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为DaVinci Resolve Studio提供MCP服务器集成的开源工具。支持通过MCP协议与达芬奇视频编辑软件交互,实现自动化工作流控制。适合视频后期制作专业人士和开发者集成定制工具。
davinci-resolve-mcp MCP工具 是一款基于 Python 开发的开源工具,专注于 MCP服务器、达芬奇、视频编辑 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
为DaVinci Resolve Studio提供MCP服务器集成的开源工具。支持通过MCP协议与达芬奇视频编辑软件交互,实现自动化工作流控制。适合视频后期制作专业人士和开发者集成定制工具。
davinci-resolve-mcp MCP工具 是一款基于 Python 开发的开源工具,专注于 MCP服务器、达芬奇、视频编辑 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:pip 安装(推荐)
pip install davinci-resolve-mcp
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install davinci-resolve-mcp
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/samuelgursky/davinci-resolve-mcp
cd davinci-resolve-mcp
pip install -e .
# 验证安装
python -c "import davinci_resolve_mcp; print('安装成功')"
# 命令行使用
davinci-resolve-mcp --help
# 基本用法
davinci-resolve-mcp input_file -o output_file
# Python 代码中调用
import davinci_resolve_mcp
# 示例
result = davinci_resolve_mcp.process("input")
print(result)
# davinci-resolve-mcp 配置文件示例(config.yml) app: name: "davinci-resolve-mcp" debug: false log_level: "INFO" # 运行时指定配置文件 davinci-resolve-mcp --config config.yml # 或通过环境变量配置 export DAVINCI_RESOLVE_MCP_API_KEY="your-key" export DAVINCI_RESOLVE_MCP_OUTPUT_DIR="./output"
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A Model Context Protocol (MCP) server that lets AI assistants control DaVinci Resolve Studio through the official Scripting API. It provides full API coverage plus guarded workflow helpers for editing, media pool organization, render setup, review markers, grading, Fusion, Fairlight, project lifecycle tasks, extension authoring, and source-safe media analysis.
A local browser control panel ships with the server for inspecting Resolve state, running source-safe analysis, drilling into analyzed clips and shots, and editing analysis output inline. See the Control Panel Guide for the full tour.
| Area | What the compound server supports |
|---|---|
| App and project control | Launch/reconnect, page switching, project CRUD, project folders, databases, cloud project wrappers, settings, presets, archives |
| Media pool and ingest | Safe import, image sequences, multicam prep timelines, bin organization, metadata normalization, metadata field inventory, marks, annotations, relink/proxy/full-resolution guards |
| Media analysis | Source-safe file/clip/bin/project analysis, 2-pop/slate-clap sync-event detection, default Resolve metadata and Media Pool marker writeback, persisted analysis artifacts, existing-report reuse, host_chat_paths visual analysis (finalized per clip with commit_vision, works with any vision-capable MCP client) with opt-out, transcription with opt-out |
| Timeline editing and conform | Track/item probing, title text key scans/writes, copy/move/duplicate helpers, ripple insert, range operations, gaps/overlaps, source ranges, checked interchange exports/imports |
| Review annotations | Timeline/item/clip markers, custom data, flags, clip color, copy/move/sync cleanup, review reports, marker thumbnail review |
| Color and grading | Node graph probing, CDL validation, grade copy, DRX/LUT helpers, versions, Gallery stills, color groups |
| Fusion | Timeline-item comps, safe tool creation, input writes, port inspection, validated connections, scoped bulk writes |
| Audio and Fairlight | Track/item probes, source mapping, guarded audio property writes, voice isolation, auto-sync planning, transcription/subtitle probes |
| Render and deliver | Format/codec matrix probing, render settings validation, queued job lifecycle checks, guarded Quick Export |
| Extension authoring | Fuse, DCTL, ACES DCTL, and Resolve-page Lua/Python script lifecycle helpers with safe MCP-marked install/remove |
| Craft guidance | The bundled editorial, colour, audio, and workflow guidance served as prose over MCP — indexed, searchable, and readable by any client, not just ones with this repository on disk |
- DaVinci Resolve 18.5+ on macOS, Windows, or Linux. Studio supports external scripting directly. The free edition does not — Blackmagic gates external scripting to Studio — but it is still reachable through the in-app bridge, which runs inside Resolve from the ungated Workspace ▸ Scripts menu. - Python 3.10+ (3.10-3.12 is the lowest-risk range). Python 3.13/3.14 also work on recent Resolve builds (verified on Studio 20.3.2); older builds may fail to connect on 3.13+, in which case use 3.10-3.12. - Resolve external scripting set to Local (Studio). On the free edition this preference has no effect — use the in-app bridge instead.
