosting:local-only","language:python","security_grade:a","quality_grade:a","license_grade:a","descriptionMarkdown","A bridge that connects physical hardware devices with AI large language models via serial communication, allowing users to control hardware using natural language commands.","descriptionPlainText","githubProject",{"_91":92,"_93":94},"readme","# MCP2Serial: 连接物理世界与AI大模型的桥梁 \n\n[English](README_EN.md) | 简体中文\n\n

\n $\"MCP2Serial$ \n

通过自然语言控制硬件，开启物联网新纪元

\n\n## 系统架构\n\n

\n $\"系统架构图\"$ \n

MCP2Serial 系统架构图

\n\n## 工作流程\n\n

\n $\"工作流程图\"$ \n

MCP2Serial 工作流程图

\n\n## 项目愿景\n\nMCP2Serial 将串口设备接入AI大模型的项目，它通过 Model Context Protocol (MCP) 将物理世界与 AI 大模型无缝连接。最终实现：\n- 用自然语言控制你的硬件设备\n- AI 实时响应并调整物理参数\n- 让你的设备具备理解和执行复杂指令的能力\n\n## 主要特性\n\n- **智能串口通信**\n - 自动检测和配置串口设备用户也可指定串口号\n - 支持多种波特率（默认 115200）\n - 实时状态监控和错误处理\n\n- **MCP 协议集成**\n - 完整支持 Model Context Protocol\n - 支持资源管理和工具调用\n - 灵活的提示词系统\n\n## 支持的客户端\n\nMCP2Serial 支持所有实现了 MCP 协议的客户端，包括：\n\n| 客户端 | 特性支持 | 说明 |\n|--------|----------|------|\n| Claude Desktop | 完整支持 | 推荐使用，支持所有 MCP 功能 |\n| Continue | 完整支持 | 优秀的开发工具集成 |\n| Cline | 资源+工具 | 支持多种 AI 提供商 |\n| Zed | 基础支持 | 支持提示词命令 |\n| Sourcegraph Cody | 资源支持 | 通过 OpenCTX 集成 |\n| Firebase Genkit | 部分支持 | 支持资源列表和工具 |\n\n## 支持的 AI 模型\n\n得益于灵活的客户端支持，MCP2Serial 可以与多种 AI 模型协同工作：\n\n### 云端模型\n- OpenAI (GPT-4, GPT-3.5)\n- Anthropic Claude\n- Google Gemini\n- AWS Bedrock\n- Azure OpenAI\n- Google Cloud Vertex AI\n\n### 本地模型\n- LM Studio 支持的所有模型\n- Ollama 支持的所有模型\n- 任何兼容 OpenAI API 的模型\n\n### 准备\nPython3.11 或更高版本\nClaude Desktop 或 Cline\n\n\n## 快速开始\n\n### 1. 安装\n\n#### Windows用户\n下载 [install.py](https://raw.githubusercontent.com/mcp2everything/mcp2serial/main/install.py) \n```bash\npython install.py\n```\n#### macOS用户\n```bash\n# 下载安装脚本\ncurl -O https://raw.githubusercontent.com/mcp2everything/mcp2serial/main/install_macos.py\n\n# 运行安装脚本\npython3 install_macos.py\n```\n\n#### Ubuntu/Raspberry Pi用户\n```bash\n# 下载安装脚本\ncurl -O https://raw.githubusercontent.com/mcp2everything/mcp2serial/main/install_ubuntu.py\n\n# 运行安装脚本\npython3 install_ubuntu.py\n```\n\n安装脚本会自动完成以下操作：\n- ✅ 检查系统环境\n- ✅ 安装必要的依赖\n- ✅ 创建默认配置文件\n- ✅ 配置Claude桌面版（如果已安装）\n- ✅ 检查串口设备\n\n### 手动分步安装依赖\n```bash\nwindows\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\nMacOS\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n主要依赖uv工具，所以当python和uv以及Claude或Cline安装好后就可以了。\n\n### 基本配置\n在你的 MCP 客户端（如 Claude Desktop 或 Cline）配置文件中添加以下内容：\n注意：如果使用的自动安装那么会自动配置Calude Desktop无需此步。\n使用默认配置文件：\n```json\n{\n \"mcpServers\": {\n \"mcp2serial\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp2serial\"\n ]\n }\n }\n}\n```\n> 注意：修改配置后需要重启Cline或者Claude客户端软件\n\n配置串口和命令：\n注意下面的配置默认为COM11 需要根据实际进行修改\n```yaml\n# config.yaml\nserial:\n port: COM11 # 或自动检测\n baud_rate: 115200 # 可选，默认 115200\n timeout: 1.0 # 可选，默认 1.0\n read_timeout: 1.0 # 读取超时时间，1秒内不应答则报错\n response_start_string: OK # 可选，串口应答的开始字符串，默认为OK\n\ncommands:\n set_pwm:\n command: \"PWM {frequency}\\n\"\n need_parse: false\n prompts:\n - \"把PWM调到{value}\"\n```\n## 配置说明\n### 配置文件位置\n\n配置文件（`config.yaml`）可以放在不同位置，程序会按以下顺序查找：\n\n#### 1. 