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.

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.

A TikTok and Red Book watermark-free resource extraction tool based on the MCP protocol, supporting video and image parsing and text transcription functions

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.

A server tool based on the Model Context Protocol, used to extract subtitle text from YouTube videos. It supports integration with Cursor and Claude Desktop, facilitating AI to directly analyze video content.

iReader MCP is an MCP server that provides tools for reading and extracting Internet content, supporting text extraction from web pages, YouTube videos, Twitter threads, and PDF files.

The Luma AI MCP Server is a service based on the Model Context Protocol, integrating the Luma AI Dream Machine API (v1), providing a toolset for AI-generated videos/images, including text/image-to-video, video extension, audio addition, image quality improvement, etc., and supports direct calls through Claude Desktop.

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.

A professional video information analysis tool based on the MCP protocol, providing multi - dimensional video file analysis capabilities and supporting output in JSON, TEXT, and Markdown formats

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.