DaVinci Resolve MCP Server
by Poechant
README.md
<img width="1672" height="941" alt="image" src="https://github.com/user-attachments/assets/86fa31b1-9229-484a-9ce8-6314d4015340" />
# davinci-resolve-cli (`dvr`)
[](https://pypi.org/project/davinci-resolve-cli/)
[](https://pypi.org/project/davinci-resolve-cli/)
[](https://pypi.org/project/davinci-resolve-cli/)
[](LICENSE)
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A CLI for DaVinci Resolve 18+ — project / media / render / timeline control for humans and AI agents.
## Demo
```console
$ dvr doctor --format json | jq '{version, edition, bridgeStatus}'
{
"version": "19.1.4.11",
"edition": "Studio",
"bridgeStatus": "ok"
}
$ dvr project current --format json
{
"name": "Untitled Project",
"timelineCount": 1,
"framerate": 24.0,
"resolution": { "width": 3840, "height": 2160 }
}
$ dvr render presets --format json | head -3
[
"H.264 Master",
"ProRes 422 HQ"
$ dvr timeline marker add --at 00:00:01:00 --note "review" --color Green --format json
{ "ok": true, "frame": 24, "timecode": "00:00:01:00" }
$ dvr mcp # ← then any MCP client (stdio) can call 20 tools
```
> An animated demo will replace this snapshot once `vhs docs/demo.tape` can be run on macOS 15 (the tape script and `docs/demo.tape` source are already in the repo).
## Install
```bash
pipx install davinci-resolve-cli
```
Requires DaVinci Resolve 18+ already installed (Studio recommended). macOS first; Windows/Linux follow.
## Quickstart
```bash
# Health check
dvr doctor
# Project ops
dvr project list
dvr project current
# Media batch
dvr media import ~/footage --recursive --bin "Day1"
# Render (async)
JOB=$(dvr render submit --preset "H.264 Master" --timeline cur --output ~/out.mp4 --format json | jq -r .jobId)
dvr render wait "$JOB"
# Timeline scripted edits
dvr timeline marker add --at 01:00:05:00 --note "review"
```
## Capabilities at a glance
| Domain | Subcommands | What it does |
|--------|-------------|--------------|
| `doctor` | — | Diagnose the Resolve bridge environment (version, Studio / Free, API path, issues) |
| `project` | `list / current / open / new / close / save / export / import` | Project library CRUD |
| `media` | `import / list / tag` | Media-pool batch ops — recursive import, per-bin lookup, 16 named flag colors, partial-failure reporting |
| `render` | `presets / submit / status / list / wait / cancel` | Async render queue. `submit` returns a `jobId` immediately; `wait` blocks until terminal (`completed` / `failed` / `cancelled`) |
| `timeline` | `list / current / open / new / delete / clips / cut* / move*`<br>`marker add / delete / list` | Timeline CRUD + marker ops. *`cut` and `move` go through the WI bridge but currently emit placeholder behavior because Resolve has no public razor / clip-move API — see [`docs/wi-research.md`](docs/wi-research.md). |
| `mcp` | — | Start a stdio MCP server exposing 20 tools (one per CLI verb), each with a JSON-Schema'd `inputSchema` |
| `subtitle` | `import / export` | Round-trip `.srt` / `.vtt` between disk and the timeline subtitle track |
| `config` | `show / init` | TOML-driven defaults; `<cwd>/.dvr/config.toml` and `~/.dvr/config.toml` merged, CLI flag > project > user > built-in |
| `install-wi` | `--uninstall / --force` | Deploy / remove the Workflow Integration plugin used by `timeline cut` and `timeline move` |
Conventions across every command:
- `--format json|yaml|table` — JSON by default in non-TTY, `table` (rich) in TTY, override via `DVR_OUTPUT`
- Structured errors on stderr — `{"errorCode", "message", "hint"}`, stable codes (`resolve_not_running`, `validation_error`, `not_found`, `api_call_failed`, `wi_unavailable`, …)
- `--dry-run` on every mutating command — prints the `planned` actions without touching Resolve
- Exit codes: `0` ok, `1` user error, `2` Resolve unavailable, `3` API call failed
## Output formats
| context | default |
|---------|---------|
| TTY | `table` (rich) |
| pipe / non-TTY | `json` |
Override with `--format json|yaml|table` or `DVR_OUTPUT=yaml`.
## AI Agent
`dvr` ships **two** complementary AI-agent integration paths.