当前工作目录（适合开发测试）\n- 路径：`./config.yaml`\n- 示例：如果你在 `C:\\Projects` 运行程序，它会查找 `C:\\Projects\\config.yaml`\n- 适用场景：开发和测试\n- 不需要特殊权限\n\n#### 2. 用户主目录（推荐个人使用）\n```bash\n# Windows系统\nC:\\Users\\用户名\\.mcp2serial\\config.yaml\n\n# macOS系统\n/Users/用户名/.mcp2serial/config.yaml\n\n# Linux系统\n/home/用户名/.mcp2serial/config.yaml\n```\n- 适用场景：个人配置\n- 需要创建 `.mcp2serial` 目录：\n ```bash\n # Windows系统（在命令提示符中）\n mkdir \"%USERPROFILE%\\.mcp2serial\"\n \n # macOS/Linux系统\n mkdir -p ~/.mcp2serial\n ```\n\n#### 3. 系统级配置（适合多用户环境）\n```bash\n# Windows系统（需要管理员权限）\nC:\\ProgramData\\mcp2serial\\config.yaml\n\n# macOS/Linux系统（需要root权限）\n/etc/mcp2serial/config.yaml\n```\n- 适用场景：多用户共享配置\n- 创建目录并设置权限：\n ```bash\n # Windows系统（以管理员身份运行）\n mkdir \"C:\\ProgramData\\mcp2serial\"\n \n # macOS/Linux系统（以root身份运行）\n sudo mkdir -p /etc/mcp2serial\n sudo chown root:root /etc/mcp2serial\n sudo chmod 755 /etc/mcp2serial\n ```\n\n程序会按照上述顺序查找配置文件，使用找到的第一个有效配置文件。根据你的需求选择合适的位置：\n- 开发测试：使用当前目录\n- 个人使用：建议使用用户主目录（推荐）\n- 多用户环境：使用系统级配置（ProgramData或/etc）\n\n### 串口配置命令配置进阶\n在 `config.yaml` 中添加自定义命令：\n默认不使用真实串口用模拟串口来演示则无需修改\n```yaml\nserial:\n # 串口配置\n port: LOOP_BACK # 可选，如果不指定则自动查找。设置为LOOP_BACK时启用回环模式，发送什么就接收什么\n baud_rate: 115200 # 可选，默认 115200\n timeout: 1.0 # 可选，默认 1.0\n read_timeout: 1.0 # 读取超时时间，1秒内不应答则报错\n response_start_string: CMD # 可选，串口应答的开始字符串，默认为OK\n\ncommands:\n # PWM控制命令\n set_pwm:\n command: \"CMD_PWM {frequency}\" # 实际发送的命令格式，server会自动添加\\r\\n\n need_parse: false # 不需要解析响应内容\n prompts:\n - \"把PWM调到最大\"\n - \"把PWM调到最小\"\n - \"请将PWM设置为{value}\"\n - \"关闭PWM\"\n - \"把PWM调到一半\"\n```\n\n使用真实串口\n```yaml\n# config.yaml\nserial:\n port: COM11 # 或自动检测\n baud_rate: 115200 # 可选，默认 115200\n timeout: 1.0 # 可选，默认 1.0\n read_timeout: 1.0 # 读取超时时间，1秒内不应答则报错\n response_start_string: OK # 可选，串口应答的开始字符串，默认为OK\n\ncommands:\n set_pwm:\n command: \"PWM {frequency}\\n\"\n need_parse: false\n prompts:\n - \"把PWM调到{value}\"\n```\n指定配置文件：\n比如指定加载Pico配置文件：Pico_config.yaml\n```json\n{\n \"mcpServers\": {\n \"mcp2serial\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp2serial\",\n \"--config\",\n \"Pico\" //指定配置文件名，不需要添加_config.yaml后缀\n ]\n }\n }\n}\n```\n为了能使用多个串口，我们可以新增多个mcp2serial的服务指定不同的配置文件名即可。\n如果要接入多个设备，如有要连接第二个设备：\n指定加载Pico2配置文件：Pico2_config.yaml\n```json\n{\n \"mcpServers\": {\n \"mcp2serial2\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp2serial\",\n \"--config\",\n \"Pico2\" //指定配置文件名，不需要添加_config.yaml后缀\n ]\n }\n }\n}\n```\n\n### 响应解析说明\n\n1. 简单响应（`need_parse: false`）：\n - 设备返回 \"OK\" 开头的消息表示成功\n - 其他响应将被视为错误\n\n2. 需要解析的响应（`need_parse: true`）：\n - 完整响应将在 `result.raw` 字段中返回\n - 可以在应用层进行进一步解析\n\n\n### 硬件连接\n\n1. 将你的设备通过USB连接到电脑\n2. 打开设备管理器，记下设备的COM端口号\n3. 在`config.yaml`中配置正确的端口号和波特率\n\n

