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Gursky","email":"samgursky@gmail.com"},"license":"MIT","homepage":"https://github.com/samuelgursky/davinci-resolve-mcp#readme","keywords":["davinci-resolve","resolve","mcp","model-context-protocol","video-editing","post-production"],"repository":{"url":"git+https://github.com/samuelgursky/davinci-resolve-mcp.git","type":"git"},"description":"NPM bootstrapper for the DaVinci Resolve MCP Server.","maintainers":[{"name":"samuelgursky","email":"samuel@bradfordoperations.com"}],"readme":"# DaVinci Resolve MCP 服务器\n\n[English](README.md) | 简体中文\n\n[![Version](https://img.shields.io/badge/version-4.8.22-blue.svg)](https://github.com/samuelgursky/davinci-resolve-mcp/releases)\n[![npm](https://img.shields.io/npm/v/davinci-resolve-mcp.svg?label=npm&color=CB3837)](https://www.npmjs.com/package/davinci-resolve-mcp)\n[![API Coverage](https://img.shields.io/badge/API%20Coverage-100%25-brightgreen.svg)](docs/reference/api-coverage.md)\n[![Tools](https://img.shields.io/badge/MCP%20Tools-37%20(389%20full)-blue.svg)](#服务器模式)\n[![Advanced](https://img.shields.io/badge/Advanced%20(offline)-18%20tools-blueviolet.svg)](#服务器模式)\n[![Tested](https://img.shields.io/badge/Live%20Tested-93.6%25-green.svg)](docs/reference/api-coverage.md#test-results)\n[![DaVinci Resolve](https://img.shields.io/badge/DaVinci%20Resolve-18.5+-darkred.svg)](https://www.blackmagicdesign.com/products/davinciresolve)\n[![Python](https://img.shields.io/badge/python-3.10+-green.svg)](https://www.python.org/downloads/)\n[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n\n> 本翻译对应 v4.8.22 版 README。如与英文原版有出入，以 [英文原版](README.md) 为准。\n\n一个 Model Context Protocol (MCP) 服务器，让 AI 助手通过官方脚本 API 控制 DaVinci Resolve Studio（达芬奇）。它提供完整的 API 覆盖，外加带护栏的工作流助手，涵盖剪辑、媒体池整理、渲染设置、审阅标记、调色、Fusion、Fairlight、项目生命周期任务、扩展开发，以及不碰源媒体的媒体分析。\n\n[![本地控制面板](https://raw.githubusercontent.com/samuelgursky/davinci-resolve-mcp/main/docs/images/control-panel/01-overview.png)](docs/guides/control-panel.md)\n\n服务器自带一个本地浏览器控制面板，用于查看 Resolve 状态、运行源媒体安全的分析、深入查看已分析的片段与镜头、以及在线编辑分析结果。完整导览见 [控制面板指南](docs/guides/control-panel.md)。\n\n## 快速开始\n\n```bash\nnpx davinci-resolve-mcp setup\n```\n\n连接之前，先打开 DaVinci Resolve Studio，把 **Preferences > General > External scripting using** 设为 **Local**。