Generate videos from text prompts or images using Google's Veo2 model via a Model Context Protocol (MCP) server.
Sponsored
This project implements a Model Context Protocol (MCP) server, enabling video generation through Google's Veo2 model. It allows users to create videos from text or image inputs, providing access to these generated videos through MCP resources. With support for stdio and SSE transports, and example video generation templates, it provides a streamlined interface for leveraging AI-powered video creation.
Key Features
01Generates videos from images
02Generates videos from text prompts
035 GitHub stars
04Provides access to generated videos through MCP resources
05Includes example video generation templates
06Supports stdio and SSE transports
Use Cases
01Automated video creation from text descriptions
02Transforming images into dynamic video content
03Integrating AI-powered video generation into existing MCP workflows