Provides tools for interacting with the ZapCap.ai API to upload videos, create processing tasks, and monitor their progress.
This unofficial Model Context Protocol (MCP) server for ZapCap.ai simplifies the automation of video processing workflows. It enables users to upload video files or URLs, create highly customizable processing tasks using ZapCap's templates, and monitor their progress. Key advantages include streamlined API key management, allowing a one-time configuration instead of repeated manual inclusion, and a natural language interface that translates user descriptions into complex API requests, making video task creation more intuitive and efficient. The server also leverages Pydantic for robust type safety and parameter validation.
Key Features
01Video upload capabilities (from file path or URL)
02Highly customizable video processing task creation (templates, subtitles, styles)
03Task progress monitoring
040 GitHub stars
05Simplified API key management for ZapCap.ai
06Natural language interface for task creation
Use Cases
01Automating video uploads to ZapCap.ai via an MCP client
02Programmatically creating and customizing video processing tasks with AI assistants
03Integrating ZapCap.ai video processing into automated content creation workflows