（**免费版**上这个偏好设置不起作用——见下文 [免费版](#免费版应用内桥接)。）npm 启动器会在你的用户应用数据目录下安装一份托管副本，然后运行通用 Python 安装器。安装器会创建虚拟环境、检测 Resolve 路径，并可自动配置 Claude Desktop、Claude Code、Cursor、VS Code、Windsurf、Zed、Continue、Cline、Roo Code、OpenCode、Codex CLI 和 JetBrains 系列 IDE。\n\n从源码安装：\n\n```bash\ngit clone https://github.com/samuelgursky/davinci-resolve-mcp.git\ncd davinci-resolve-mcp\npython install.py\n```\n\n各平台路径、客户端专属配置和手动安装步骤，见 [安装与配置](docs/install.md)。\n\n安装器和服务器会检查 GitHub 最新 release 是否有 MCP 更新。检查是尽力而为且有节流的；服务器绝不会为了弹提示而阻塞 MCP 启动。安装器支持提示更新、稍后再问、忽略某个版本、关闭检查，或对干净的 git checkout 启用可选的安全自动更新。\n\n## 免费版（应用内桥接）\n\nBlackmagic 把*外部*脚本控制限定给了 Studio 版：在免费版上，无论偏好设置怎么调，`scriptapp(\"Resolve\")` 都会拒绝外部进程。但 **Workspace ▸ Scripts** 菜单不受此限制——从该菜单启动的脚本在任何版本上都能拿到活的 `resolve` 对象——所以服务器可以通过一个在 Resolve *内部*运行的小脚本触达免费版：它把 `resolve` 对象经由一个带认证的本地回环监听器重新导出。\n\n```bash\npython scripts/install_resolve_bridge.py\n# 重启 Resolve，打开一个项目，然后：Workspace > Scripts > resolve_bridge\n```\n\n监听器一旦运行，只要外部脚本控制不可用，服务器就会**自动**使用它——无需设置任何环境变量。设置\n`DAVINCI_RESOLVE_BRIDGE=1` 则是*强制*走桥接：它会成为唯一尝试的传输方式，因此桥接一旦停止响应会\n直接报错，而不会悄悄回退到其他传输。当你明确要依赖桥接时使用它。\n\n在 **macOS** 上，Resolve 只在两个位置查找 Python 3：环境变量 `PYTHON3HOME`，然后是 `/usr/local/bin/python3`。Homebrew、pyenv、uv、conda 都不装在这两处，因此脚本会静默地不出现在菜单里。python.org 安装包之所以有效，是因为它的安装程序会创建 `/usr/local/bin/python3`——但你并不需要它：直接把 Resolve 指向你已有的解释器即可，无需 `sudo`。\n\n```bash\nlaunchctl setenv PYTHON3HOME \"$(python3 -c 'import sys; print(sys.prefix)')\"\n```\n\n必须用 `launchctl setenv` 而不是 `export`——Resolve 从 Dock 启动，看不到你 shell 的环境变量。之后重启 Resolve。安装时会顺带装一个 Lua 金丝雀脚本，帮你区分\"Python 未被检测到\"和\"目录放错\"。\n\n有两个坑（#182）。前缀里必须**同时**有 `lib/libpython3.X.dylib` 和 `bin/python3`——而且是这个**不带版本号**的名字。Homebrew 的 framework 构建经常只提供 `bin/python3.13`，在 Resolve 眼里这只算半个 Python；安装器的预检现在会明说这一点，而不是报告前缀可用。另外，`launchctl setenv` **在重启后不会保留**；如果几周之后脚本又不列出来了且没有任何报错，通常就是这个原因。想要持久生效，就把解释器放到 Resolve 本来就会查的位置（这条需要 `sudo`，并且先确认 `/usr/local/bin` 没有排在你常用 Python 的 `PATH` 前面）：\n\n```bash\nsudo ln -s \"$(command -v python3)\" /usr/local/bin/python3\n```\n\n已在免费版 21.0.3.7 和 Studio 19.1.3.7 上验证（均为 macOS）。v2.70.1（issue #106）加入的 Windows 路径发布时未经验证；后续免费版 21.0.1.11（issue #109）和免费版 21.0.3.7（issue #112）的用户报告证实，Windows 11 上桥接在 `%PROGRAMDATA%` 和 `%APPDATA%` **两处**都能安装、列出并正常服务，这些路径现在是已证实而非假设。Linux 同样已获证实：免费版 20.3.2.9 的用户报告（issue #129，Fedora 43）显示桥接可安装到 `~/.local/share/DaVinciResolve/Fusion/Scripts/Utility`，用系统 Python 就能直接枚举脚本（Linux 完全没有这套查找问题），并能端到端正常服务。