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MCP Video Generation with Veo2

@mario-andreschak

代码仓库

关于 MCP Video Generation with Veo2

MCP for Video- or Image-Generation with Google VEO2

#ai#mcp#image-generation#video-generation#mcp-server

基本信息

分类

媒体与设计

许可证

MIT

运行时

node

传输方式

stdio

发布者

mario-andreschak

配置

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

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Video Generation with Veo2?

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.

How to use MCP Video Generation with Veo2?

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.

Key features of MCP Video Generation with Veo2

  • Generate videos from text prompts
  • Generate videos from images
  • Access generated videos through MCP resources
  • Supports both stdio and SSE transports
  • Configurable resolution and duration (5-8 seconds)

Use cases of MCP Video Generation with Veo2

  • Automatically generate short video clips from textual descriptions
  • Create videos from user-uploaded images or AI-generated images
  • Build AI‑powered video creation tools for content marketing
  • Integrate video generation into MCP‑based agents or chatbots

FAQ from MCP Video Generation with Veo2

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.

What are the system requirements?

Node.js 18 or higher. No other runtime dependencies are required.

Where are generated videos stored?

By default in ./generated-videos. You can change the storage directory by setting the STORAGE_DIR environment variable.

What configuration options does video generation support?

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".

Which transports are supported?

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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