What are the prerequisites for using VeVOD MCP?
You need Python 3.13+ and a Volcengine account with an AccessKey and SecretKey for VOD.

@volcengine
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"vevod": {
"command": "uvx",
"args": [
"vevod-mcp"
],
"env": {
"VOLCENGINE_ACCESS_KEY": "Your Volcengine AK",
"VOLCENGINE_SECRET_KEY": "Your Volcengine SK"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
VeVOD MCP is a Model Context Protocol (MCP) server that integrates Volcengine VOD (Video on Demand) services into LLM contexts. It enables large language models to directly operate and manage VOD resources such as media uploads and video editing.
Install using uvx vevod-mcp, then configure the MCP server in your MCP client with the required environment variables (VOLCENGINE_ACCESS_KEY and VOLCENGINE_SECRET_KEY). The server is invoked via the vevod entry in the MCP JSON configuration.
You need Python 3.13+ and a Volcengine account with an AccessKey and SecretKey for VOD.
Add a `vevod` entry under `mcpServers` in your MCP client JSON, setting `command` to `uvx` with `args` `["vevod-mcp"]`, and provide `VOLCENGINE_ACCESS_KEY` and `VOLCENGINE_SECRET_KEY` in the `env` object.
It offers resource access interfaces for retrieving VOD service info and video assets, and tools for uploading media and editing videos.
Authentication is handled via the `VOLCENGINE_ACCESS_KEY` and `VOLCENGINE_SECRET_KEY` environment variables set in the MCP client configuration.
MCP Toolbox for Databases is an open source MCP server for databases.

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Model Context Protocol Servers
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