\n $\"硬件连接示例\"$ \n

硬件连接和COM端口配置

\n\n### 启动客户端Claude 桌面版或Cline\n\n

\n $\"Cline$ \n

Example in Claude

\n $\"Cline$ \n

Example in Cline

\n\n### 硬件编程\nfirmware可以在项目仓库中下载，目前演示的是Pico的micropython代码案例。另存到Pico开发板运行即可。\n\n### 从源码快速开始\n1. 从源码安装\n```bash\n# 通过源码安装：\ngit clone https://github.com/mcp2everything/mcp2serial.git\ncd mcp2serial\n\n# 创建虚拟环境\nuv venv .venv\n\n# 激活虚拟环境\n# Windows:\n.venv\\Scripts\\activate\n# Linux/macOS:\nsource .venv/bin/activate\n\n# 安装开发依赖\nuv pip install --editable .\n```\n\n2. 配置串口和命令：\n默认不使用真实串口用模拟串口来演示\n如果你的电脑没有串口或者目前没有串口可用\n可以将port参数设置为LOOP_BACK，这样就可以在命令行直接发送命令了\n但同时请修改应答OK的命令的起始符需要和发送的命令一样。\n比如发送LED_ON\n那么应答起始符也是LED_ON\n```yaml\nserial:\n # 串口配置\n port: LOOP_BACK # 可选，如果不指定则自动查找。设置为LOOP_BACK时启用回环模式，发送什么就接收什么\n baud_rate: 115200 # 可选，默认 115200\n timeout: 1.0 # 可选，默认 1.0\n read_timeout: 1.0 # 读取超时时间，1秒内不应答则报错\n response_start_string: CMD # 可选，串口应答的开始字符串，默认为OK\n\ncommands:\n # PWM控制命令\n set_pwm:\n command: \"CMD_PWM {frequency}\" # 实际发送的命令格式，server会自动添加\\r\\n\n need_parse: false # 不需要解析响应内容\n prompts:\n - \"把PWM调到最大\"\n - \"把PWM调到最小\"\n - \"请将PWM设置为{value}\"\n - \"关闭PWM\"\n - \"把PWM调到一半\"\n```\n\n如果使用真实串口\n```yaml\n# config.yaml\nserial:\n port: COM11 # 或自动检测\n baud_rate: 115200 # 可选，默认 115200\n timeout: 1.0 # 可选，默认 1.0\n read_timeout: 1.0 # 读取超时时间，1秒内不应答则报错\n response_start_string: OK # 可选，串口应答的开始字符串，默认为OK\n\ncommands:\n set_pwm:\n command: \"PWM {frequency}\\n\"\n need_parse: false\n prompts:\n - \"把PWM调到{value}\"\n```\n\n\n\n### MCP客户端配置\n\n在使用支持MCP协议的客户端（如Claude Desktop或Cline）时，需要在客户端的配置文件中添加以下内容：\n直接自动安装的配置方式\n源码开发的配置方式\n#### 使用默认演示参数：\n```json\n{\n \"mcpServers\": {\n \"mcp2serial\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"你的实际路径/mcp2serial\", // 例如: \"C:/Users/Administrator/Documents/develop/my-mcp-server/mcp2serial\"\n \"run\",\n \"mcp2serial\"\n ]\n }\n }\n}\n```\n#### 指定参数文件名\n```json\n{\n \"mcpServers\": {\n \"mcp2serial\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"你的实际路径/mcp2serial\", // 例如: \"C:/Users/Administrator/Documents/develop/my-mcp-server/mcp2serial\"\n \"run\",\n \"mcp2serial\",\n \"--config\", // 可选参数，指定配置文件名\n \"Pico\" // 可选参数，指定配置文件名，不需要添加_config.yaml后缀\n ]\n }\n }\n}\n```\n\n3. 运行服务器：\n```bash\n# 确保已激活虚拟环境\n.venv\\Scripts\\activate\n\n# 运行服务器（使用默认配置config.yaml 案例中用的LOOP_BACK 模拟串口，无需真实串口和串口设备）\nuv run src/mcp2serial/server.py\n或\nuv run mcp2serial\n# 运行服务器（使用指定配置Pico_config.yaml）\nuv run src/mcp2serial/server.py --config Pico\n或\nuv run mcp2serial --config Pico\n```\n\n\n## 文档\n\n- [安装指南](./docs/zh/installation.md)\n- [API文档](./docs/zh/api.md)\n- [配置说明](./docs/zh/configuration.md)\n\n\n## 应用场景\n\n1. **智能家居自动化**\n - 通过自然语言控制灯光、风扇等设备\n - AI 根据环境自动调节设备参数\n\n2. **工业自动化**\n - 智能控制生产线设备\n - 实时监控和调整工艺参数\n\n3. **教育和研究**\n - 物联网教学演示\n - 硬件控制实验平台\n\n4. **原型开发**\n - 快速验证硬件控制方案\n - 简化开发流程\n\n## 🚀 项目发展规划\n\n### 第一阶段：协议扩展\n- **工业协议支持**\n - MODBUS RTU/TCP\n - OPC UA\n - MQTT\n - CoAP\n - TCP/IP Socket\n \n- **硬件接口扩展**\n - I2C\n - SPI\n - CAN\n - 1-Wire\n - GPIO\n\n### 第二阶段：MCP2Anything 平台\n- **统一集成平台**\n - 可视化配置界面\n - 一键启用各类协议\n - 实时监控仪表盘\n - 设备管理系统\n\n- **智能功能**\n - 协议自动检测\n - 设备自动发现\n - 参数智能优化\n - 异常预警系统\n\n### 第三阶段：生态系统建设\n- **插件市场**\n - 协议插件\n - 设备驱动\n - 自定义功能模块\n - 社区贡献集成\n\n- **云服务集成**\n - 设备云管理\n - 远程控制\n - 数据分析\n - AI 训练平台\n\n### 第四阶段：行业解决方案\n- **垂直领域适配**\n - 工业自动化\n - 智能建筑\n - 农业物联网\n - 智慧城市\n\n- **定制化服务**\n - 行业协议适配\n - 专业技术支持\n - 解决方案咨询\n - 培训服务\n\n## 🔮 愿景展望\n\nMCP2Serial 正在开启物联网的新篇章：\n\n- **协议统一**: 通过 MCP2Anything 平台实现全协议支持\n- **即插即用**: 一键配置，自动发现，零门槛使用\n- **AI 赋能**: 深度集成 AI 能力，实现智能决策\n- **开放生态**: 建立活跃的开发者社区和插件市场\n\n## 未来展望\n\nMCP2Serial 正在开启物联网的新篇章：\n\n- **多协议支持**: 计划支持更多通信协议（I2C、SPI等）\n- **设备生态**: 建立开放的设备支持生态系统\n- **AI 增强**: 集成更多 AI 能力，提供更智能的控制逻辑\n- **可视化**: 开发直观的监控和配置界面\n\n## 相关资源\n\n- [MCP 协议规范](https://modelcontextprotocol.io/)\n- [项目文档](docs/)\n- [示例代码](examples/)\n- [常见问题](docs/FAQ.md)\n\n## 参与贡献\n\n我们欢迎各种形式的贡献，无论是新功能、文档改进还是问题报告。查看 [贡献指南](CONTRIBUTING.md) 了解更多信息。\n\n## 许可证\n\n本项目采用 MIT 许可证 - 详见 [LICENSE](LICENSE) 文件\n","url","https://github.com/mcp2everything/mcp2serial","githubRepository",{"_97":98,"_99":100,"_101":102,"_103":104,"_105":106,"_110":111,"_112":113,"_116":117},"defaultBranch","main","fullName","mcp2everything/mcp2serial","githubTreeId",74069,"language","Python","owner",{"_107":108,"_109":31},"login","mcp2everything","verified","recentStargazers",1,"spdxLicense",{"_114":115},"name","MIT License","stargazers",5,"id",1469,"inspectable",true,"integrations",[124,134,141,148],{"_125":126,"_75":132,"_46":133},"brand",{"_127":128,"_114":129,"_130":131},"logoSvgPath","M11.04 19.32Q12 21.51 12 24q0-2.49.93-4.68.96-2.19 2.58-3.81t3.81-2.55Q21.51 12 24 12q-2.49 0-4.68-.93a12.3 12.3 0 0 1-3.81-2.58 12.3 12.3 0 0 1-2.58-3.81Q12 2.49 12 0q0 2.49-.96 4.68-.93 2.19-2.55 3.81a12.3 12.3 0 0 1-3.81 2.58Q2.49 12 0 12q2.49 0 4.68.96 2.19.93 3.81 2.55t2.55 3.81","Google Gemini","slug","google-gemini","Compatible with Google Gemini models through MCP clients, enabling natural language control of connected hardware.","fv2s9o04qr",{"_125":135,"_75":139,"_46":140},{"_127":136,"_114":137,"_130":138},"M0 0h11.509v18.737h.982V0H24v24h-5.263V5.263h-.983V24H6.246V5.263l-.983.035V24H0zm22.246 19.509h-1.404v2.386h1.404z","MicroPython","micropython","Interfaces with MicroPython-powered devices through serial communication, enabling direct control of hardware features via natural language instructions.","stdu53kk1i",{"_125":142,"_75":146,"_46":147},{"_127":143,"_114":144,"_130":145},"M22.2819 9.8211a5.9847 5.9847 0 0 0-.5157-4.9108 6.0462 6.0462 0 0 0-6.5098-2.9A6.0651 6.0651 0 0 0 4.9807 4.1818a5.9847 5.9847 0 0 0-3.9977 2.9 6.0462 6.0462 0 0 0 .7427 7.0966 5.98 5.98 0 0 0 .511 4.9107 6.051 6.051 0 0 0 6.5146 2.9001A5.9847 5.9847 0 0 0 13.2599 24a6.0557 6.0557 0 0 0 5.7718-4.2058 5.9894 5.9894 0 0 0 3.9977-2.9001 6.0557 6.0557 0 0 0-.7475-7.0729zm-9.022 12.6081a4.4755 4.4755 0 0 1-2.8764-1.0408l.1419-.0804 4.7783-2.7582a.7948.7948 0 0 0 .3927-.6813v-6.7369l2.02 1.1686a.071.071 0 0 1 .038.052v5.5826a4.504 4.504 0 0 1-4.4945 4.4944zm-9.6607-4.1254a4.4708 4.4708 0 0 1-.5346-3.0137l.142.0852 4.783 2.7582a.7712.7712 0 0 0 .7806 0l5.8428-3.3685v2.3324a.0804.0804 0 0 1-.0332.0615L9.74 19.9502a4.4992 4.4992 0 0 