Google Veo 3.1 MCP Server

Google Veo 3.1 MCP Server

MCP server for Google Veo 3.1 video generation. Supports text/video/image-based generation, extension, and interpolation with cost estimation and batch processing.

Category
访问服务器

README

Google Veo 3.1 MCP Server

MCP Server and CLI batch tool for Google Veo 3.1 Video Generation API.

Features

  • MCP Server for integration with Claude Desktop and other MCP clients
  • Batch CLI Tool for processing multiple video generation jobs
  • Text-to-Video: Generate videos from text prompts
  • Image-to-Video: Animate static images
  • Reference Images: Use up to 3 images for character/style consistency
  • Video Extension: Extend existing videos by 7 seconds
  • Frame Interpolation: Generate video between two keyframes
  • Cost Estimation: Calculate costs before execution

Installation

npm install
npm run build

Setup

  1. Get your Google API key from Google AI Studio

  2. Create a .env file:

GOOGLE_API_KEY=your_api_key_here

Or set the environment variable directly:

export GOOGLE_API_KEY=your_api_key_here

MCP Server Usage

Claude Desktop Configuration

Add to your Claude Desktop configuration (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "veo3": {
      "command": "node",
      "args": ["C:/path/to/google-veo3-1-mcp-server/dist/index.js"],
      "env": {
        "GOOGLE_API_KEY": "your_api_key_here"
      }
    }
  }
}

Or using npx after publishing:

{
  "mcpServers": {
    "veo3": {
      "command": "npx",
      "args": ["google-veo3-1-mcp-server"],
      "env": {
        "GOOGLE_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

generate_video

Generate video from text prompt or image.

{
  "prompt": "A golden retriever running through autumn leaves",
  "model": "veo-3.1-generate-preview",
  "resolution": "1080p",
  "duration_seconds": 8,
  "generate_audio": true,
  "output_path": "./output/video.mp4"
}

Parameters:

  • prompt: Text description of the video (required unless image provided)
  • model: veo-3.1-generate-preview (default) or veo-3.1-fast-generate-preview
  • aspect_ratio: 16:9 (default) or 9:16
  • resolution: 720p (default), 1080p, or 4k (4k only for standard model)
  • duration_seconds: 4, 6, or 8 (default: 8)
  • generate_audio: Whether to generate audio (default: true)
  • negative_prompt: Elements to avoid
  • image: Image for Image-to-Video mode
  • reference_images: Array of reference images for consistency
  • output_path: Path to save the video

extend_video

Extend an existing video by 7 seconds.

{
  "video": "./input/video.mp4",
  "prompt": "Continue with the character walking forward",
  "output_path": "./output/extended.mp4"
}

Requirements:

  • Input video: 1-30 seconds, 24fps, 720p or 1080p
  • Output: 7 seconds at 720p

interpolate_frames

Generate video transitioning between two keyframes.

{
  "first_frame": "./images/start.jpg",
  "last_frame": "./images/end.jpg",
  "prompt": "Smooth camera pan",
  "duration_seconds": 8,
  "generate_audio": true,
  "output_path": "./output/interpolated.mp4"
}

get_video_status

Check the status of a video generation operation.

{
  "operation_name": "models/veo-3.1-generate-preview/operations/abc123"
}

Batch CLI Usage

# Estimate costs only
veo3-batch config.json --estimate-only

# Execute batch
veo3-batch config.json --output-dir ./output

# With options
veo3-batch config.json --max-concurrent 3 --no-audio --format json

CLI Options

Option Description
-o, --output-dir <path> Output directory for videos
-f, --format <text|json> Output format (default: text)
-c, --max-concurrent <n> Parallel jobs (1-5, default: 2)
-p, --poll-interval <ms> Polling interval
-t, --timeout <ms> Total batch timeout
-e, --estimate-only Only estimate costs
--no-audio Generate without audio (reduces cost)
--allow-any-path Allow absolute output paths

Batch Configuration Format

{
  "jobs": [
    {
      "prompt": "A cat playing piano",
      "duration_seconds": 8,
      "resolution": "1080p",
      "generate_audio": true
    },
    {
      "type": "extend",
      "video": "./videos/source.mp4",
      "prompt": "Continue the scene"
    },
    {
      "type": "interpolate",
      "first_frame": "./images/start.jpg",
      "last_frame": "./images/end.jpg"
    }
  ],
  "output_dir": "./output",
  "max_concurrent": 2,
  "default_model": "veo-3.1-generate-preview"
}

Pricing

Feature Resolution With Audio Video Only
Standard Model 720p/1080p $0.40/sec $0.20/sec
Standard Model 4K $0.60/sec $0.40/sec
Fast Model 720p/1080p $0.20/sec $0.10/sec

Note: Gemini API preview models always generate audio. The generate_audio parameter is not currently supported. Use Vertex AI for audio control.

Cost Examples

Video Type Resolution Duration Audio Cost
Text-to-Video 1080p 8 sec Yes $3.20
Text-to-Video 1080p 8 sec No $1.60
Image-to-Video (Fast) 720p 4 sec Yes $0.80
Video Extension 720p 7 sec No $1.40
Frame Interpolation 1080p 8 sec Yes $3.20

Models

Model Description Resolutions Speed
veo-3.1-generate-preview High quality 720p, 1080p, 4K Standard
veo-3.1-fast-generate-preview Faster generation 720p, 1080p Fast

Reference Images

Use reference images to maintain consistency:

{
  "prompt": "The character walks through a forest",
  "reference_images": [
    {
      "image": "./character.jpg",
      "reference_type": "asset"
    }
  ]
}
  • asset: For characters/objects (max 3 images)
  • style: For visual style (max 1 image)

Environment Variables

Variable Description Default
GOOGLE_API_KEY Google API key (required) -
OUTPUT_DIR Default output directory ./output
DEBUG Enable debug logging false
VIDEO_POLL_INTERVAL Polling interval (ms) 15000
VIDEO_MAX_POLL_ATTEMPTS Max polling attempts 120

API Documentation

For detailed API specifications, see:

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选