PixVerse-MCP

PixVerse-MCP is a tool that allows users to access PixVerse's latest video generation models through applications that support Model Context Protocol (MCP). This product offers features such as text to video, suitable for creators and developers, and is able to generate high-quality videos anywhere. The PixVerse platform requires API points, and users need to purchase it themselves.

Demand population:

"This product is suitable for video creators, advertising producers, content producers, and anyone who wants to use AI to generate videos. It simplifies the video generation process, allowing users to easily implement creative ideas, saving time and cost."

Example of usage scenarios:

Generate a video of the beach sunrise, using a detailed scene description.

Generate different footage videos of coffee cups according to the storyboard.

Quickly generate videos of futuristic tech themed with neon effects.

Product Features:

Text to video generation: Use text prompts to generate creative videos.

Flexible parameter control: can adjust video quality, length, aspect ratio, etc.

Create with AI assistants: Collaborate with AI models such as Claude to enhance creative workflow.

Multiple video themes and style options: Quickly generate videos with a specific theme or style.

Supports generation of different resolutions and durations: 360p to 1080p resolutions and 5 or 8 seconds durations can be selected.

Detailed scene description or shot list generate video: generate structured video based on user input.

Provide video links for viewing, downloading or sharing: Provide sharing links after the video is generated.

Support collaborative creation and sharing: Get support and feedback through the community.

Tutorials for use:

Get the PixVerse API key, register a PixVerse platform account and generate the API key.

Download and install Python 3.10 or above, as well as UV/UVX.

Configure the MCP client, edit the mcp_config.json file, and add the PixVerse API key.

Restart the MCP client to ensure the connection is successful.

Use natural language prompts to generate videos and adjust parameters as needed.