1-6.1408-1.6464zM2.3408 7.8956a4.485 4.485 0 0 1 2.3655-1.9728V11.6a.7664.7664 0 0 0 .3879.6765l5.8144 3.3543-2.0201 1.1685a.0757.0757 0 0 1-.071 0l-4.8303-2.7865A4.504 4.504 0 0 1 2.3408 7.872zm16.5963 3.8558L13.1038 8.364 15.1192 7.2a.0757.0757 0 0 1 .071 0l4.8303 2.7913a4.4944 4.4944 0 0 1-.6765 8.1042v-5.6772a.79.79 0 0 0-.407-.667zm2.0107-3.0231l-.142-.0852-4.7735-2.7818a.7759.7759 0 0 0-.7854 0L9.409 9.2297V6.8974a.0662.0662 0 0 1 .0284-.0615l4.8303-2.7866a4.4992 4.4992 0 0 1 6.6802 4.66zM8.3065 12.863l-2.02-1.1638a.0804.0804 0 0 1-.038-.0567V6.0742a4.4992 4.4992 0 0 1 7.3757-3.4537l-.142.0805L8.704 5.459a.7948.7948 0 0 0-.3927.6813zm1.0976-2.3654l2.602-1.4998 2.6069 1.4998v2.9994l-2.5974 1.4997-2.6067-1.4997Z","OpenAI","openai","Supports OpenAI models (GPT-4, GPT-3.5) through compatible MCP clients, allowing AI-powered control of serial devices.","6toi6sjfzs",{"_125":149,"_75":153,"_46":154},{"_127":150,"_114":151,"_130":152},"m19.8955 10.8961-.1726-.3028c.0068-2.1746-1.0022-3.061-2.1788-3.7348.356-.0938.7237-.1711.8245-.6182.6118-.1566.7397-.4398.8011-.7398.16-.1066.6955-.4061.6394-.9211.2998-.2069.4669-.4725.3819-.8487.3222-.3515.407-.6419.2702-.9096.3868-.4805.2152-.7295.05-.9817.2897-.5254.0341-1.0887-.7758-.9944-.3221-.4733-1.0244-.3659-1.133-.3637-.1215-.1519-.2819-.2821-.7755-.219-.3197-.2851-.6771-.2364-1.0458-.0964-.4378-.3403-.7275-.0675-1.0584.0356-.53-.1706-.6513.0631-.9117.1583-.5781-.1203-.7538.1416-1.0309.4182l-.3224-.0063c-.8719.5061-1.305 1.5366-1.4585 2.0664-.1536-.5299-.5858-1.5604-1.4575-2.0664l-.3223.0063C9.942.5014 9.7663.2394 9.1883.3597 8.9279.2646 8.807.0309 8.2766.2015c-.2172-.0677-.417-.2084-.6522-.2012l.0004.0002C7.5017.0041 7.369.049 7.2185.166c-.3688-.1401-.7262-.1887-1.0459.0964-.4936-.0631-.654.0671-.7756.219C5.2887.4791 4.5862.3717 4.264.845c-.8096-.0943-1.0655.4691-.7756.9944-.1653.2521-.3366.5013.05.9819-.1367.2677-.0519.5581.2703.9096-.085.3763.0822.6418.3819.8487-.0561.515.4795.8144.6394.9211.0614.3001.1894.5832.8011.7398.1008.4472.4685.5244.8245.6183-1.1766.6737-2.1856 1.56-2.1788 3.7348l-.1724.3028c-1.3491.8082-2.5629 3.4056-.6648 5.5167.124.6609.3319 1.1355.5171 1.6609.2769 2.117 2.0841 3.1082 2.5608 3.2255.6984.524 1.4423 1.0212 2.449 1.3696.949.964 1.977 1.3314 3.0107 1.3308.0152 0 .0306.0002.0457 0 1.0337.0006 2.0618-.3668 3.0107-1.3308 1.0067-.3483 1.7506-.8456 2.4491-1.3696.4766-.1173 2.2838-1.1085 2.5607-3.2255.1851-.5253.3931-1 .517-1.6609 1.8981-2.1113.6843-4.7089-.6649-5.517zm-1.0386-.3715c-.0704.8759-4.6354-3.0504-3.8472-3.1808 2.1391-.3558 3.9191.896 3.8472 3.1808zm-2.0155 4.3649c-1.1481.7409-2.8025.2626-3.6953-1.0681-.8928-1.3306-.6858-3.0101.4623-3.7509 1.1481-.7409 2.8025-.2627 3.6953 1.068.8927 1.3307.6858 3.0101-.4623 3.751zM13.6591 1.3721c.0396.1967.0843.321.1354.3577.2537-.272.4611-.5506.7878-.8123.0011.1537-.0776.3205.1169.4425.1752-.2356.4119-.4459.7263-.6244-.1514.2611-.026.3404.0554.4486.24-.2059.4681-.4144.9109-.5759-.121.1474-.2902.2914-.1108.4607.2473-.1544.496-.3086 1.0833-.4183-.1323.1475-.4059.295-.2401.4426.3104-.1186.6539-.2047 1.034-.2546-.182.1496-.3337.2963-.1846.4122.3323-.1022.7899-.2398 