mcp-veo2

MCP.Pizza Chef: mario-andreschak

The mcp-veo2 is an MCP server that integrates Google's Veo2 video generation technology, enabling clients to create videos from text prompts or images. It provides access to generated videos as MCP resources and supports multiple transport methods including stdio and SSE. This server facilitates seamless video generation workflows within the MCP ecosystem.

Unmaintained · No commits in 17 months.

Use This MCP server To

Generate videos from natural language text prompts Create videos based on input images Access and manage generated videos via MCP resources Integrate video generation into AI-enhanced workflows Use example templates for quick video creation Stream video generation results using SSE transport

README

MCP Video Generation with Veo2

This project implements a Model Context Protocol (MCP) server that exposes Google's Veo2 video generation capabilities. It allows clients to generate videos from text prompts or images, and access the generated videos through MCP resources.

Features

Generate videos from text prompts
Generate videos from images
Access generated videos through MCP resources
Example video generation templates
Support for both stdio and SSE transports

Example Images

1dec9c71-07dc-4a6e-9e17-8da355d72ba1

Example Image to Video

Image to Video - from Grok generated puppy

Image to Video - from real cat

mcp-veo2 FAQ

How do I generate a video from a text prompt using mcp-veo2?

Send a text prompt to the mcp-veo2 server via MCP client; it processes the prompt and returns a generated video resource.

Can mcp-veo2 generate videos from images?

Yes, it supports video generation from both text prompts and images.

What transport protocols does mcp-veo2 support?

It supports stdio and Server-Sent Events (SSE) transports for flexible integration.

How can I access the generated videos?

Generated videos are exposed as MCP resources accessible through the MCP client interface.

Is there support for video generation templates?

Yes, mcp-veo2 includes example templates to simplify video creation workflows.

Can mcp-veo2 be integrated with other LLM providers?

Yes, it works within the MCP ecosystem and can be used alongside models from OpenAI, Claude, and Gemini.

What are the system requirements for running mcp-veo2?

It requires access to Google's Veo2 API and a compatible MCP client environment.

How does mcp-veo2 handle real-time video generation updates?

Using SSE transport, it can stream generation progress and results in real time.