DavinciVideoMcp
MCP server for DaVinci Resolve video editing, enabling AI agents to execute editing operations, manage creative libraries, and analyze media content.
README
DavinciMcp 文档基线
本目录是新工程的产品、架构、实施与专业 Skills 基线。
阅读顺序
AGENTS.md:开发原则、语言要求、范围控制和完成后汇报;docs/PRODUCT.md:产品目标、用户流程、范围和验收;docs/ARCHITECTURE.md:模块、进程、数据、任务和扩展边界;docs/CREATIVE_LIBRARY.md:Nextcloud 创意素材库、目录、检索与本地缓存;docs/MEDIA_INTELLIGENCE.md:上传校验、FunASR、多模态证据和素材理解实现;docs/DAVINCI_ENGINE_MCP.md:自研 Resolve 执行 MCP、参考仓库、能力迁移与验收合同;.agents/skills/*/SKILL.md:各专业任务的判断方法与交接;docs/IMPLEMENTATION_PLAN.md:本次开发的纵向切片;
权威范围
- 开发过程与交付说明以
AGENTS.md为准; - 产品需求以
docs/PRODUCT.md为准; - 系统实现边界以
docs/ARCHITECTURE.md为准; - 创意素材管理与检索以
docs/CREATIVE_LIBRARY.md为准; - 媒体分析与素材理解输入以
docs/MEDIA_INTELLIGENCE.md为准; - Resolve 执行合同、外部实现参考和能力迁移边界以
docs/DAVINCI_ENGINE_MCP.md为准; - 专业判断方法以对应
SKILL.md为准; - 精确字段、枚举和接口参数以代码 Schema 与自动生成接口文档为准。
文档之间出现冲突时,不自行折中:先按以上权威范围定位责任,再向产品负责人确认。
本机配置
.env.example:多模态反代、Nextcloud、缓存和工作区配置示例;数据库、项目文件和创意缓存默认统一放在./workspace/;models/manifest.example.yaml:FunASR 本地模型配置示例;
真实密钥、模型权重、数据库、工作区和本地缓存不得提交 Git。
固定运行环境
本项目首期复用现有 Conda 环境,不得自动创建新的 Python 环境:
Conda 环境名:unofficial-davinci-mcp-win
Python 版本:3.10.20
开发、安装依赖和启动前使用:
conda activate unofficial-davinci-mcp-win
python --version
where python
API、Worker 和 davinci-engine-mcp 必须使用同一个解释器。未经产品负责人明确同意,不得执行 conda create、python -m venv、uv venv、Poetry 自动建环境或创建 .venv。统一启动器应优先使用:
conda run --no-capture-output -n unofficial-davinci-mcp-win python -m davinci_app
启动时必须校验 CONDA_DEFAULT_ENV、Python 版本和 sys.executable;不符合时直接停止并提示激活现有环境,不能自行创建替代环境。
本机启动
在仓库根目录执行:
.\scripts\start.ps1
该脚本只复用 unofficial-davinci-mcp-win,启动 API 与持久 Worker;Engine MCP 仅由 Worker 按需以 stdio 子进程启动。
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