1.2372-.1212l-.2832.2849c-.0314.0382.6623.0297 1.1202.0364-.167.2321-.3375.4562-.437.8548.0454.0459.2723.0204.4862 0-.2194.4618-.6004.5783-.6893.776.134.1015.32.075.5232.006-.158.3254-.4892.5484-.7509.8123.0662.047.1818.075.4555.0425-.2418.257-.5339.492-.8802.7032.0614.0708.2722.0681.4678.0727-.3136.3069-.7173.466-1.0955.6668.1885.1288.3234.0988.4678.097-.2676.2198-.7225.3342-1.1448.4668.0803.1249.1607.1589.3324.194-.447.2473-1.0873.1343-1.2679.2607.0435.1243.1665.2053.3139.2728-.7197.0418-2.6879-.0262-3.0652-1.5156.7367-.8094 2.0813-1.7593 4.394-2.934-1.7994.6022-3.4229 1.405-4.7817 2.5096-1.5978-.7436-.4965-2.6197.283-3.3645zm-1.6126 5.3718c1.1329-.0123 2.5356.8325 2.53 1.6286-.005.7027-.9851 1.2715-2.5213 1.2607-1.5043-.0177-2.5172-.7148-2.5137-1.3957.003-.5603 1.2282-1.5263 2.505-1.4936zm-5.7646-.6006c.1717-.0351.252-.0692.3323-.194-.4223-.1327-.8772-.247-1.1448-.4668.1444.0018.2792.0318.4678-.097-.3783-.2008-.782-.3599-1.0956-.6668.1955-.0048.4064-.002.4677-.0728-.3462-.2113-.6383-.4463-.8801-.7033.2738.0325.3893.0045.4555-.0425-.2617-.264-.593-.487-.7509-.8123.2032.069.3892.0954.5232-.006-.089-.1977-.47-.3142-.6894-.776.214.0204.4409.0459.4863 0-.0994-.3985-.2698-.6226-.4369-.8547.4579-.0067 1.1516.0018 1.1202-.0364l-.2831-.2849c.4472-.1186.9049.019 1.2371.1213.1492-.1159-.0026-.2626-.1847-.4123.3801.05.7236.1361 1.034.2547.1659-.1476-.1076-.2951-.24-.4426.5872.1097.8361.2639 1.0833.4183.1794-.1694.0103-.3133-.1108-.4607.4428.1615.6709.37.911.5759.0814-.1082.2068-.1875.0554-.4486.3143.1785.5511.3888.7263.6244.1945-.122.1159-.2888.1169-.4426.3267.2618.534.5404.7879.8124.0511-.0366.0959-.161.1354-.3577.7794.7448 1.8807 2.6208.2831 3.3646-1.3589-1.1039-2.9817-1.9064-4.78-2.5086 2.3115 1.174 3.6556 2.1239 4.392 2.9328-.3773 1.4895-2.3455 1.5575-3.0651 1.5157.1473-.0676.2703-.1485.3139-.2728-.1806-.1264-.8209-.0134-1.2679-.2607zm2.8175 1.1334c.7881.1304-3.7769 4.0567-3.8472 3.1809-.0719-2.2846 1.7079-3.5367 3.8472-3.1809zm-4.847 8.7567c-1.1094-.8789-1.4668-3.4529.5901-4.6097 1.2394-.3273.4184 5.051-.5901 4.6097zm4.2656 4.5989c-.6257.3719-2.1452.2187-3.2252-1.3095-.7283-1.2823-.6345-2.5872-.123-2.9705.7648-.4589 1.9464.1609 2.8559 1.2003.7923.9405 1.1536 2.5927.4923 3.0797zm-1.2415-5.6086c-1.1481-.7409-1.3551-2.4203-.4623-3.7511.8928-1.3307 2.5472-1.8089 3.6952-1.068 1.1481.7409 1.3551 2.4203.4623 3.7509-.8926 1.3308-2.5471 1.809-3.6952 1.0682zm4.7948 8.2279c-1.3763.0584-2.7258-1.1105-2.7081-1.5157-.0206-.594 1.6758-1.0578 2.782-1.0306 1.1131-.0479 2.6068.3531 2.6097.8851.0184.5166-1.3547 1.6838-2.6836 1.6612zm2.7584-5.8578c.0081 1.3899-1.226 2.5225-2.7562 2.5299-1.5302.0073-2.7773-1.1135-2.7854-2.5033v-.0265c-.008-1.3899 1.2259-2.5226 2.7562-2.5299 1.5302-.0073 2.7773 1.1134 2.7853 2.5033a.7794.7794 0 0 1 .0001.0265zm3.855 2.0029c-1.186 1.6208-2.7916 1.684-3.3896 1.2325-.6255-.5811-.148-2.3854.7094-3.3747v-.0003c.9812-1.0912 2.0302-1.8037 2.7609-1.2469.4919.4828.7805 2.3008-.0807 3.3894zm1.0724-3.4301c-1.0086.4413-1.8298-4.9372-.5901-4.61 2.0568 1.1569 1.6994 3.731.5901 4.61zm-.0256-8.3279h.2985v-.5304h.2986c.1502 