# JianYing

> Use this tool when you need to automate video editing tasks, such as draft management, media handling, and track operations, through a programmatic interface. It solves problems related to batch processing of media content and automated creation of video projects, providing inputs like video, audio, and text files, and outputs like edited video projects. Ideal for use cases where manual interface interaction is not feasible, such as large-scale video editing workflows.

Canonical page: https://skillsregistry.net/skills/hey-jian-wei-jianying  
JSON: https://api.skillsregistry.net/v1/skills/hey-jian-wei-jianying

## Description

This MCP server provides programmatic access to JianYing (剪映) video editing functionality through Python automation and UI control. Built with comprehensive tools for draft management, media handling (video, audio, text), track operations, and export capabilities, it integrates with JianYing's desktop application using UI automation libraries like uiautomation and media processing tools like imageio and pymediainfo. The implementation includes validation systems for material overlap detection, effect management, and time formatting utilities, making it suitable for automated video editing workflows, batch processing of media content, and programmatic creation of video projects without manual interface interaction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-22

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hey-jian-wei-jianying)
- **Repository:** <https://github.com/hey-jian-wei/jianying-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hey-jian-wei-jianying"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hey-jian-wei-jianying` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hey-jian-wei-jianying/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
