Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Turn documents and photos into narrated AI videos from Claude, ChatGPT, Codex or any MCP client.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
DOC2VIDEO_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://doc2video.io/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"d2v": {
"command": "npx",
"args": [
"-y",
"doc2video",
"mcp"
],
"env": {
"DOC2VIDEO_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http d2v https://doc2video.io/mcpclaude mcp add d2v --env DOC2VIDEO_API_KEY=your-value -- npx -y doc2video mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"d2v": {
"url": "https://doc2video.io/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"d2v": {
"command": "npx",
"args": [
"-y",
"doc2video",
"mcp"
],
"env": {
"DOC2VIDEO_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"d2v": {
"type": "http",
"url": "https://doc2video.io/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"d2v": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"doc2video",
"mcp"
],
"env": {
"DOC2VIDEO_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://doc2video.io/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account doc2video, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: DOC2VIDEO_API_KEY
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.2.3) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
Requires Node.js 18.18+.
npm install -g doc2video # installs the `d2v` (and `doc2video`) command
Or run it without installing: npx doc2video .
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.
| 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 --photo-treatment restyle.
d2v create "Name" ./folder [settings] --build --wait # storyboard: script → keyframes → narration → preview
d2v show # scenes, narration, preview URL, next steps d2v pull # keyframes + storyboard.md to a local folder
d2v keyframe 3 "warmer light, show the sign" # edit the image d2v keyframe 3 --fresh # brand-new image d2v narration 3 --prompt "shorter and punchier" # AI rewrite + new voice-over d2v narration 3 --text "Exact words." # exact text + new voice-over d2v scene 3 --engine veo3 # still | kenburns | runway | veo3 d2v scene 3 --photo IMG_2041.jpg # feature a photo (or --photo none) d2v run preview --wait # refresh the preview video
d2v estimate d2v buy --open # or: d2v buy --credits, or: d2v redeem CODE d2v produce --wait # AI clips → final assembly d2v download
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 --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 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.
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 . Steps can be chained on the server, so a build keeps going even if your terminal closes.
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.
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):
https://doc2video.io/mcp.claude mcp add --transport http doc2video https://doc2video.io/mcp, then run /mcp to sign in.https://doc2video.io/mcp (developer mode) and OAuth sign-in.{ "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.
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:
agents/SKILL.md to ~/.claude/skills/doc2video-cli/SKILL.mdagents/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/.
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
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.
The CLI is a thin client over the doc2video REST API — see API.md to call it directly.
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.
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.