VidMCP — Smart MCP Server for AI Video Generation

Name: VidMCP — Smart MCP Server for AI Video Generation
Author: aparna162

@aparna162

代码仓库

关于 VidMCP — Smart MCP Server for AI Video Generation

The missing layer between your AI assistant and every major video tool.

#video #mcp #ai-video #kling #runway #fal-ai #python #video-generation #pipeline #memory

基本信息

分类

媒体与设计

传输方式

stdio

发布者

aparna162

提交者

Aparna Mohanty

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "vidmcp": {
      "command": "python",
      "args": [
        "server.py"
      ],
      "cwd": "/path/to/vidmcp",
      "env": {
        "FAL_API_KEY": "<YOUR_FAL_API_KEY>",
        "KLING_API_KEY": "<YOUR_KLING_API_KEY>",
        "RUNWAY_API_KEY": "<YOUR_RUNWAY_API_KEY>",
        "ELEVENLABS_API_KEY": "<YOUR_ELEVENLABS_API_KEY>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is VidMCP?

VidMCP is an MCP server that acts as a smart routing layer between AI assistants and video generation tools. It automatically selects the best model (Kling, Runway, or Fal.ai) based on the prompt, runs a full pipeline, and delivers the video without manual API setup. It is for users who want to generate videos via natural language from any MCP-compatible client.

How to use VidMCP?

Install Python 3.11+ and uv, clone the repository, run uv sync, and create a .env file with your API keys. Configure the server in your MCP client (e.g., Claude Desktop, Cursor, Windsurf) by adding the JSON config pointing to server.py. Then simply describe what you want in natural language — VidMCP automatically picks the best tools and executes the pipeline.

Key features of VidMCP

Smart routing across Kling, Runway, and Fal.ai models
Full pipeline: generation, transcription, audio, merge, quality check
Memory of user style and preferences across sessions
Raw video processing: upload, auto-transcribe, filler word detection
BYOK model: bring your own API keys, no markup on generation
Works with Claude Desktop, ChatGPT, Cursor, Windsurf
14 tools including route, generate, pipeline, process, animate, restyle

Use cases of VidMCP

Generate cinematic videos from text descriptions
Clean up recordings by removing filler words and transcribing
Animate static product photos into short videos
Apply style transfer or restyle existing footage
Create voiceover audio and merge with generated or uploaded footage

FAQ from VidMCP

What does BYOK mean and how does pricing work?

BYOK means you connect your own API keys from providers like Kling, Runway, Fal.ai, and ElevenLabs. You pay those providers directly at their standard rates. VidMCP charges only for the intelligence layer — smart routing, pipeline management, and memory — not for video generation itself.

What happens if I don't have any API keys?

VidMCP auto-detects available keys and falls back to free options automatically. For video it uses Pollinations (free, no signup), for audio it uses Edge TTS (free). So you can start generating without any keys.

Which models are supported and what are their requirements?

Supported models include Kling 3.0 (cinematic, requires KLING_API_KEY), Runway Gen-4 (style transfer, requires RUNWAY_API_KEY), Wan 2.2 via Fal.ai (general video, requires FAL_API_KEY), and Pollinations (free, no key). Priority order for video is Kling →

媒体与设计分类下的更多 MCP 服务器

Video Editor MCP server

burningion

MCP Interface for Video Jungle

278

YouTube MCP Server

anaisbetts

A Model-Context Protocol Server for YouTube

532

RustChain MCP

Scottcjn

MCP server for RustChain blockchain and BoTTube video platform — AI agent tools for earning RTC tokens. Built on createkr's RustChain SDK.

Figma MCP Server

JayArrowz

Figma MCP Server with full API functionality

MiniMax MCP

MiniMax-AI

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

1.5K