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.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

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.

Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.

An MCP server integrated with the OpenAI Sora 2 video generation API, providing video generation, remixing, status query, and automatic download functions

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.

A multi - functional MCP server integrating RunwayML and Luma AI APIs, supporting video/image generation and processing tasks

Luma API MCP is a project that provides image and video generation services. Users can access it through an API key, supporting multiple aspect ratios, models, and resolution options, and can control the generation effect through reference images or video keyframes.

An MCP server based on TypeScript that provides AI image and video generation functions, requiring the support of an API key from GPT4O Image Generator.

The Placid.app MCP Server is a service implementation for integrating with the Placid.app API, providing template management and multimedia generation functions.

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.

The AI Video Generation MCP Server supports text and image input to generate dynamic videos, providing multiple parameter controls and model selections.

A TypeScript-based MCP server that provides AI image and video generation functions and requires support from the API key of GPT4O Image Generator.

The FAL Image and Video MCP Server is a high - performance MCP protocol server specifically designed for image and video generation in FAL AI, supporting automatic download to local machines. It provides public URLs, data URLs, and local file paths, suitable for MCP - compatible clients such as Claude.

Flyworks MCP is a free and fast zeroshot lipsync tool that automatically synchronizes the lips of digital human videos with audio through an API interface and supports various styles of digital avatars.

The MCP Gemini API server is a Google Gemini API proxy service designed for Cursor and Claude, providing functions such as text generation, image analysis, video analysis, and web search.

Content Core is an AI-driven, multi-functional content extraction and processing platform that supports content extraction from various sources such as web pages, documents, audio and video, and provides functions such as intelligent cleaning and summary generation. It supports multiple integration methods such as the command line, Python libraries, and MCP services.

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.

This project is a video generation MCP server based on the Google Veo2 model. It supports video generation through text prompts or images and provides MCP resource access functions.

The official MCP server implementation of Plainly, allowing LLM clients to connect and call the Plainly video generation API, providing functions such as design listing, detail querying, rendering submission, and status checking.

Baidu Smart Cloud Xiling Digital Human Open Platform provides 13 API interfaces based on the MCP protocol, supporting functions such as digital human video generation and voice cloning, and is compatible with various MCP proxy assistants for quick access.

The Vidu MCP Server is a server based on the Model Context Protocol, used to interact with the Vidu video generation API, providing functions such as image - to - video conversion, generation status check, and image upload.

AllVoiceLab's official MCP server supports powerful API interactions such as text-to-speech and video translation, providing voice generation, video translation, and intelligent voice conversion services for multiple clients.

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).

MiniMax-MCP is a multi-functional server project that provides API services such as text-to-speech, video generation, and image generation, supporting developers to integrate advanced multimedia features.

YouTube Video Translation and Summary Generation Tool

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.

A Manim animation generation server based on the MCP protocol, which can receive scripts and return rendered videos, supporting dynamic generation of mathematical animations and integration with Claude.

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.

The Amazon Nova Reel 1.1 MCP server for video generation supports asynchronous video generation, multiple transmission methods, and AWS integration.

An MCP server based on the fal.ai API for generating images and videos, supporting the extension of different models and API endpoints.

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.

Luma AI's MCP Server realizes functions such as text/image - to - video generation, video enhancement, and creative content management through the Dream Machine API

The MCP service officially provided by MiniMax supports multiple functions such as text-to-speech, voice cloning, video generation, and image generation, and can be integrated with clients such as Claude and Cursor through the API.

The Vidu MCP Server is an interface service based on the Model Context Protocol for interacting with the Vidu video generation API, providing functions such as image - to - video conversion, task status query, and image upload.

An MCP server integrated with the Scenext AI video generation platform, used to generate teaching explanation videos based on topics.

The Tavus MCP server is an AI video generation service interface based on the Model Context Protocol, providing all functions of the Tavus API v2, including 25 tools such as AI digital human creation, video generation, conversational AI, lip-syncing, and speech synthesis.

An MCP service that transforms YouTube into a queryable knowledge source, providing functions such as video search, detail retrieval, and content analysis, and supporting advanced operations such as summary generation and learning path planning through AI.