Veo2 Video Generation
Enables video generation from text prompts or images with configurable options like aspect ratio and duration, storing results loc
MCP Video Generation with Veo2 exposes Google's Veo2 video generation capabilities through a TypeScript server implementation. Developed by mario-andreschak, it enables AI assistants to generate videos from text prompts or images, with support for various configuration options like aspect ratio, duration, and prompt enhancement. The server provides tools for video generation, image creation, and resource management, while supporting both stdio and SSE transports for flexible integration. Generated content is stored locally with metadata and can be accessed through MCP resources, making it valuable for creating visual content from textual descriptions or enhancing existing images with motion.
Source
Repository: https://github.com/mario-andreschak/mcp-veo2
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