现在没有任何平台停留在假设上：macOS 为本项目直接验证，Windows 和 Linux 来自用户报告。\n\n注意：桥接在服务期间会一直占用端口。v2.70.3 之前，Windows 上的桥接可能在 Resolve 退出后存活，挡住下一个会话的监听器；如果你用的是旧版本且桥接不响应了，检查是否有残留的 `fuscript.exe` 还占着端口。\n\n这是走官方文档记载的应用内路径，不是绕过授权，但 Blackmagic 有可能封掉它——请把它当作\"支持到不支持为止\"的档位。仅限本地回环，请求带 HMAC 签名，nonce 一次性使用。\n\n## 本地控制面板\n\n从仓库根目录启动单用户本地控制面板：\n\n```bash\nvenv/bin/python -m src.control_panel\n```\n\n该命令启动一个仅绑定回环地址的服务器，并在浏览器中以带每次启动令牌的 URL（`http://127.0.0.1:8765/#token=…`）打开控制面板——请使用这个完整 URL，面板会拒绝不带令牌的请求。想让 AI 编码助手代劳，可以说：**\"Open the Resolve MCP control panel for this repo.\"** 除非你的 Python 环境已激活，否则 agent 应使用 `venv/bin/python -m src.control_panel`。持久化的分析任务在切片成功后会自动刷新本地搜索索引；手动的 Build Index 按钮用于从已有报告重建索引。\n\n## 服务器模式\n\n| 模式 | 入口 | 工具数 | 适合谁 |\n|------|------|--------|--------|\n| Compound（复合） | `src/server.py` | 37 | 大多数助手的默认模式。相关的 Resolve 操作按 action 参数分组，压低上下文占用。 |\n| Full / granular（细粒度） | `src/server.py --full` 或 `src/resolve_mcp_server.py` | 389 | 想要\"一个 Resolve API 方法 = 一个 MCP 工具\"的重度用户。 |\n\n除非你明确需要一方法一工具的细粒度界面，否则推荐复合模式。\n\n### Advanced 服务器——超出脚本 API 的部分（可选，Node）\n\n同一个包还带了第二个可选的 MCP 服务器：**`davinci-resolve-advanced-mcp`**（可执行文件 `bin/davinci-resolve-advanced-mcp.mjs`）。Python 服务器通过官方脚本 API 驱动一个*活着的* Resolve，而 advanced 服务器做的是 API **做不到**的事——直接读写 Resolve 的**文件**（`.drp` / `.drt` / `.drx`），在**没有 Resolve 运行**的情况下做数据库/XML 层面的修改，所以云端和本地都能跑。共 18 个工具：`drp`、`drt`、`drx`（逐片段调色编解码，**外加一套确定性的离线调色/QC 目录**——同机位 + 跨机位肤色匹配（v2 肤色线指标）+ B-roll + 中性色块白平衡匹配、参考帧匹配、饱和度/黑平衡、对比度归一化、ASC CDL 导入、无损调色迁移 + 季度风格创作、命名 LUT 挂载、示波器读数 + 意图标签、调色验证、显示参考的帧提取、广播安全 QC）、`offline_ref`、`conform`（帧级基准的套底/重链 QC + 血缘追踪）、`color_trace`（重新套底后带着调色走）、`fusion`、`audio_plan`、`fairlight`（总线路由）、`audio`、`project_read`、`project_db`、`pipeline`（**以数据库为真源的管线**：把 YAML 项目规格编译成规范化 SQLite 数据库，再按阶段执行，带关卡、溯源和\"意图↔实际\"漂移检测）、`capabilities`、`deliverable`（交付 QC / 合规）、`media`（媒体前端 / AE 摄入）、`editorial`（剪辑完整性 / 变更清单）、`provenance`（溯源 / 审计 / 单集报告）。它还可以**作为库**使用（可导入的引擎 API），不只是当服务器起。\n\nDRX 调色写入**针对 Resolve Studio 做过实机校准**：调色参数默认采用 Resolve 屏幕面板上的单位（`space: 'ui' | 'drx'`），结构性写入（Power Window、限定器、HDR 分区、HSL 曲线、ColorSlice、模糊/键控/运动特效）都经过面板回读验证——每个控件的状态见 `resolve-advanced/vendor/drx-parameters/CALIBRATION-STATUS.md`。它还补上了一个 UI 独占的缺口：**程序化\"整理节点图\"**（`drx` 的 `relayout` 处理单个片段，`project_db` 的 `relayout_node_graphs` 处理整个项目）——节点布局整理好，调色内容逐字节保留。