# 安装 Atlas Scientific EZO Sensors

- 类型: MCP 工具
- 说明: MCP server for Atlas Scientific EZO sensor circuits (pH, ORP, DO, EC, RTD, HUM, CO2, PRS) over UART.
- 仓库: https://github.com/K-Dense-AI/lab-instrument-mcps

## 方式一 · 一键代装（复制提示词让 AI 代劳）

### Claude Code
```
请帮我安装 askskill 上的 "Atlas Scientific EZO Sensors" MCP 服务：
执行：claude mcp add 'io-github-k-dense-ai-labmcp-atlas-ezo' -- npx -y labmcp-atlas-ezo
```

### Codex
```
请帮我安装 askskill 上的 "Atlas Scientific EZO Sensors" MCP 服务：
在 ~/.codex/config.toml 中添加：
[mcp_servers.io-github-k-dense-ai-labmcp-atlas-ezo]
command = "npx"
args = ["-y","labmcp-atlas-ezo"]
然后重启 Codex 生效
```

### Cursor
```
请帮我安装 askskill 上的 "Atlas Scientific EZO Sensors" MCP 服务：
在 .cursor/mcp.json 的 "mcpServers" 中添加：
"io-github-k-dense-ai-labmcp-atlas-ezo": { "command": "npx", "args": ["-y","labmcp-atlas-ezo"] }
然后在 Cursor 设置 > MCP 中启用
```

## 方式二 · 命令行安装（原生命令与配置）

### Claude Code
```bash
claude mcp add --env LABMCP_ADDRESS=YOUR_VALUE --env LABMCP_SIMULATE=YOUR_VALUE --env LABMCP_READ_ONLY=YOUR_VALUE --env LABMCP_LIMITS=YOUR_VALUE --transport stdio io-github-k-dense-ai-labmcp-atlas-ezo -- npx -y labmcp-atlas-ezo
```
需要环境变量：LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITS

### Codex
```bash
codex mcp add --env LABMCP_ADDRESS=YOUR_VALUE --env LABMCP_SIMULATE=YOUR_VALUE --env LABMCP_READ_ONLY=YOUR_VALUE --env LABMCP_LIMITS=YOUR_VALUE io-github-k-dense-ai-labmcp-atlas-ezo -- npx -y labmcp-atlas-ezo
```
配置文件 ~/.codex/config.toml：
```toml
[mcp_servers.io-github-k-dense-ai-labmcp-atlas-ezo]
command = "npx"
args = ["-y","labmcp-atlas-ezo"]

[mcp_servers.io-github-k-dense-ai-labmcp-atlas-ezo.env]
LABMCP_ADDRESS = "YOUR_VALUE"
LABMCP_SIMULATE = "YOUR_VALUE"
LABMCP_READ_ONLY = "YOUR_VALUE"
LABMCP_LIMITS = "YOUR_VALUE"
```
需要环境变量：LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITS

### Cursor
配置文件 .cursor/mcp.json：
```json
{
  "mcpServers": {
    "io-github-k-dense-ai-labmcp-atlas-ezo": {
      "command": "npx",
      "args": [
        "-y",
        "labmcp-atlas-ezo"
      ],
      "env": {
        "LABMCP_ADDRESS": "YOUR_VALUE",
        "LABMCP_SIMULATE": "YOUR_VALUE",
        "LABMCP_READ_ONLY": "YOUR_VALUE",
        "LABMCP_LIMITS": "YOUR_VALUE"
      }
    }
  }
}
```
一键安装：cursor://anysphere.cursor-deeplink/mcp/install?name=io-github-k-dense-ai-labmcp-atlas-ezo&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsImxhYm1jcC1hdGxhcy1lem8iXSwiZW52Ijp7IkxBQk1DUF9BRERSRVNTIjoiWU9VUl9WQUxVRSIsIkxBQk1DUF9TSU1VTEFURSI6IllPVVJfVkFMVUUiLCJMQUJNQ1BfUkVBRF9PTkxZIjoiWU9VUl9WQUxVRSIsIkxBQk1DUF9MSU1JVFMiOiJZT1VSX1ZBTFVFIn19
需要环境变量：LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITS