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OpenVideoGenerator MCP Server

OpenVideoGenerator MCP Server

远程服务
openvideogenerator.com其他0今天更新

关于 OpenVideoGenerator MCP Server

面向 Kling、MiniMax、Luma 和 Hunyuan 的 AI 视频生成 MCP 服务,提供提示词蓝图

配置

远程服务无需本地安装。选择你使用的客户端,复制配置或使用一键安装。

服务地址https://openvideogenerator.com/api/mcp
一键复制安装命令
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

命令在终端中运行;JSON 粘贴到对应客户端的 MCP 配置后重启。需要授权的服务会在首次连接时提示登录。

全部服务地址
Streamable HTTPhttps://openvideogenerator.com/api/mcp需要授权

工具

README 原文English

来自项目 README

README 暂无中文译文,以下为英文原文;中文介绍见上方。

OpenVideoGenerator MCP Server

Official Model Context Protocol (MCP) server and zero-dependency stdio bridge for OpenVideoGenerator — generate cinematic AI videos across Kling AI, MiniMax Hailuo, Luma Dream Machine, and Tencent Hunyuan Video directly from Cursor, Claude Desktop, Claude Code, and autonomous agents.

Available Tools

  • generate_video — Queue an asynchronous text-to-video or image-to-video render job and immediately receive a taskId.
  • get_video_status — Poll render progress, stage status, and retrieve the final watermark-free 1080p MP4 URL.
  • list_supported_engines — Inspect supported models, aspect ratios (16:9, 9:16, 1:1), durations, and credit costs.
  • get_user_balance — Check remaining account credits and estimated generation capacity.
  • search_prompt_blueprints — Search curated cinema-grade prompt blueprints with camera movements, lighting profiles, and negative prompts.

Option 1: Direct Streamable HTTP (Recommended)

Most modern MCP clients (Cursor, Claude Code, Antigravity) connect directly to the hosted Streamable HTTP endpoint:

{
  "mcpServers": {
    "open-video-generator": {
      "url": "https://openvideogenerator.com/api/mcp",
      "headers": {
        "Authorization": "Bearer sk_YOUR_API_KEY_HERE"
      }
    }
  }
}

Option 2: Local Stdio Bridge (npx)

For clients that require a local stdio command, run the zero-dependency Node.js 18+ bridge directly from GitHub:

{
  "mcpServers": {
    "open-video-generator": {
      "command": "npx",
      "args": ["-y", "github:zsthimself/open-video-generator-mcp"],
      "env": {
        "OPENVIDEO_API_KEY": "sk_YOUR_API_KEY_HERE"
      }
    }
  }
}
Verify Connectivity
npx -y github:zsthimself/open-video-generator-mcp --check

Links

License

MIT

评论

支持 Markdown

第一次接触 MCP?

从协议是什么,到在客户端里装上第一个服务,这几条回答覆盖了大多数入门问题。

一个开放协议,规定了 AI 应用如何以统一方式连接外部工具与数据源。客户端负责与模型对话,MCP 服务负责提供工具、资源和提示模板,两者通过标准消息通信,同一个服务可以被不同客户端复用。