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Add 4-5 seconds to existing videos using AI, generating new content that continues from the last frame to create longer sequences or additional scenes.
Enables LLM clients to programmatically generate videos using Plainly's API by listing available video templates, retrieving template parameters, submitting render requests, and checking render status.
Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.
MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to:
Submit and validate constraint models
Set model parameters
Solve constraint satisfaction and optimization problems
Retrieve and analyze solution