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OpenVideoGenerator MCP Server

OpenVideoGenerator MCP Server

Remote
openvideogenerator.comOther0Updated today

About OpenVideoGenerator MCP Server

AI video generation MCP server for Kling, MiniMax, Luma & Hunyuan with prompt blueprints

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://openvideogenerator.com/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://openvideogenerator.com/api/mcpAuth required

Tools

Details

From the project README

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.