### 1. Skill file (`SKILL.md`)
A SKILL.md packaged with the wheel; auto-discovered by skill systems that scan installed packages. Five worked example prompts:
- "Render the current timeline as 1080p mp4"
- "List clips imported today and tag them green"
- "Wait for render job X and tell me when it finishes"
- "Check if Resolve is ready"
- "Tag all clips in Day1 bin as Green for review"
### 2. MCP server (`dvr mcp`)
Standard stdio MCP server exposing 20 tools across `doctor` / `project.*` / `media.*` / `render.*` / `timeline.*` namespaces. Any MCP-aware AI client can wire it up:
```jsonc
// .mcp.json or your client's MCP server config
{
"mcpServers": {
"davinci-resolve": {
"command": "dvr",
"args": ["mcp"]
}
}
}
```
Tool errors are returned as structured JSON `{"errorCode", "message", "hint"}` matching the CLI's stderr contract — same error codes (`resolve_not_running`, `validation_error`, `not_found`, etc.) so an agent can branch on them deterministically.
Verify the server is reachable:
```bash
dvr mcp # blocks, reads stdin/writes stdout per MCP spec
```
## Architecture
```mermaid
flowchart LR
Human["Human<br/>(terminal)"]
Agent["AI agent<br/>(MCP client)"]
CLI["dvr CLI"]
MCP["dvr mcp<br/>(stdio)"]
Boot["bootstrap.py"]
DVRScript["DaVinciResolveScript"]
Resolve["DaVinci Resolve 18+"]
WIServer["wi_client.py<br/>(localhost:50420)"]
WIPlugin["WI plugin<br/>(JS, inside Resolve)"]
Jobs["~/.dvr/jobs.json"]
Human -->|argv| CLI
Agent -->|tool calls| MCP
MCP -->|same helpers| CLI
CLI --> Boot --> DVRScript --> Resolve
CLI -->|render jobs| Jobs
CLI -->|cut/move<br/>JSON-RPC| WIServer
WIPlugin -->|poll /inbox<br/>POST /result| WIServer
WIPlugin --> Resolve
```
Five command domains, two transports (CLI + MCP), one bridge (`DaVinciResolveScript`), one escape hatch for ops the Python API doesn't cover (Workflow Integration). Full write-up in [`docs/architecture.md`](docs/architecture.md).
## Compatibility
| OS | Status |
|----|--------|
| macOS (Apple Silicon / Intel) | ✅ primary, end-to-end verified |
| Windows | ✅ unit + CI tested (real-Resolve smoke pending community feedback) |
| Linux | ✅ unit + CI tested (Resolve Studio Linux only) |
| Resolve | Status |
|---------|--------|
| 18.x Studio | ✅ |
| 18.x Free | ⚠️ partial (render encoders limited) |
| 17.x or older | ❌ unsupported |
## Cookbook
Five end-to-end recipes covering the most common workflows. Each is a copy-paste shell snippet that assumes DaVinci Resolve 18+ Studio is running and a project is open.
### 1. Render the current timeline as 1080p H.264 mp4
```bash
# Preflight: make sure the bridge is healthy
dvr doctor --format json | jq -e '.bridgeStatus == "ok"' >/dev/null || { echo "Resolve not ready"; exit 2; }
# Pick the first preset whose name contains "H.264"
PRESET=$(dvr render presets --format json | jq -r '.[] | select(test("H\\.264"; "i"))' | head -1)
# Submit (async — returns immediately), then block until done
JOB=$(dvr render submit --preset "$PRESET" --timeline cur --output ~/Renders/out.mp4 --start --format json | jq -r .jobId)
dvr render wait "$JOB" # progress to stderr, terminal status to stdout
```
### 2. Import a SD card's footage into per-date bins
```bash
# Assumes ~/footage/<YYYY-MM-DD>/ structure
for day_dir in ~/footage/*/; do
day=$(basename "$day_dir")
dvr media import "$day_dir" --bin "$day" --recursive --format json | jq '.imported | length' \
| xargs -I{} echo "imported {} clips into '$day'"
done
```
### 3. Tag every clip in a bin as "Green" for review (skipping ones already tagged)
```bash
BIN="Day1"
IDS=$(dvr media list --bin "$BIN" --format json \
| jq -r '.[] | select(.flags | index("Green") | not) | .id')
[ -n "$IDS" ] && dvr media tag $IDS --color Green --format json
```
### 4. Drop chapter markers from a CSV file (timecode, label)
```bash
# chapters.csv:
# 00:00:00:00,intro
# 00:01:30:00,demo
# 00:04:15:00,outro
while IFS=, read -r tc label; do
dvr timeline marker add --at "$tc" --name "$label" --color Sky --format json >/dev/null
done < chapters.csv
dvr timeline marker list --format json | jq '.[] | "\(.timecode) → \(.name)"'
```
### 5. AI agent: render via MCP server
Wire `dvr mcp` into any MCP-aware client (most desktop AI assistants now support MCP — check your client's docs for the right config file path):
```jsonc
// ~/.config/<client>/mcp.json
{ "mcpServers": { "davinci-resolve": { "command": "dvr", "args": ["mcp"] } } }
```
Then ask the agent:
> "Render the currently open timeline as 1080p H.264, save it to ~/out.mp4, and tell me when it's done."
