AI Video Generator MCP Server
Enables configuration of API keys through environment variables in a .env file for secure credential management.
Provides package management for installing dependencies and running the server through npm commands.
Offers access to Luma Ray2 Flash, an AI model for image-to-video conversion, allowing for video generation from text prompts or images.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AI Video Generator MCP Server Create a 9-second video of a sunset over mountains with Kling model"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Video Generator MCP Server
This MCP (Model Context Protocol) server provides tools to generate videos from text prompts and images using AI image generation models.
Compatible Models
Luma Ray2 Flash - Luma's cutting edge image to video conversion model
Kling v1.6 Pro - Kling's high quality image to video conversion model
Related MCP server: Video Edit MCP Server
function
Video generation from text prompts
Video generation with start and/or end images
Control video parameters (aspect ratio, resolution, duration, loop)
Check the generation status
Choosing which AI model to use
install
Clone this repository
Install the dependencies:
npm installCreate a
.envfile and set your FAL.AI API key:FAL_KEY=your_fal_key_hereYou can get the API key from FAL.AI
Building the Server
npm run buildRunning the Server
You can run the server directly:
npm startIntegration with Claude Desktop
To use this server with Claude Desktop, add the following to your claude_desktop_config.json file:
{
"mcpServers": {
"video-generator": {
"command": "node",
"args": ["your_install_path/fal-mcp-server/build/index.js"],
"env": {
"FAL_KEY": "your_fal_key_here"
}
}
}
}Available Tools
generate-video
It uses AI models to generate videos from text prompts and/or images.
Parameters:
prompt(required): A text description of the content of the video you want to generate.image_url(optional): The starting image URL for the video (URL or base64 data URI).end_image_url(optional): The end image URL for the video (URL or base64 data URI).aspect_ratio(default "16:9"): Video aspect ratio ("16:9", "9:16", "4:3", "3:4", "21:9", "9:21")resolution(default "540p"): Video resolution ("540p", "720p", "1080p")duration(default "5s"): video length ("5s", "9s")loop(default false): whether the video should loopmodel(default "luma"): AI model to use ("luma"=Ray2, "kling"=Kling v1.6 Pro)
check-video-status
Check the status of your video generation request.
Parameters:
request_id(required): The request ID to check.model(default "luma"): AI model used for the request ("luma"=Ray2, "kling"=Kling v1.6 Pro)
Claude usage example
猫が毛糸玉で遊んでいる動画を生成してください。縦向きモードでお願いします。Klingモデルを使用してください。Claude calls the generate-video tool with the appropriate parameters and provides the resulting video URL.
Compare Models
Luma Ray2 Flash : Excellent for smooth motion and realistic physics, producing natural results.
Kling v1.6 Pro : Excellent for detailed textures and special effects, producing stylized results.
Depending on the prompt and the desired outcome, different models may work best.
Limitations
Video generation may take some time (especially at higher resolutions)
A valid FAL.AI API key and sufficient credits are required
Higher resolution and longer videos cost more credits
Both models consume FAL.AI credits (prices may vary per model)
troubleshooting
API Key Error
Make sure the FAL_KEY environment variable is set correctly, or you can set it directly in the Claude Desktop configuration file.
Video Generation Error
If an error occurs during video generation, a detailed error message will be logged. Common issues are:
Invalid or expired API key
Insufficient credits on your account
Inappropriate prompts or images
A temporary server-side issue
If the error persists, wait a while and try again or try changing the prompt.
license
MIT
Available Tools
2 toolscheck-video-statusC
Check the status of a video generation request
Inputs: request_id (required), model.
generate-videoB
Generate a video from text prompt and/or images using AI models (Luma or Kling)
Inputs: prompt (required), aspect_ratio, duration, end_image_url, +4 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have completely distinct purposes with no overlap: one checks status of existing requests, the other creates new videos. An agent would never confuse these functions as they operate on different stages of the video generation workflow.
Both tools follow a consistent verb-object naming pattern with hyphen separation: 'check-video-status' and 'generate-video'. The naming is predictable and follows the same convention throughout the set.
With only 2 tools for a video generation server, the surface feels severely limited. While the basic create+status pair covers minimal functionality, a video generation domain typically requires more operations like listing videos, canceling generations, or managing templates. The count is too low for the apparent scope.
The toolset provides only generation initiation and status checking, creating significant gaps. Missing are operations like listing existing videos, canceling pending generations, retrieving generated content, managing templates/presets, or configuring generation parameters. Agents will hit dead ends when trying to manage the video lifecycle beyond initial creation.
Related MCP Connectors
AI video generation MCP server for Kling, MiniMax, Luma & Hunyuan with prompt blueprints.
1MCP server for Kling AI video generation
Stivio MCP server - AI image-to-video generator via MCP.
MCP server for Google Veo AI video generation
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