Resolve 19.1.3 remains the compatibility baseline. Resolve 20.x scripting calls are additive, version-guarded, and live-tested on 20.3.2. Resolve 21.0 scripting additions (audio classification, speaker-detection transcription, IntelliSearch, slate analysis, motion-deblur, speech generation, session background-task control) are exposed behind runtime capability detection, so they stay inert on older builds and activate automatically on Resolve 21+. They are live-tested on Studio 21.0.2.4 — see the Resolve 21 delta. Note that AnalyzeForIntellisearch, AnalyzeForSlate and GenerateSpeech each require a separately-downloaded AI Extras pack, and Resolve reports a missing pack inconsistently (some return False, others an error string), so these actions report success: false with the Resolve-supplied reason rather than guessing.
npx davinci-resolve-mcp setup
Before connecting, open DaVinci Resolve Studio and set Preferences > General > External scripting using to Local. (On the free edition that preference does not help — see Free edition below.) The npm launcher installs a managed copy under your user application-data directory, then runs the universal Python installer. The installer creates a virtual environment, detects Resolve paths, and can configure Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, Continue, Cline, Roo Code, OpenCode, Codex CLI, and JetBrains IDEs.
For source installs:
git clone https://github.com/samuelgursky/davinci-resolve-mcp.git
cd davinci-resolve-mcp
python install.py
For platform paths, client-specific config, and manual setup, see Installation and Configuration.
The installer and server check the latest GitHub release for MCP updates. Checks are best-effort and throttled; the server never blocks MCP startup for a prompt. The installer can prompt, snooze, ignore a release, disable checks, or apply an opt-in safe auto-update for clean git checkouts.
The same package ships a second, optional MCP server: davinci-resolve-advanced-mcp (bin bin/davinci-resolve-advanced-mcp.mjs). Where the Python server drives a live Resolve over the sanctioned scripting API, the advanced server does what the API can't — it reads and edits Resolve files (.drp / .drt / .drx) and applies DB/XML-level changes with no Resolve running, so it runs cloud or local. 18 tools: drp, drt, drx (per-clip grade codec plus a deterministic, offline grading/QC catalog — within-camera + cross-camera skin (v2 skin-line metric) + b-roll + neutral-patch WB matching, match-to-reference, saturation/black-balance, contrast-normalize, ASC CDL import, lossless grade-transfer + season-look authoring, named-LUT attach, scope reads + intent tags, verify-grade, display-referred frame extraction, broadcast-legal QC), offline_ref, conform (frame-oracle conform/relink QC + lineage), color_trace (carry grades across a re-conform), fusion, audio_plan, fairlight (bus routing), audio, project_read, project_db, pipeline (a DB-as-truth pipeline: compile YAML project specs into a canonical SQLite DB, then run stages with gates, provenance, and intent↔actual drift detection), capabilities, deliverable (deliverable QC / compliance), media (media front-end / AE ingest), editorial (editorial integrity / changelist), provenance (provenance / audit / episode report). It can also be consumed as a library (importable engine API), not just spawned as a server.
