jianying-ai-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jianying-ai-mcp使用参考草稿模板,替换图片和文字,批量生成3份不同尺寸的草稿"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
剪映 AI 编辑 MCP + Skill
首版把自然语言剪辑规划与草稿执行分离:Skill 负责需求引导、模式选择与紧凑编辑清单;MCP 负责确定性生成、参考草稿复用、批量换料、安全校验和本地阶段进度。
验证基线:剪映专业版 10.0.5.13816、pyJianYingDraft 0.3.0、MCP Python SDK 1.29.0。
目录
src/jianying_ai_mcp/:批处理 MCP 服务skills/jianying-ai-editor/:可复用 Skilldocs/capability_matrix.md:完整测试结论configs/:客户端配置样例tests/:从零生成、参考复用、批量换料及安全边界测试
Related MCP server: capcut-mcp
MCP 工具
get_jianying_capabilities:版本、能力与限制analyze_reference_draft:从明文草稿提取剪辑蓝图build_draft:一次提交编辑清单,从零生成草稿build_from_reference:复制蓝图并按轨道/片段换料换字batch_from_template:一个模板批量生成多份草稿
工具默认 dry_run=true,会在项目暂存区完整生成和校验,但不发布到剪映目录。正式发布不会覆盖同名草稿。
本机启动
F:\构建\MCP\剪映\.venv\Scripts\python.exe -m jianying_ai_mcp服务使用 stdio MCP;普通日志不写 stdout。客户端支持时会显示 [阶段] 日志和 progress,其他客户端仍可从返回值的 stages 查看阶段。
环境变量
JIANYING_DRAFT_ROOT:剪映草稿根目录JIANYING_MCP_WORK_ROOT:暂存和参考蓝图目录JIANYING_EXE:剪映程序路径,用于检测版本JIANYING_MCP_TRANSPORT:默认stdio,也可使用sse或streamable-http
当前本机示例见 OpenCode 配置 和 通用 stdio 配置。
验证
F:\构建\MCP\剪映\.venv\Scripts\python.exe -m unittest discover -s tests -v
F:\构建\MCP\剪映\.venv\Scripts\python.exe -X utf8 C:\Users\Xanthus\.codex\skills\.system\skill-creator\scripts\quick_validate.py F:\构建\MCP\剪映\skills\jianying-ai-editor当前边界
首版不自动操作剪映内置音乐/音效库、TTS、自动字幕/文稿识别、节拍卡点和自动导出。蒙版、模糊背景及音量关键帧因当前版本实测不稳定而被显式拒绝。参考草稿只支持明文 JSON;不调用未经源码审计的解密程序。
每次工具调用都返回版本兼容提示。若剪映版本与 10.0.5.13816 不同,客户端必须向用户说明预设、在线资源和草稿结构可能变化,并先生成小样抽检。
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