MCP server de doc2video

d2v — doc2video CLI and MCP server

Point d2v at a folder of documents and photos and it makes a narrated, AI-produced video on doc2video.io. Drive it yourself, or let Claude or ChatGPT (Codex) drive it for you — either through the CLI or as an MCP server.

d2v create "Spring Open House" ./open-house --duration 1m --aspect 9:16 \
  --direction "Warm and inviting, finish on the garden" --build --wait

Install

Requires Node.js 18.18+.

npm install -g doc2video     # installs the `d2v` (and `doc2video`) command

Or run it without installing: npx doc2video <command>.

Log in

d2v login

Your browser opens doc2video. Sign in (or sign up), check the code matches your terminal, click Approve — done. The key is saved to ~/.doc2video/config.json and shows up on the dashboard's API page, where you can revoke it. No browser on this machine? d2v login --no-browser prints the link to open anywhere.

Agents use two steps so they can show you the link: d2v login --start --json (returns the link and code), then d2v login --wait after you approve. Over MCP, the d2v_connect_account tool does the same.

You can also paste a key created on the API page (d2v login --key d2v_…) or set DOC2VIDEO_API_KEY. To target another server (e.g. local dev) use --url http://localhost:3000 or DOC2VIDEO_URL.

What goes in the folder

Kind	Formats	How it's used
Documents	PDF, DOCX, PPTX, Markdown, TXT, CSV, JSON	The story: the script is written from them
Photos	JPG, PNG, WebP, HEIC (iPhone)	Shown to the scriptwriter and featured in scenes

Folders are scanned recursively (hidden files skipped). Legacy .doc/.ppt/Keynote/Pages files are skipped with a hint to convert them. A photos-only folder works too — the story is built from the photos and your creative direction. With no files at all, use --draft "description".

Photos are used as-is by default — cropped to the video's shape, and free as still or Ken Burns scenes (you only pay for AI work, e.g. an AI video clip made from the photo). Use --photos restyle to have AI polish them into cinematic keyframes while keeping the real subject, or set it per scene with d2v scene <p> <n> --photo-treatment restyle.

Workflow

d2v create "Name" ./folder [settings] --build --wait   # storyboard: script → keyframes → narration → preview
d2v show <project>                                     # scenes, narration, preview URL, next steps
d2v pull <project>                                     # keyframes + storyboard.md to a local folder

# steer, scene by scene
d2v keyframe  <p> 3 "warmer light, show the sign"      # edit the image
d2v keyframe  <p> 3 --fresh                            # brand-new image
d2v narration <p> 3 --prompt "shorter and punchier"    # AI rewrite + new voice-over
d2v narration <p> 3 --text "Exact words."              # exact text + new voice-over
d2v scene     <p> 3 --engine veo3                      # still | kenburns | runway | veo3
d2v scene     <p> 3 --photo IMG_2041.jpg               # feature a photo (or --photo none)
d2v run       <p> preview --wait                       # refresh the preview video

# finish (costs money — you pay in the browser)
d2v estimate <p>
d2v buy <p> --open          # or: d2v buy <p> --credits, or: d2v redeem <p> CODE
d2v produce <p> --wait      # AI clips → final assembly
d2v download <p>

Free storyboards and credits

Each day you get 2 free storyboards and 20 scene redos on unpaid projects. After that, a storyboard costs $0.50 from prepaid credits — pass --use-credits to create --build, build or run to confirm (without it the command stops and tells you the price). Credits also unlock finished videos: d2v buy <p> --credits.

d2v credits                 # balance, free storyboards left today, recent activity
d2v credits add 10 --open   # top up $5, $10 or $25 in the browser

Projects can be named by id, 8-character id prefix, or exact name. d2v help <command> shows every option; d2v guide prints the full workflow guide.

Settings (on create and set): --duration auto|30s|1m|2m|5m|10m, --aspect 9:16|16:9, --direction, --voice (see d2v voices), --stability, --photos original|restyle, --consistency/--no-consistency, --client, --email, --phone, --website.

