.
├── src/                    # 源代码目录
│   ├── services/          # 服务实现目录
│   │   ├── download/      # 下载服务
│   │   └── transcription/ # 转录服务
│   ├── main.py           # 主程序逻辑
│   └── __init__.py       # 包初始化文件
├── config/                # 配置文件目录
├── test.py               # 测试脚本
├── run.py                # 服务启动脚本
├── pyproject.toml        # 项目配置和依赖管理
├── uv.lock               # UV 依赖锁定文件
└── .env                  # 环境变量配置

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

git clone https://github.com/R-lz/mcp-video-digest.git
cd mcp-video-digest

uv venv
source .venv/bin/activate  # Linux/Mac
# 或
.venv\Scripts\activate     # Windows

uv pip install -e .

mv .env.example .env

   # 修改
   DEEPGRAM_API_KEY=your_deepgram_key
   GLADIA_API_KEY=your_gladia_key
   SPEECHMATICS_API_KEY=your_speechmatics_key
   ASSEMBLYAI_API_KEY=your_assemblyai_key

uv run src/main.py

UV_DEBUG=1 uv run src/main.py

from mcp.client import MCPClient
   
   async def process_video():
       client = MCPClient()
       result = await client.call(
           "get_video_content",
           url="https://www.youtube.com/watch?v=video_id"
       )
       print(result)

{
    "mcpServers": {
      "video_digest": {
        "url": "http://:8000/sse"
    }
  }
}

# 当然可以在Client传递Key

"env": {
   "DEEPGRAM_API_KEY":"your_deepgram_key"
}

uv run test.py 
# 或
python test.py