\n\n把它和实时服务器并排配置（两者都在同一次 `npm install` 里）：\n\n```json\n{\n  \"mcpServers\": {\n    \"davinci-resolve\": { \"command\": \"<python>\", \"args\": [\"<path>/src/server.py\"] },\n    \"davinci-resolve-advanced\": { \"command\": \"node\", \"args\": [\"<path>/bin/davinci-resolve-advanced-mcp.mjs\"] }\n  }\n}\n```\n\n`install.py` 会把两个配置条目都打印出来。核心是纯 JS/MIT，无必需的原生模块；少数功能需要用户自装工具（`audio` 需要 ffmpeg，部分路径需要 `sharp`/`better-sqlite3`）——调用 `capabilities` 工具可查看实时状态和安装提示。\n\n和 Python 服务器不同，这个服务器有 Node 依赖。`npx davinci-resolve-mcp setup` 会先把依赖装进托管安装目录（在 `resolve-advanced/` 下执行 `npm install --omit=dev --omit=optional`），装好之后才注册这个可执行文件。如果安装跑不起来（离线，或者没有 npm），setup 会改为给 advanced 服务器写一条 `npx` 命令，这样写出去的配置条目总是能启动。要修复一个已有的安装而不重跑 setup：`npx davinci-resolve-mcp sync`。\n\n### Bradford Post Assistant——托管应用（封闭测试中）\n\n维护者还在这个开源基础之上构建了 **Bradford Post Assistant**，一款桌面应用。MCP 服务器给了 agent 一双手，Post Assistant 则是围绕这双手的工作副驾——一个面向后期制作的本地 AI 助手，客户素材永不离开工作站：\n\n- **后期制作副驾**——一款伴随 DaVinci Resolve 的桌面应用，实时观察会话（时间线、调色和画面帧——不只是 API 调用），内置 AI 助手与 agent 运行时、本地媒体分析（转写、帧分析、剪辑智能）和应用内套底 QC。\n- **记忆**——持久化、加密的本地助手记忆，外加从你管线的解码事实中挖掘的跨集学习（季度风格漂移、按机位的校色先验、主帧库、套底路径映射复用），积累过程托管，并有一套\"洞察须经审核\"的工作流。\n- **开箱即用的设计**——Post Assistant 自己接好一切：用本 MCP 控制 Resolve，用 Bradford API 提供扩展服务，LLM 供应商由你选。无需手动配置，无需管理独立客户端，应用连同内置 MCP 通过签名自动更新保持最新。\n- **扩展专业工具集**——对在线项目做调色手术、22+ 自适应调色家族、精选风格库、交付规格校验、剪辑节奏/清理分析、自然语言调色指令、Fusion 合成创作——通过托管的 Bradford API 交付。\n- **生产级工作流**——把原始工具组合成完整的真实流程（交接 → 套底 → QC → 交付、季度风格延续、单集报告），带上客户导向工作室所需的护栏与审批。\n\n目前处于**封闭测试**阶段——可在 [bradfordoperations.com/software/post-assistant](https://www.bradfordoperations.com/software/post-assistant) 申请访问。开源服务器自身是完整且功能齐全的。\n\n## 你可以做什么\n\n```text\n\"列出所有项目，打开叫 'My Film' 的那个\"\n\"用当前 bin 里的全部片段创建一条叫 'Assembly Cut' 的时间线\"\n\"从选中的机位角度搭一条多机位预备时间线，源媒体保持不动\"\n\"检测 2-pop 或场记板拍板声，为同步准备给出 record 偏移建议\"\n\"把分析摘要、关键词、人物和场记提示发布到 Resolve 片段元数据\"\n\"探测这条时间线的缝隙、重叠、丢失媒体和源帧范围\"\n\"安全导入这个图像序列，整理进 bin，并规范化片段元数据\"\n\"搭一个 ProRes 422 HQ 渲染计划，校验设置，然后排队任务\"\n\"把审阅标记从时间线复制到选中片段，并导出审阅报告\"\n\"给这个片段的调色拍快照，校验 CDL 更新，导出临时 LUT\"\n\"在选中片段上创建 Fusion TextPlus 叠加层并验证节点连接\"\n\"报告音频通道映射、人声分离可用性和字幕支持情况\"\n\"安装这个带 MCP 标记的 DCTL 或脚本，分类刷新/重启需求，然后移除它\"\n```\n\n## 核心能力\n\n| 领域 | 复合服务器支持的内容 |\n|------|----------------------|\n| 应用与项目控制 | 启动/重连、页面切换、项目增删改查、项目文件夹、数据库、云项目封装、设置、预设、归档 |\n| 媒体池与摄入 | 