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vectcut-api

Automates cloud-based video editing workflows via the VectCutAPI for CapCut/JianYing projects.

1|2|Updated Jan 25, 2026
Search Tags:#mcp#rest api#video editing#jianying#capcut#python client#vectcutapi
One-click install
npx skills add https://github.com/HUNSETO1413/vectcut-skill --skill vectcut-api-hunseto1413
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vectcut-api
Source: https://github.com/HUNSETO1413/vectcut-skill/tree/main/skill
Command: npx skills add https://github.com/HUNSETO1413/vectcut-skill --skill vectcut-api-hunseto1413

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Claude Code users often need to orchestrate multiple steps in professional video editing, from drafting and asset management to text, subtitles, effects, and batch processing, across CapCut/JianYing environments. This skill bundles the VectCutAPI to simplify end-to-end workflows through HTTP REST and MCP, providing a single integration point for automation and AI-driven pipelines.

Core Features & Use Cases

  • Programmatic control over CapCut/JianYing via REST and MCP endpoints, including create_draft, add_video, add_audio, add_text, add_subtitle, add_sticker, add_effect, add_video_keyframe, and batch processing.
  • Built-in Python client (vectcut_client.py) to compose and run common workflows, with a ready-made example set for AI agents and n8n-like automation.
  • Supports MCP integration for AI agents and workflow automation, including drafting, asset management, and export options.

Quick Start

Install the required Python dependencies, clone this skill, and run a simple workflow to create a draft and export the final video.

Frequently Asked Questions about vectcut-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate CapCut video editing workflows with Python?▼

You can automate CapCut video editing workflows by using the included Python client to drive VectCutAPI REST endpoints, handling drafting, media management, text, subtitles, and effects programmatically.

Can I use MCP endpoints to integrate JianYing automation into an AI agent pipeline?▼

Yes, VectCutAPI supports MCP integration to connect JianYing automation into AI agent pipelines, enabling workflow orchestration for drafting, asset management, and video export through standard MCP endpoints.

Does VectCutAPI support batch processing and keyframes for CapCut projects?▼

VectCutAPI supports both batch processing and video keyframes for CapCut projects, allowing you to automate complex editing sequences and apply keyframe-based animations through REST API calls.

Do I need Python 3.10 and the requests library to use VectCutAPI?▼

Yes, VectCutAPI requires Python 3.10 or higher and the requests library to run the Python client, which composes and executes HTTP REST calls to the VectCutAPI endpoints for video editing automation.

What's the best way to programmatically add subtitles and effects in JianYing?▼

The best way to programmatically add subtitles and effects in JianYing is through the VectCutAPI Python client, which provides dedicated functions like add_subtitle, add_effect, add_sticker, and add_video_keyframe for direct REST integration.

How does VectCutAPI handle drafting and media management for CapCut video projects?▼

VectCutAPI handles drafting and media management by exposing REST API functions like create_draft, add_video, and add_audio, enabling automated assembly of CapCut project timelines and asset libraries.

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