Summary
The Jianying MCP server enables AI assistants to automate video creation for Jianying (a popular Chinese video editing platform) through natural language commands. It provides tools for managing video drafts, tracks, and media elements, including capabilities to add video segments, audio, text, animations, transitions, filters, and various effects, while supporting both local files and URLs as input sources. The server generates Jianying-compatible project files that can be further edited, solving the problem of programmatically creating professional video content without manual editing.
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Get API Key Now →JianYing MCP - 剪映视频制作 MCP 服务器
一个基于 Model Context Protocol (MCP) 的剪映视频制作自动化工具，让 AI 助手能够通过自然语言创建专业的视频内容。
🎯 项目简介
jianying mcp是一个强大的视频制作自动化工具，通过mcp协议让AI能够：
- 🎬 自动创建剪映草稿项目
- 🎵 智能添加音频、视频、文本素材
- ✨ 应用各种特效、滤镜、动画
- 🎨 自动化视频编辑流程
- 📤 导出为剪映可编辑的项目文件
🚀 核心功能
📋 草稿管理
rules- 制作视频规范create_draft- 创建新的视频草稿项目export_draft- 导出为剪映项目文件
🛤️ 轨道管理
create_track- 创建视频/音频/文本轨道
🎥 视频处理
add_video_segment- 添加视频片段(可以是本地文件，也可以是url)add_video_animation- 添加入场/出场动画add_video_transition- 添加转场效果add_video_filter- 应用滤镜效果add_video_mask- 添加蒙版效果add_video_background_filling- 背景填充add_video_keyframe- 关键帧动画
🎵 音频处理
add_audio_segment- 添加音频片段(可以是本地文件，也可以是url)add_audio_effect- 音频特效（电音、混响等）add_audio_fade- 淡入淡出效果add_audio_keyframe- 音频关键帧
📝 文本处理
add_text_segment- 添加文本片段add_text_animation- 文字动画效果add_text_bubble- 文字气泡效果add_text_effect- 文字花字特效
🔧 实用工具
parse_media_info- 解析媒体文件信息find_effects_by_type- 查找可用特效资源
📦 快速开始
1. 安装 uv
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
2. 克隆项目并安装依赖
git clone https://github.com/your-username/jianying-mcp.git
cd jianying-mcp
uv sync
3. 配置 MCP 客户端
以 Augment Code 为例，在 MCP 客户端中添加服务器配置：
{
"mcpServers": {
"jianying-mcp": {
"command": "uv",
"args": [
"--directory",
"/your-path/jianying-mcp/jianyingdraft",
"run",
"server.py"
],
"env": {
"SAVE_PATH": "/your-path/draft",
"OUTPUT_PATH": "/your-path/output"
}
}
}
}
- SAVE_PATH:数据存储路径 - 存储草稿的操作数据
- OUTPUT_PATH:导出路径 - 生成的剪映草稿文件存放位置
🎥 演示视频
🔧 开发指南
调试模式
使用 MCP Inspector 进行调试：
uv run mcp dev jianyingdraft/server.py
🙏 致谢
- Model Context Protocol - 提供了强大的 AI 集成协议
- pyJianYingDraft - 剪映项目文件处理库
⭐ 如果这个项目对你有帮助，请给个 Star 支持一下！
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Start earning →Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →UpdatedMar 1, 2026