The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

An open - source short - video automatic generation tool that integrates text - to - speech, automatic subtitles, background videos, and music to create professional short videos from simple text input.

An SSE-based MCP server providing image and video generation tools

MiniMax MCP JS is a MiniMax Model Context Protocol toolkit implemented in JavaScript/TypeScript, providing functions such as text-to-speech, image generation, video generation, and voice cloning, and supporting multiple configuration methods and transmission modes.

MCP Kling is the first and only complete Kling AI MCP server, offering 13 creative tools that support video generation, image processing, lip-syncing, and virtual try-on, enabling seamless integration with Claude, suitable for content creators and developers.

MiniMax MCP JS is a MiniMax MCP protocol toolset implemented in JavaScript/TypeScript, providing functions such as image generation, video generation, and text-to-speech, and supporting interaction with MCP-compatible clients.

This is an MCP server project based on the Runway API, allowing users to call various AI generation functions of Runway through Claude Desktop, including tools such as video generation, image generation, video editing, and upscaling.

A GIF generation tool based on the MCP protocol that can convert video files into high-quality GIF animations, supporting functions such as customizing the frame rate, size, and截取片段 (extracting segments).

YouTube Video Translation and Summary Generation Tool

Shorts Video Maker is an open - source tool for automated short - video generation. It combines text - to - speech, automatic subtitle, background video, and music technologies to create engaging short - video content through simple text input. It supports REST API and MCP protocols and is suitable for content creators and developers.

This project provides a series of OpenMCP services contributed by the community, supporting collaboration with any MCP-compatible LLM application or framework. It includes quick start examples, a GitHub PR review tool, and a text-to-podcast video generation tool.

The Video Indexer MCP server provides tools and resources for interacting with the Video Indexer API, supporting the generation and retrieval of prompt content from video insights.