安全导入、图像序列、多机位预备时间线、bin 整理、元数据规范化、元数据字段清单、标记、注释、重链/代理/全分辨率护栏 |\n| 媒体分析 | 源媒体安全的文件/片段/bin/项目分析，2-pop/场记板同步事件检测，默认写回 Resolve 元数据与媒体池标记，持久化分析产物，复用既有报告，host_chat_paths 视觉分析（每个片段以 `commit_vision` 定稿，任何具备视觉能力的 MCP 客户端都可用）可选退出，转写可选退出 |\n| 时间线剪辑与套底 | 轨道/条目探测、标题文字键扫描/写入、复制/移动/克隆助手、波纹插入、区间操作、缝隙/重叠、源范围、带检查的交换格式导入导出 |\n| 审阅注释 | 时间线/条目/片段标记、自定义数据、旗标、片段颜色、复制/移动/同步清理、审阅报告、标记缩略图审阅 |\n| 调色 | 节点图探测、CDL 校验、调色复制、DRX/LUT 助手、版本、Gallery 静帧、调色组 |\n| Fusion | 时间线条目合成、安全工具创建、输入写入、端口检查、带校验的连接、限定范围的批量写入 |\n| 音频与 Fairlight | 轨道/条目探测、源映射、带护栏的音频属性写入、人声分离、自动同步规划、转写/字幕探测 |\n| 渲染与交付 | 格式/编解码矩阵探测、渲染设置校验、队列任务生命周期检查、带护栏的快速导出 |\n| 扩展开发 | Fuse、DCTL、ACES DCTL 及 Resolve 页面 Lua/Python 脚本生命周期助手，带 MCP 标记的安全安装/移除 |\n\n### 操作信封（operation envelope）\n\n每个复合工具的返回值都会在原有 payload 旁边带一个 `_operation` 块，这样 agent 读的是同一种结构，而不是每个工具一套 key：`status`（`success` / `partial` / `blocked` / `failed`）、`verification`（其中 `contradiction` 单独成一档——Resolve 报告成功但回读结果不一致）、`changes`（语义增量）、`warnings`，以及一个 `execution_id`。\n\n有两种\"缺失\"是刻意保留其含义的。`verification.status: \"unverified\"` 表示*没有报告任何证据*，不等于\"已检查且没问题\"。`changes` 缺失表示这个动作没有报告增量，不等于什么都没改——在那里放一个空的 `{}`，等于对一次并未声明增量的剪辑给出一个自信而错误的回答。\n\n信封是带命名空间的，而不是平铺到顶层，因为 `status`、`operation`、`warnings`、`result` 和 `changes` 在这里本来就都是业务 key；平铺会改写后台任务的 `status: \"done\"` 和确认关卡的 `status: \"confirmation_required\"`。用 `setup(action=\"set_defaults\", params={\"result_envelope\": \"pure\" | \"legacy\"})` 改变形态，单次调用用 `params={\"envelope\": ...}`，进程级用 `RESOLVE_MCP_RESULT_ENVELOPE`。\n\n### Agent 执行轨迹（\"编辑器为什么这么做？\"）\n\n多步 AI 操作会跨工具调用关联成统一的执行轨迹，聚合各工具耗时（`duration_ms`）、调用次数、累计语义增量（`items_deleted`、`items_added`）以及回读校验结果。通过 `resolve_control` 查看：`get_execution_trace(execution_id?)`、`list_recent_executions()`，或用 `begin_execution(request=\"...\")` / `end_execution()` 圈定一段执行。\n\n轨迹保存在一个容量 100 条的内存环形缓冲里，并追加写入 `logs/execution-traces.jsonl`（就在 `server.log` 旁边，可用 `RESOLVE_MCP_TRACE_FILE` 改位置），文件到 8 MB 会轮转并保留一份上一代。`list_recent_executions` 会返回该路径以及是否可写，这样\"日志是空的\"和\"根本没在写\"就能区分开。记录的内容是工具名、动作、耗时、状态、语义增量和校验结果——不记录参数，也不记录文件路径。唯一的自由文本是你传给 `begin_execution` 的 `request`，在客户项目上请把它当成提交信息来写。\n\n### 导出执行审计报告\n\n`export_execution_report(execution_id?, format=\"markdown\"|\"json\")` 会把一条轨迹写成可供审阅的审计文件，默认落在 `logs/execution-reports/<execution_id>.md`。传 `path` 可以写到任何你想要的位置——比如跟着某次套底放进当天的 TransferFiles 文件夹——并且会自动创建沿途的目录，所以发出去之前请先确认路径。已存在的文件不会被覆盖，除非显式传 `overwrite: true`。