Long-running steps

Everything runs on doc2video's servers; a storyboard takes several minutes and final production longer. --wait blocks with progress on stderr, and Ctrl+C only stops the waiting — the work continues. Pick it back up with d2v wait <project>. Steps can be chained on the server, so a build keeps going even if your terminal closes.

Scripting and agents

Add --json to any command for machine-readable output on stdout (progress stays on stderr). Exit codes: 0 ok, 1 error, 2 usage error, 3 payment required, 4 --wait timed out, 5 rate limit or daily free limit reached.

Use it from Claude or ChatGPT

Hosted MCP server (nothing to install)

doc2video also runs the MCP server for you at https://doc2video.io/mcp. Add it as a custom connector and sign in with your doc2video account when asked (OAuth — no keys to copy):

• Claude (claude.ai, Desktop, mobile): Settings → Connectors → Add custom connector, URL https://doc2video.io/mcp.
• Claude Code: claude mcp add --transport http doc2video https://doc2video.io/mcp, then run /mcp to sign in.
• ChatGPT: add a connector with the server URL https://doc2video.io/mcp (developer mode) and OAuth sign-in.
• Cursor, VS Code and other clients: a remote server entry such as { "doc2video": { "url": "https://doc2video.io/mcp" } } (VS Code: "type": "http").

The hosted server has the same tools, but it can't see your computer's files: give it text, public links (PDFs, Word and PowerPoint files, photos, web pages), or add files on the project page it links to. To work from local folders, use the CLI or d2v mcp below. Connected apps are listed, and can be disconnected, on your dashboard's API page.

Claude Code / Codex CLI (shell)

Both can simply run d2v. Open a terminal agent in the folder with your files and ask, e.g. "Make a 60-second vertical video from this folder with doc2video, show me the storyboard, and punch up the opening." For better results, install the agent instructions:

• Claude Code: copy agents/SKILL.md to ~/.claude/skills/doc2video-cli/SKILL.md
• Codex CLI: append agents/AGENTS.md to ~/.codex/AGENTS.md (or the folder's AGENTS.md)

Both files ship with the package — find them under $(npm root -g)/doc2video/agents/.

MCP (Claude Desktop, Claude Code, Codex, any MCP client)

d2v mcp runs an MCP server over stdio with tools for the whole workflow — including d2v_view_storyboard, which returns the keyframe images so the model can actually see the storyboard and give visual feedback. It's listed in the official MCP Registry as io.github.doc2video/d2v.

The API key below is optional: without one, the d2v_connect_account tool gives you a link to sign in (or sign up) in your browser, and remembers the key.

Cursor / VS Code — use the buttons at the top of this page.

Claude Code

claude mcp add doc2video -- npx -y doc2video mcp
# or with a key from doc2video.io/dashboard/api-keys:
claude mcp add doc2video -e DOC2VIDEO_API_KEY=d2v_xxx -- npx -y doc2video mcp

Claude Desktop — claude_desktop_config.json:

{
  "mcpServers": {
    "doc2video": {
      "command": "npx",
      "args": ["-y", "doc2video", "mcp"],
      "env": { "DOC2VIDEO_API_KEY": "d2v_xxx" }
    }
  }
}

Codex CLI — ~/.codex/config.toml:

[mcp_servers.doc2video]
command = "npx"
args = ["-y", "doc2video", "mcp"]
env = { DOC2VIDEO_API_KEY = "d2v_xxx" }

With a global install you can use "command": "d2v", "args": ["mcp"] instead of npx.

ChatGPT (web/desktop): ChatGPT connects only to remote MCP servers, so use the hosted server above. Use Codex CLI for local folders.

REST API

The CLI is a thin client over the doc2video REST API — see API.md to call it directly.

Development

npm install
npm run build      # compile to dist/
npm test           # build + end-to-end tests against a mock API (no network)
npm link           # use your local build as `d2v`

Releases are published from GitHub Actions when a v* tag is pushed: to npm (with provenance) and to the MCP Registry. Issues and pull requests are welcome at github.com/doc2video/cli.

License

The CLI and MCP server are MIT licensed. They're a client for the hosted doc2video service at doc2video.io, which has its own terms.