EmoVideoAna

analytics emotion of video

🛠️ 环境设置 (Environment Setup)

🐧 Linux / macOS Setup

首先，安装uv并设置 Python 项目和环境

curl -LsSf https://astral.sh/uv/install.sh | sh

之后请务必重启终端，以确保uv命令生效。

进入项目根目录，然后执行以下命令：

uv python install 3.13

通过uv添加mcp官方库

uv add "mcp[cli]" httpx

🪟 Windows Setup

这里是 Windows 的环境设置步骤。

首先，安装uv并设置 Python 项目和环境

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

之后请务必重启终端，以确保uv命令生效。

进入项目根目录，然后执行以下命令：

uv python install 3.13

通过uv添加mcp官方库

uv add "mcp[cli]" httpx

不建议MCP Server 和 ai对话客户端分别放置在同一机器上的不同系统，如window和wsl2

🤖 在AI 对话客户端中使用

打开AI 对话客户端配置，在MCP中添加MCP Server

在文件中添加如下内容后保存

{
  "mcpServers": {
    "hbidept": {
      "command": "uv",
      "args": [
        "--directory",
        "{YOUR_PATH}/emo-video-analysis-mcp",
        "run",
        "main.py"
      ],
      "env": {
        "APP_KEY": "<YOUR_APP_KEY>",
        "APP_SECRET": "<YOUR_APP_SECRET>"
      },
    }
  }
}

如果使用streamableHttp

{
  "mcpServers": {
        {
            "lianxin-mcp": {
                "name": emo-video-analysis",
                "type": "streamableHttp",
                "baseUrl": "https://open.lianxinyun.com/mcp",
                "headers": {
                    "sk": appKey_sk_appSecret
                }
            }
        }
  }
}

对应的APP_KEY APP_SECRET 需要到https://open.lianxinyun.com/ 进行生成。

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