`inspect_operation(tool?, target_action?, target_params?)` 会在执行前评估操作的风险等级（`low`、`medium`、`high`、`critical`）、破坏性以及影响范围（`item`、`track`、`timeline`、`project`、`system`），而 `list_lifecycle_hooks()` 则可以查看当前生效的生命周期钩子。\n\n需要强调的是：这是一套基于动作名称的启发式判断，**不是模拟执行**——它完全不碰项目，也不会校验你传的参数。`recognised: false` 表示没有任何规则命中，那些等级只是按名字给出的默认值，而不是对这次操作的结论；`snapshot_available: null` 表示\"是否能回滚未确定\"，而不是\"不能回滚\"。所有随包启用的钩子都只做观察，没有任何一个会替换工具的返回值——因此 `dry_run` 永远会走到真正的处理函数，不会有人替一个本身不支持 dry-run 的动作凭空编一份预览出来。\n\n如果这次运行根本没有做过校验，报告里写的是**\"not established — no checks recorded\"（未确立——没有记录任何检查）**，而不是\"通过\"。没有证据是一个仍然悬而未决的问题；审计文件恰恰是最不该让读者把它读成\"一切正常\"的地方。\n\n## 可选增强\n\n核心安装刻意保持精简：Python、ffmpeg 和 Resolve 脚本 API。有些功能需要更多依赖，且**每一项都会诚实拒绝并给出自己的安装命令，而不是退化成瞎猜**——编造的节拍或虚构的电平会产出自信但错误的结果，比没有这个功能更糟。\n\n运行 `python scripts/doctor.py` 查看你已具备哪些。\n\n| 增强项 | 解锁什么 | 许可证 |\n|---|---|---|\n| PATH 里的 **ffmpeg** | 静音检测、死气口标记、电平测量、音频分析。装一个东西收益最大的就是它。 | LGPL/GPL——以子进程调用，绝不捆绑 |\n| `pip install numpy` | 色彩预平衡、参考静帧匹配、声音密度审计 | BSD |\n| `pip install librosa` | 节拍、小节和乐句检测，用于跟音乐剪辑 | ISC |\n| `pip install -U openai-whisper` | 转写，及一切基于词级时间戳的功能 | MIT |\n| `pip install open_clip_torch` | 视觉相似度与 `find_similar` | MIT |\n| `pip install transformers` | CLAP 音频嵌入 | Apache-2.0 |\n| `pip install opencv-python` | 额外的帧分析 | Apache-2.0 |\n\n`media_analysis` 的 `capabilities` action 会详细报告分析栈状态，并告诉你每个缺失项装上后能解锁什么。\n\n**这里没有任何东西是捆绑的。** 模型权重的许可证独立于加载它们的代码；商用前请自行核查。\n\n## 这个工具不做什么\n\n知道一个工具的边界在哪，和知道它能做什么一样值钱——在这里读到，比在项目做到一半时才发现便宜得多。\n\n| 不支持 | 原因，以及你能得到什么 |\n|---|---|\n| **挑选最佳条次** | 表演是决定一条好坏的大头，而这些从波形或转写里都量不出来。`rank_takes` 排的是*流畅度*——填充词、重来、稿子覆盖率——并在每次响应里说明这一点。最终用的那条常常是最不流畅的一条，因为迟疑往往正是表演。用它找干净的保底条，别用它挑读法。 |\n| **自动音乐剪辑** | 可选的 `librosa` 支持节拍检测和按节拍、小节、乐句规划剪切点，但不会生成完整剪辑。强拍从第一个节拍推断；遇到弱起时用 `beat_offset` 调整。语音静音检测工具不适合寻找音乐剪切点。 |\n| **评判剪辑好坏** | 这里没有任何东西对\"这一刀剪得好不好\"持有观点。正因如此，一切破坏性操作都走 计划 → 审阅 → 确认。 |\n| **取代剪辑师** | 输出是助理剪辑意义上的初剪：摄入、同步、整理、串片、标记问题。它是给你继续剪的起点，不是成片。默认参数刻意**宽松**——初剪本来就该偏长，因为往下修快且看得见，而找回已丢弃的素材慢且看不见。 |\n| **修改你的源媒体** | 设计如此，无例外——见下文。 |\n\n任何分析过但无法验证的内容都报告为未验证，绝不折叠进\"没问题\"。空结果的意思是\"没找到\"，绝不是\"没什么可找\"。\n\n## 源媒体安全\n\n本项目将摄影机原始素材和源媒体视为不可变。分析工具只读源文件，报告只写到 sidecar、临时或项目分析目录；确认后的元数据发布只写入 Resolve 的项目数据库。除非用户明确要求，服务器不得修改、转码、代理化源媒体或生成其衍生物。详细的源媒体安全工作流见 [媒体分析指南](docs/guides/media-analysis-guide.md)。\n\n## 安全态势\n\n默认服务器是由你的 MCP 客户端启动的本地 stdio 进程；它不暴露网络监听器，也没有内置多用户认证面。两个可选的本地 HTTP 面——控制面板与联网 MCP 传输——仅绑定回环地址，每个请求都需要每次启动生成的 bearer 令牌，并校验 Host/Origin 以防 DNS 重绑定和 CSRF。工具元数据包含面向 MCP 客户端的安全提示（只读、破坏性、幂等、外部资源操作）。两个服务器上的破坏性写入都遵守 `destructive.safe_mode` 并写入安全审计日志；只有复合服务器会在修改前归档时间线——细粒度写入只会被拒绝或被记录，绝不会被恢复。操作边界、确认指引和漏洞报告见 [安全策略](SECURITY.md)。\n\n## 关键数据\n\n| 指标 | 数值 |\n|------|------|\n| MCP 工具 | **37** 复合 / **389** 细粒度（实时服务器） |\n| Advanced（离线）工具 | **18**——.drp/.drt/.drx + 数据库创作，无需 Resolve 运行 |\n| 内核 action | 9 个复合工具下 **136** 个带护栏的工作流 action |\n| API 方法覆盖 | **361/361**（100%） |\n| 实机测试方法数 | **338/361**（93.6%） |\n| 实机测试通过率 | **338/338**（100%） |\n| 测试环境 | DaVinci Resolve 19.1.3 Studio + 20.3.2 Studio + 21.0.2 Studio + 21.0.3 **免费版**（经内置桥接） |\n\n逐方法状态见 [API 覆盖与测试结果](docs/reference/api-coverage.md)。当前工作流支持见 [内核 action 覆盖](docs/kernels/README.md)。\n\n`analyze_media` 默认直接执行，在分析根目录下持久化可检查的报告/产物，通过 `host_chat_paths` 协议请求宿主对话做视觉分析（analyze 返回帧的绝对路径 + JSON schema；宿主对话把每帧当图像读取，然后调用 `media_analysis(action=\"commit_vision\", ...)` 定稿），用配置好的本地后端跑转写，并把分析摘要和源时间的媒体池片段标记写回 Resolve 项目。只有想退出这些默认行为时才传 `include_visuals=false`、`include_transcription=false`、`publish_metadata=false`、`timed_markers=no` 或 `dry_run=true`。跳过 `commit_vision` 会让运行停在 `pending_host_vision_analysis`——它会被呈现为一种失败模式，不会被静默降级。\n\n## 文档\n\n| 文档 | 用途 |\n|------|------|\n| [安装与配置](docs/install.md) | 系统要求、安装器选项、支持的客户端、服务器模式、手动配置 |\n| [API 覆盖与测试结果](docs/reference/api-coverage.md) | 关键数据、API 覆盖表、实机测试状态、完整方法参考 |\n| [内核 action 覆盖](docs/kernels/README.md) | 当前带护栏的工作流 action 地图 |\n| [AI Skill 参考](docs/SKILL.md) | AI 助手使用复合服务器的操作上下文 |\n| [控制面板指南](docs/guides/control-panel.md) | 本地浏览器面板导览：Overview、Review（bin/片段/镜头）、Analyze、Setup、Preferences |\n| [媒体分析指南](docs/guides/media-analysis-guide.md) | 源媒体安全的 FFprobe、FFmpeg、Whisper、sidecar 与分析根目录工作流 |\n| [多机位设置助手指南](docs/guides/multicam-setup-guide.md) | 堆叠时间线准备、助手/API 边界、Resolve UI 转换步骤 |\n| [剪辑决策指南](docs/guides/editorial-decision-guide.md) | 项目自有的剪辑手艺指引，用于分析与时间线决策 |\n| [套底 Avid AAF](docs/guides/conforming-an-avid-aaf.md) | 为何三条 Resolve 原生路径在合并交接上全部失败，以及哪条最危险 |\n| [原生 .drt 离线创作](docs/guides/native-drt-authoring.md) | 离线模板拼接式时间线创作：剪切、变速、转场、淡入淡出、标记、复合片段，以及背后的实测规律 |\n| [无界面剪辑循环](docs/guides/headless-edit-loop.md) | 纯命令行驱动 Resolve：哪些交换格式能重新链接并往返，GUI 与 -nogui 双双实测 |\n| [调色决策指南](docs/guides/color-decision-guide.md) | 项目自有的校色指引与 Resolve 调色 API 边界 |\n| [贡献与项目布局](docs/contributing.md) | 贡献流程、平台支持、安全说明、仓库结构 |\n| [安全策略](SECURITY.md) | 本地 stdio 信任边界、工具元数据、确认指引、漏洞报告 |\n| [发布流程](docs/process/release-process.md) | 维护者发布清单、版本面、验证、标签与发布说明 |\n| [更新日志](CHANGELOG.md) | 历史发布说明 |\n\n扩展开发参考在 [docs/authoring](docs/authoring/)。