PixVerse MCP
by PixVerseAI
PixVerse MCP allows you to access PixVerse's latest video generation models via applications that support the Model Context Protocol (MCP), such as Claude or Cursor. This integration enables you to generate high-quality videos anytime, anywhere.
Last updated: N/A
What is PixVerse MCP?
PixVerse MCP is a tool that allows users to access PixVerse's video generation models through applications supporting the Model Context Protocol (MCP). It enables the generation of videos from text or images using AI.
How to use PixVerse MCP?
To use PixVerse MCP, you need to obtain a PixVerse API key, install Python and UV/UVX, configure your MCP client (like Claude or Cursor) with the server details and API key, and then restart the client. After setup, you can use natural language prompts or scene descriptions to generate videos.
Key features of PixVerse MCP
Text-to-Video Generation
Flexible Parameter Control (quality, length, aspect ratio)
Co-Creation with AI Assistants
Integration with Claude and Cursor
Use cases of PixVerse MCP
Generating videos from text prompts
Creating videos from image prompts (via API)
Developing storyboards into videos
Automating video content creation workflows
FAQ from PixVerse MCP
How do I get a PixVerse API key?
How do I get a PixVerse API key?
Register at the PixVerse Platform and generate it under "API-KEY" in your account.
What should I do if the server doesn't respond?
What should I do if the server doesn't respond?
Check whether your API key is valid, ensure the configuration file path is correct, and view error logs (typically in the log folders of Claude or Cursor).
Does MCP support image-to-video or keyframe features?
Does MCP support image-to-video or keyframe features?
Not yet. These features are only available via the PixVerse API. API Docs
How to obtain credits?
How to obtain credits?
If you haven't topped up on the API platform yet, please do so first. PixVerse Platform
What video formats and sizes are supported?
What video formats and sizes are supported?
PixVerse supports resolutions from 360p to 1080p, and aspect ratios from 9:16 (portrait) to 16:9 (landscape). We recommend starting with 540p and 5-second videos to test the output quality.