0 .2053.0624.2262.2052.0152.1088.0113.2395.0477.3253h.2984c-.0533-.0763-.0515-.2358-.0571-.3213-.0097-.1373-.0513-.2796-.1977-.3176v-.0037c.1502-.061.2149-.1807.2149-.341 0-.2048-.1539-.3738-.3974-.3738h-.732v1.3573zm.2985-1.1255h.3269c.1333 0 .2054.0573.2054.188 0 .1369-.0721.1942-.2054.1942H20.03v-.3822zm-1.0337.4633c0 .7009.5682 1.2694 1.2695 1.2694s1.2695-.5684 1.2695-1.2694c0-.7013-.5683-1.2697-1.2695-1.2697-.7013 0-1.2695.5684-1.2695 1.2697zm2.3275 0c0 .5845-.4737 1.058-1.058 1.058s-1.058-.4735-1.058-1.058c0-.5849.4737-1.058 1.058-1.058s1.058.4731 1.058 1.058z","Raspberry Pi","raspberry-pi","Connects with Raspberry Pi Pico microcontrollers via serial communication, allowing control of hardware components like PWM settings and LEDs through natural language commands.","q7tm759shg","MCP2Serial","npmPackage","prompts","redditPostForeignId","1j6vgvq","relatedMcpServerIds",[162,163,164,165,166,167],1062,567,741,632,652,923,"resources","scores",{"_171":172,"_173":172,"_174":172},"license",100,"quality","security","simpleIcon","supportedPlatforms",[178,179,180],"WINDOWS","MACOS","LINUX","tools",[183,198,207],{"_114":184,"_157":185,"_75":191,"_192":193},"set_pwm",[186,187,188,189,190],"把PWM调到最大","把PWM调到最小","请将PWM设置为{value}","关闭PWM","把PWM调到一半","Execute set_pwm command","inputSchema",{"_66":67,"_68":194,"_70":196},[195],"frequency",{"_195":197},{"_66":73},{"_114":199,"_157":200,"_75":203,"_192":204},"get_pico_info",[201,202],"查询Pico板信息","显示开发板状态","Execute get_pico_info command",{"_66":67,"_68":205,"_70":206},[],{},{"_114":208,"_157":209,"_75":213,"_192":214},"led_control",[210,211,212],"打开LED","关闭LED","设置LED状态为{state}","Execute led_control command",{"_66":67,"_68":215,"_70":217},[216],"state",{"_216":218},{"_66":73},"de9opo6050","updatedAt",["D",1742022645673],"meta",[224,227,229,236,239,241,244,247,250,253,256,258,261,264,266,268,270,272,274],{"_225":226},"title","MCP2Serial | Glama",{"_228":87,"_114":75},"content",{"_230":231,"_232":233,"_234":235},"href","https://glama.ai/mcp/servers/de9opo6050","rel","canonical","tagName","link",{"_228":155,"_237":238},"property","og:title",{"_228":87,"_237":240},"og:description",{"_228":242,"_237":243},"https://glama.ai/logo.png","og:logo",{"_228":245,"_237":246},"https://glama.ai/mcp/servers/de9opo6050/og-image","og:image",{"_228":248,"_237":249},"630","og:image:height",{"_228":251,"_237":252},"1200","og:image:width",{"_228":254,"_237":255},"website","og:type",{"_228":231,"_237":257},"og:url",{"_228":259,"_237":260},"ChatGPT alternative for power users","og:site_name",{"_228":262,"_114":263},"summary_large_image","twitter:card",{"_228":259,"_114":265},"twitter:title",{"_228":87,"_114":267},"twitter:description",{"_228":245,"_114":269},"twitter:image",{"_228":248,"_114":271},"twitter:image:height",{"_228":251,"_114":273},"twitter:image:width",{"_275":276},"script:ld+json",{"_277":278,"_279":280},"@context","http://schema.org","@graph",[281],{"_277":282,"_283":284,"_285":286},"https://schema.org","@type","BreadcrumbList","itemListElement",[287,293,297,301],{"_283":288,"_289":290,"_114":291