Resolve 开发者包笔记在 [docs/notes](docs/notes/) 和 [docs/integrations](docs/integrations/)。提示词配方在 [examples](examples/)。\n\n## 系统要求\n\n- DaVinci Resolve 18.5+，macOS、Windows 或 Linux。**Studio 版**直接支持外部脚本。**免费版**不支持——Blackmagic 把外部脚本限定给了 Studio——但仍可通过 [应用内桥接](#免费版应用内桥接) 触达，它从不受限的 **Workspace ▸ Scripts** 菜单在 Resolve 内部运行。\n- Python 3.10+（3.10-3.12 风险最低）。Python 3.13/3.14 在较新的 Resolve 构建上也能用（已在 Studio 20.3.2 验证）；旧构建在 3.13+ 上可能连不上，此时请用 3.10-3.12。\n- Resolve 外部脚本设为 **Local**（Studio 版）。免费版上这个偏好设置无效——请改用 [应用内桥接](#免费版应用内桥接)。\n\nResolve 19.1.3 仍是兼容性基线。Resolve 20.x 的脚本调用是增量式的、带版本护栏的，并已在 20.3.2 上实机测试。Resolve 21.0 新增的脚本能力（音频分类、说话人检测转写、IntelliSearch、场记板分析、运动去模糊、语音生成、会话后台任务控制）通过运行时能力检测暴露，在旧构建上保持沉默，在 Resolve 21+ 上自动激活。它们已在 Studio 21.0.2.4 上实机测试——见 [Resolve 21 增量明细](docs/reference/api-coverage.md#resolve-21-delta-detail)。注意 `AnalyzeForIntellisearch`、`AnalyzeForSlate` 和 `GenerateSpeech` 各自需要单独下载的 AI Extras 包，而 Resolve 报告缺包的方式不一致（有的返回 `False`，有的返回错误字符串），所以这些 action 会带着 Resolve 给出的原因报告 `success: false`，而不是瞎猜。\n\n## 报告 Bug 与提出功能需求\n\n对你的助手说\"把这个作为 bug 发送\"或\"把这个作为功能需求发送\"。它会根据对话起草一个 GitHub issue，包含失败的调用及其错误，并附上服务器版本、Resolve 构建、连接方式和操作系统。本地路径、你的用户名以及任何看起来像密钥的内容都会被脱敏。不会替你直接提交：你会拿到一个预填好的链接，检查草稿后在 GitHub 上自己提交。你也可以直接[新建 issue](https://github.com/samuelgursky/davinci-resolve-mcp/issues/new/choose)。\n\n## 开发\n\n```bash\npython src/server.py          # 复合服务器\npython src/server.py --full   # 细粒度服务器\nvenv/bin/python tests/test_import.py\nvenv/bin/python scripts/audit_api_parity.py\n```\n\n发布与验证规则在 [docs/process/release-process.md](docs/process/release-process.md)。在本仓库工作的 AI agent 请从 [AGENTS.md](AGENTS.md) 开始；Claude Code 用户也可读 [CLAUDE.md](CLAUDE.md)，它指向同一份规范说明。\n\n## 许可证\n\nMIT\n\n## 作者\n\nSamuel Gursky (samgursky@gmail.com)\n- GitHub: [github.com/samuelgursky](https://github.com/samuelgursky)\n\n## 致谢\n\n- Blackmagic Design 的 DaVinci Resolve 及其脚本 API\n- Model Context Protocol 团队让 AI 助手集成成为可能\n\n## 关于本翻译\n\n由社区贡献者 [@chenyuxiaojin](https://github.com/chenyuxiaojin) 翻译并随英文 README 的变更维护。发现翻译问题请提 issue 或 PR。\n","readmeFilename":"README.zh-CN.md"}