What API key is required?
A Google API key with access to the Gemini API and Veo2 model. You must set up a credit card with your API key via aistudio.google.com.
@mario-andreschak
基本信息
MCP for Video- or Image-Generation with Google VEO2
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-veo2": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@mario-andreschak/mcp-veo2",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP Video Generation with Veo2 is an MCP server that exposes Google’s Veo2 video generation model to clients. It lets users create videos from text prompts or images and access the generated videos via MCP resources. Intended for developers and AI practitioners who want to integrate AI video generation into their workflows.
Install Node.js 18+ and obtain a Google API key with Veo2/Gemini access. Clone the repo, install dependencies (npm install), create a .env file with your GOOGLE_API_KEY, then build (npm run build). Start the server with npm start for stdio transport or npm start sse for SSE (port 3000). Use the exposed MCP tools generateVideoFromText, generateVideoFromImage, and listGeneratedVideos.
A Google API key with access to the Gemini API and Veo2 model. You must set up a credit card with your API key via aistudio.google.com.
Node.js 18 or higher. No other runtime dependencies are required.
By default in `./generated-videos`. You can change the storage directory by setting the `STORAGE_DIR` environment variable.
You can set aspect ratio (`"16:9"` or `"9:16"`), person generation (`"dont_allow"` or `"allow_adult"`), number of videos (1 or 2), duration (5–8 seconds), prompt enhancement, and a negative prompt. When using image input, `personGeneration` only supports `"dont_allow"`.
Both stdio (default) and SSE transports are supported. For SSE, the server listens on the port specified in the `PORT` environment variable (default 3000).

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