Set up
Runs on your computer. Pick your agent and operating system.
Before you start
- uv (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
{
"mcpServers": {
"volcengine-mcp-vod": {
"command": "uvx",
"args": [
"vevod-mcp"
]
}
}
}same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12
Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs
README
synced Oct 17, 2026悉知
当前仓库暂不维护,如有需要请使用 vevod-mcp
Volcengine MCP
Volcengine VOD 的 Model Context Protocol (MCP) Server 实现
项目简介
Volcengine VOD MCP是一个基于Model Context Protocol的 MCP Server, 它将 Volcengine VOD服务集成到LLM模型上下文中,使大模型能够直接操作和管理VOD资源。
功能特点
- 提供多种资源访问接口,便于LLM获取Volcengine VOD服务信息、视频资源等
- 实现了多个Volcengine功能的工具封装,包括上传媒资,剪辑视频等
安装
环境要求
- Python 3.13+
- 火山引擎账号及AccessKey/SecretKey
使用方法
在 Mcp Client 中集成
在 mcp client 中配置 mcp 服务, 配置的 MCP JSON:
{
"mcpServers": {
"vevod": {
"command": "uvx",
"args": ["vevod-mcp"],
"env": {
"VOLCENGINE_ACCESS_KEY": "Your Volcengine AK",
"VOLCENGINE_SECRET_KEY": "Your Volcengine SK"
}
}
}
}
请在火山引擎-视频点播-控制台申请ACCESS_KEY、SECRET_KEY
Security and privacy
This project takes security seriously. For vulnerability reporting and supported versions, see SECURITY.md