The agent will call `doctor` → `render.presets` → `render.submit(start=true)` → `render.wait` automatically. Tool errors come back as structured `{errorCode, message, hint}` so the agent can branch on `resolve_not_running` / `validation_error` / etc. deterministically.
## Configuration
`dvr` reads two optional TOML files and merges them with this precedence (highest wins):
1. **CLI flag** — per command, always wins
2. **`<cwd>/.dvr/config.toml`** — project-local; commit it to your repo so your team shares the same defaults
3. **`~/.dvr/config.toml`** — user-global; your personal preferences across all projects
4. **Built-in defaults**
Initialize a commented sample in the current project:
```bash
dvr config init
```
See exactly which layer every effective value came from:
```bash
dvr config show --format json | jq '.sources'
```
Initial supported fields (more can be added incrementally without breaking changes):
```toml
[defaults]
output_format = "json" # default --format for table-capable commands
bin = "Master" # default --bin for media import / list
preset = "H.264 Master" # default --preset for render submit
marker_color = "Blue" # default --color for timeline marker add
marker_duration = 1
```
## Troubleshooting
<details>
<summary><b>`dvr doctor` reports `resolve_not_running` but Resolve is open</b></summary>
Make sure:
1. A project is open inside Resolve (the splash / project picker doesn't count).
2. Preferences → System → General → **External scripting using** is set to `Local`. The default is `None`; `Local` is required for DaVinciResolveScript to accept connections.
3. You're on Resolve **18 or newer**. `dvr doctor` will tell you the detected version under `version`.
</details>
<details>
<summary><b>Free vs Studio — what works on Free?</b></summary>
`dvr doctor` reports your edition in the `edition` field. On Free:
- ✅ All `project`, `media`, `timeline marker *` commands work
- ⚠️ `render submit` works but some preset codecs (DNxHR, ProRes 4444, etc.) are Studio-only — the job will queue but fail at encode time
- ❌ `dvr install-wi` deploys the plugin but **Workflow Integrations require Resolve Studio** at runtime, so `timeline cut / move` will return `wi_unavailable` on Free
</details>
<details>
<summary><b>`pipx install` fails with `No matching distribution found for mcp>=1.0`</b></summary>
Your Python is 3.9 or older. dvr 0.2.1+ requires **Python 3.10+** because the `mcp` SDK does. Check with `python --version`. If your system Python is too old, install a newer one (`pyenv install 3.12`, `brew install python@3.12`, or use Homebrew Cask).
</details>
<details>
<summary><b>Windows: `dvr doctor` can't find `DaVinciResolveScript`</b></summary>
Resolve's default install path on Windows is `%PROGRAMDATA%\Blackmagic Design\DaVinci Resolve\Support\Developer\Scripting\`. If you installed Resolve to a custom location, set these two env vars before running `dvr`:
```cmd
set RESOLVE_SCRIPT_API=<your-path>\Support\Developer\Scripting
set RESOLVE_SCRIPT_LIB=<your-path>\fusionscript.dll
```
`dvr doctor --format json` shows the resolved `apiPath` and `libPath` — useful to confirm what we tried.
</details>
<details>
<summary><b>I ran `dvr install-wi` but the bridge doesn't show up in Resolve's Workspace menu</b></summary>
1. **Restart Resolve.** Workflow Integrations are scanned at launch.
2. Check you're on **Resolve Studio** — WI is Studio-only.
3. macOS: the plugin must land at `~/Library/Application Support/Blackmagic Design/DaVinci Resolve/Fusion/Workflow Integration Plugins/dvr-cli-bridge/`. `dvr install-wi --format json` prints the destination — verify the path exists and contains `manifest.xml / index.html / server.js`.
4. After enabling under Workspace → Workflow Integrations, a small panel should pop up showing "Polling localhost:50420…". If you don't see it, check Resolve's `console.log` (Help → Logs).
</details>
## Development
```bash
pip install -e ".[dev]"
pytest # unit only
pytest -m integration # requires Resolve running
```
## License
MIT
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