
EmoVideoAna
from hbidept
analytics emotion of video
🔥🔥✓ VerifiedAccount requiredNeeds API keys
<!--
* @Date: 2025-11-27 15:29:25
* @LastEditors: sunkr1995 35027245+sunkr1995@users.noreply.github.com
* @LastEditTime: 2025-12-09 11:50:56
* @FilePath: \emo-video-analysis-mcp\README.md
* @Description: Do not edit
-->
🤖 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。
Copy & paste — that's it
uv python install 3.13Before it works, you'll need: APP_KEYAPP_SECRET
🛠️ 环境设置 (Environment Setup)
<details> <summary><strong><g-emoji class="g-emoji" alias="penguin" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/1f427.png">🐧</g-emoji> Linux / macOS Setup</strong></summary>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]" httpxNo common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.