Scrptly Video Generator
An Ai Video Agent that can generate professional and complex videos with simple prompts and context images.
closeLoginsearchSearchSignup1,000
←Scrptly's MCP Server
The Scrptly MCP (Model Connector Protocol) Server allows you to connect Scrptly with your preferred Large Language Model (LLM) via the MCP interface. This enables you to leverage custom LLMs for generating professional videos through Scrptly's AI Agent.
Setting Up the MCP Server
You can connect Scrptly's MCP Server to your LLM of choice through this configuration:
- Endpoint URL:
https://mcp.scrptly.com/ - Authentication: Use your Scrptly API key for authentication. The authentication method used is Bearer Token in the
Authorizationheader.
For clients that require a JSON configuration, here is an example setup:
{
"mcpServers": {
"scrptly-video-generator": {
"command": "npx",
"args": ["mcp-remote", "https://mcp.scrptly.com/", "--header", "Authorization: Bearer YOUR_API_KEY_HERE"]
}
}
}
Using the MCP Server
Scrptly's MCP Server acts as a bridge between your LLM and Scrptly's AI Video-Agent. When you send requests to the MCP Server, it calls Scrptly's AI Video-Agent API to generate videos based on the prompts processed by your LLM.
Scrptly's MCP currently supports the following tool:
Generate AI Video — generateAiVideo
Generate a video based on a text prompt and optional context images.
Input Parameters:
prompt: [string] A detailed text prompt for generating the video. It should include the duration of the video, the visual style, the plot/content and anything relevant to generate a high quality video.context: [array of objects] An optional array of context images to guide the video generation. Each image should have a URL and a brief description.-
context[].url: [string] The URL of a context image to be used in the video generation.
-
context[].description: [string] A brief description of the context image and how it should be used in the video.
approveUpTo: [number] The maximum cost (in tokens) that the user approves for generating the video. Optional but highly recommended. Default is 10,000 tokens.
Output Parameters:
taskId: [string] The ID of the task created to generate the AI video.projectId: [string] The ID of the AI video project created on Scrptly.projectUrl: [string] The URL to view and manage/tweak the generated AI video project on Scrptly.
Get Task Status — getTaskStatus
Check the status of an AI video generation task.
-
taskId: [string] The ID of the AI video generation task to check the status for. -
status: [string] The current status of the AI video generation task. Possible values are 'awaiting', 'processing', 'success', and 'failed'. -
statusMessage: [string] A detailed message about the current status of the task. -
resultVideoUrl: [string] The URL of the generated video file, if the task is completed successfully. -
projectId: [string] The ID of the AI video project created on Scrptly. -
projectUrl: [string] The URL to view and manage/tweak the generated AI video project on Scrptly.
Related Servers
MCP-Ambari-API
Automate Apache Ambari operations with AI/LLM: Natural language commands for Hadoop cluster management, service control, configuration monitoring, and real-time status tracking via Model Context Protocol (MCP) tools.
LIFX
Control LIFX smart lights through the LIFX HTTP API.
VFX MCP
A powerful video editing server using ffmpeg-python to process external video files.
Loxone MCP Server
An MCP server for Loxone home automation systems, allowing AI assistants to control lights, blinds, sensors, and weather.
LacyLights
AI-powered theatrical lighting design for the LacyLights system.
MCP-TFT
Provides accurate Teamfight Tactics (TFT) analysis using Data Dragon and community meta insights.
Atris MCP for Audius
Access the Audius music platform via LLMs, with 105 tools covering most of the Audius Protocol API.
Current Time JST
Provides the current time in Japan Standard Time (JST, UTC+9).
Bazi
An MCP server for accessing Bazi (Chinese astrology) data, requiring an API key.
MCP Time Server
A simple server that provides the current UTC time.