DRX grade writes are live-calibrated against Resolve Studio: grade params take Resolve's on-screen panel units by default (space: 'ui' | 'drx'), and the structural writes (power windows, qualifiers, HDR zones, HSL curves, ColorSlice, blur/key/motion-effects) are panel-readback-verified — per-control status in resolve-advanced/vendor/drx-parameters/CALIBRATION-STATUS.md. It also closes a UI-only gap: programmatic "Cleanup Node Graph" (drx relayout for one clip, project_db relayout_node_graphs for a whole project) — node layout tidied, grade content byte-preserved.
Add it alongside the live server (both ship in one npm install):
{
"mcpServers": {
"davinci-resolve": { "command": "<python>", "args": ["<path>/src/server.py"] },
"davinci-resolve-advanced": { "command": "node", "args": ["<path>/bin/davinci-resolve-advanced-mcp.mjs"] }
}
}
install.py prints both entries. The core is pure-JS/MIT with no required native modules; a few features need user-installed tools (ffmpeg for audio, sharp/better-sqlite3 for some paths) — call the capabilities tool for live status and install hints.
Unlike the Python server, this one has Node dependencies. npx davinci-resolve-mcp setup installs them into the managed install (npm install --omit=dev --omit=optional under resolve-advanced/) and only then registers the bin. If that install could not run — offline, or npm unavailable — setup registers an npx command for the advanced server instead, so the entry it writes always boots. To repair an existing install without re-running setup: npx davinci-resolve-mcp sync.
Every compound tool return carries an _operation block beside its payload, so an agent reads one shape instead of a different key per tool: status (success / partial / blocked / failed), verification (with contradiction kept distinct — Resolve reported success and the readback disagreed), changes (the semantic delta), warnings, and an execution_id.
Two absences are meaningful and deliberate. verification.status: "unverified" means no evidence was reported, not "checked and clean". A missing changes means the action did not report a delta, not that nothing changed — an empty {} there would be a confident, wrong answer about an edit that simply never declared one.
The envelope is namespaced rather than merged into the top level because status, operation, warnings, result and changes are all already domain keys here; flattening would rewrite a background job's status: "done" and a confirm gate's status: "confirmation_required". `setup(action="set_defaults", params={"result_envelope": "pure" | "legacy"})` changes the shape, per call via params={"envelope": ...}, per process via RESOLVE_MCP_RESULT_ENVELOPE.
The core install is deliberately small: Python, ffmpeg, and the Resolve scripting API. Some features need more, and each one refuses honestly with its own install line rather than degrading into a guess — a fabricated tempo or an invented level produces confident, wrong output, which is worse than no feature.
Run python scripts/doctor.py to see which of these you have.
| Extra | Unlocks | Licence |
|---|---|---|
| **ffmpeg** on PATH | Silence detection, dead-space markers, level measurement, audio analysis. The single most useful thing to install. | LGPL/GPL — invoked as a subprocess, never bundled |
pip install numpy | Colour pre-balance, reference-still matching, sound-density audit | BSD |
pip install librosa | Beat, bar and phrase detection for music-driven cutting | ISC |
pip install -U openai-whisper | Transcription, and everything word-level built on it | MIT |
pip install open_clip_torch | Visual similarity and find_similar | MIT |
pip install transformers | CLAP audio embeddings | Apache-2.0 |
pip install opencv-python | Additional frame analysis | Apache-2.0 |
media_analysis action capabilities reports the analysis stack in detail and tells you what each missing piece would enable.
Nothing here is bundled. Model weights carry their own licences separate from the code that loads them; check them before commercial use.
专业的MCP集成方案,为达芬奇用户提供自动化接口。社区活跃,实用性强,但受限于软件生态。
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建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,davinci-resolve-mcp MCP工具 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | davinci-resolve-mcp |
| 原始描述 | 开源MCP工具:MCP server integration for DaVinci Resolve Studio。⭐1.1k · Python |
| Topics | MCP服务器达芬奇视频编辑自动化工作流Blackmagic |
| GitHub | https://github.com/samuelgursky/davinci-resolve-mcp |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-16 · 更新时间:2026-05-19 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。