,"_292":111},"ListItem","item","https://glama.ai/","Glama","position",{"_283":288,"_289":294,"_114":295,"_292":296},"https://glama.ai/mcp","MCP",2,{"_283":288,"_289":298,"_114":299,"_292":300},"https://glama.ai/mcp/servers","Servers",3,{"_283":288,"_289":231,"_114":155,"_292":302},4,"routes/_public/mcp/servers/~uid/_pages/tools/~name/_route",{"_60":305,"_347":-5,"_348":349,"_222":355,"_391":392,"_40":399},{"_62":306,"_64":307,"_42":311,"_86":87,"_88":87,"_89":312,"_95":313,"_118":119,"_120":121,"_122":316,"_114":155,"_156":-5,"_157":-5,"_158":159,"_160":325,"_168":-5,"_169":326,"_175":-5,"_176":327,"_181":328,"_46":219,"_220":346},["D",1741478867390],{"_66":67,"_68":308,"_70":309},[],{"_7":310},{"_66":73,"_74":7,"_75":76},[78,79,80,81,82,83,84,85],{"_91":92,"_93":94},{"_97":98,"_99":100,"_101":102,"_103":104,"_105":314,"_110":111,"_112":315,"_116":117},{"_107":108,"_109":31},{"_114":115},[317,319,321,323],{"_125":318,"_75":132,"_46":133},{"_127":128,"_114":129,"_130":131},{"_125":320,"_75":139,"_46":140},{"_127":136,"_114":137,"_130":138},{"_125":322,"_75":146,"_46":147},{"_127":143,"_114":144,"_130":145},{"_125":324,"_75":153,"_46":154},{"_127":150,"_114":151,"_130":152},[162,163,164,165,166,167],{"_171":172,"_173":172,"_174":172},[178,179,180],[329,335,340],{"_114":184,"_157":330,"_75":191,"_192":331},[186,187,188,189,190],{"_66":67,"_68":332,"_70":333},[195],{"_195":334},{"_66":73},{"_114":199,"_157":336,"_75":203,"_192":337},[201,202],{"_66":67,"_68":338,"_70":339},[],{},{"_114":208,"_157":341,"_75":213,"_192":342},[210,211,212],{"_66":67,"_68":343,"_70":344},[216],{"_216":345},{"_66":73},["D",1742022645673],"mcpServerInstance","mcpServerTool",{"_75":213,"_118":350,"_192":351,"_114":208},14020,{"_70":352,"_68":354,"_66":67},{"_216":353},{"_66":73},[216],[356,358,359,360,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376],{"_225":357},"led_control - MCP2Serial | Glama",{"_228":213,"_114":75},{"_230":231,"_232":233,"_234":235},{"_228":361,"_237":238},"led_control - MCP2Serial",{"_228":213,"_237":240},{"_228":242,"_237":243},{"_228":245,"_237":246},{"_228":248,"_237":249},{"_228":251,"_237":252},{"_228":254,"_237":255},{"_228":231,"_237":257},{"_228":259,"_237":260},{"_228":262,"_114":263},{"_228":259,"_114":265},{"_228":213,"_114":267},{"_228":245,"_114":269},{"_228":248,"_114":271},{"_228":251,"_114":273},{"_275":377},{"_277":278,"_279":378},[379],{"_277":282,"_283":284,"_285":380},[381,382,383,384,385,388],{"_283":288,"_289":290,"_114":291,"_292":111},{"_283":288,"_289":294,"_114":295,"_292":296},{"_283":288,"_289":298,"_114":299,"_292":300},{"_283":288,"_289":231,"_114":155,"_292":302},{"_283":288,"_289":386,"_114":387,"_292":117},"https://glama.ai/mcp/servers/de9opo6050/tools","Tools",{"_283":288,"_289":389,"_114":208,"_292":390},"https://glama.ai/mcp/servers/de9opo6050/tools/led_control",6,"otherTools",[393,395,397],{"_60":394,"_114":199},{"_46":219},{"_60":396,"_114":208},{"_46":219},{"_60":398,"_114":184},{"_46":219},{"_48":-5},"actionData","errors"]

led_control

Input Schema

Input Schema (JSON Schema)

Other Tools