How to Generate Video with Cursor: The Complete 2026 Guide

Cursor can't generate video natively. Here's how to add video generation to Cursor's agent mode — via DIY API, MCP servers, or one CLI. Works for Veo 3.1, Seedance 2.0, Kling 3.0, and Sora 2 Pro.

by AnyCap

You're building a landing page in Cursor. The agent writes the HTML, styles the components, nails the layout. Then you say: "Now generate a product demo video for the hero section."

Cursor stops. It can reason about your codebase, refactor across files, and autocomplete your intentions. But video generation isn't part of its native toolkit — and neither is it for Claude Code, Codex, or any other coding agent.

Here's how to give Cursor video generation. Three methods, from manual API wiring to one CLI command that works across your entire agent stack.


Why Cursor Can't Generate Video Natively

Cursor is built for code. Its agent mode operates on your repository — reading files, writing edits, running terminal commands. That's the right scope for a coding agent. Video generation belongs in a separate capability layer.

The problem isn't that Cursor is missing video. The problem is that wiring video into Cursor usually means configuring separate APIs per model, per provider — Google's Veo, ByteDance's Seedance, Kuaishou's Kling, OpenAI's Sora. Each needs its own key, its own endpoint, its own output handling.

What should be one command becomes a multi-hour integration project.


What Cursor + Video Generation Unlocks

Before the how, here's what the combination makes possible:

  • Product demos without leaving your IDE. Your Cursor agent builds the page, generates the keyframe, and renders the video — all in the same session. You describe the product. It ships a clip.

  • Storyboard-to-motion from screenshots. Have design frames or reference stills? Your agent animates them into draft videos for review — right in the workflow you're already in.

  • Social content batching. One prompt template, multiple variants. Your agent handles the loop. You pick the winners.

  • Rapid motion prototyping. Explore how a concept moves before committing production budget. Ten seconds of video tells you more than a paragraph of description.


Method 1: Wire Video APIs into Cursor (The Manual Way)

Cursor lets you run terminal commands inside its agent sessions. You can use that to call video APIs directly — but you need to set up each one first.

Step 1: Pick a video model. Veo 3.1 for polished product demos. Kling 3.0 for cinematic motion. Sora 2 Pro for realistic scenes. Seedance 2.0 for production batches.

Step 2: Get credentials. Sign up at each provider's developer console. Generate API keys. Store them securely.

Step 3: Write the integration. Create a script or MCP server config that Cursor can call. Teach it the endpoint URLs, auth headers, request formats, and how to handle async video generation (submit → poll → download).

Step 4: Handle per-model differences. Veo returns video one way. Kling returns it another. Sora has different polling behavior. Your integration handles all of them — or you limit yourself to one model.

Step 5: Repeat for image-to-video. If your workflow starts from a still image, you need a separate endpoint configuration — or a different provider entirely.

This works. But "works" here means you're maintaining five integration points instead of generating video. The maintenance burden scales with every model you add.


Method 2: Use an MCP Server for Video

MCP servers package a specific capability into a reusable integration that Cursor's agent mode can invoke. For video, options include:

  • HeyGen MCP — talking-head videos and avatar content
  • HyperFrames MCP — animated output and motion graphics
  • Firecrawl Video — programmatic screen recording

An MCP server handles auth and endpoint management internally. Configure it once, and Cursor's agent calls it like any other tool. The setup is lighter than manual API wiring, but you're still managing one server per capability — and you still need separate integrations for the image generation step that usually comes before video.


Method 3: One CLI for All Video Models — Across Cursor, Claude Code, and Codex

This is the approach where your agent doesn't know about individual video models. It knows one command:

anycap video generate --prompt "a drone shot over a mountain range at golden hour" --model veo-3.1 -o hero.mp4

One install. One auth flow. All video models behind one CLI. Cursor's agent mode can call it directly — and when you switch to Claude Code or Codex for a different project, the same command works there too.

What the runtime handles:

  • All models through one command. --model veo-3.1, --model seedance-2.0, --model kling-3.0, --model sora-2-pro — same CLI, different flag.
  • Authentication once. One key. The runtime manages provider credentials internally.
  • Image-to-video built in. Add --mode image-to-video and the same command accepts stills as input.
  • Consistent output. Your agent gets back a file path. No parsing async job endpoints per provider.

Install for Cursor:

npm i -g anycap
anycap login
anycap skill install --target ~/.cursor/skills/anycap-cli/

After install, Cursor's agent mode recognizes anycap video generate as an available tool. The same install also works for Claude Code (~/.claude/skills/) and Codex.

Install AnyCap free — 250 credits for new users


Why This Setup Excels in Cursor's IDE Workflow

Cursor's agent mode has a unique advantage over terminal-only agents: it lives inside your IDE and understands your project structure. Here's why that matters for video generation:

1. Project context awareness. Cursor's agent already knows your file tree, your asset directories, your component structure. When it generates a video with anycap video generate -o hero-animated.mp4, it knows exactly where to place the file and how to embed it in your <video> tag — without you specifying paths.

2. Multi-file editing in the same session. Cursor can edit your HTML, CSS, and JS simultaneously. When the agent generates a hero video, it can immediately update the hero component to reference the new video, adjust the layout for the video aspect ratio, and add a poster image — all in one agent action. Terminal-only agents typically handle one file at a time.

3. Visual feedback loop. Cursor's IDE shows you changes as they happen. You see the video file appear in your project tree. You see the component update in the diff view. The entire pipeline — generate → embed → review — happens in the same window. No switching between terminal, file browser, and browser.


Text-to-Video in Cursor: Generate from a Prompt

anycap video generate \
  --prompt "a product unboxing on a clean white table, soft studio lighting, 1080p" \
  --model veo-3.1 \
  -o unboxing.mp4

Real-world Cursor workflow: You're shipping a feature. Your Cursor agent writes the changelog, builds the announcement page, generates a teaser clip, embeds it in the hero component, and updates the layout — all in one agent action. No tool switching, no context loss, no leaving your IDE.

Quick model picker for Cursor users:

Your Cursor task Best model Why it fits Cursor's IDE workflow
Generate + embed a product demo in your page Veo 3.1 One-shot quality — Cursor embeds immediately, no re-renders
Batch-generate social clips for a launch Seedance 2.0 Consistent output — Cursor loops through variants and places them in your assets folder
Explore creative motion for a new landing page Kling 3.0 Best camera control — Cursor shows you the result in the IDE, iterate visually
Generate a realistic product walkthrough Sora 2 Pro Most lifelike output — embed in docs alongside the code
Quick iteration during frontend development Veo 3.1 Fast Speed over polish — Cursor iterates fast, video should match

Image-to-Video in Cursor: Animate Your Stills

The workflow Cursor handles especially well: your agent generates a still image first, then animates it — all in your project directory.

# Step 1: Generate the still in Cursor's terminal
anycap image generate \
  --prompt "a clean SaaS dashboard on a laptop, floating UI elements, modern office lighting" \
  --model seedream-5 \
  -o ./public/assets/hero-frame.jpg

# Step 2: Cursor's agent updates the hero component to reference hero-frame.jpg

# Step 3: Animate it
anycap video generate \
  --prompt "slow push-in toward the screen, UI elements fade in sequentially" \
  --model veo-3.1 \
  --mode image-to-video \
  --param images=./public/assets/hero-frame.jpg \
  -o ./public/assets/hero-animated.mp4

# Step 4: Cursor's agent edits the component — replaces <img> with <video>

Why this pairs well with Cursor: Cursor's agent mode already understands your project context — file paths, assets, the page you're building. When it generates a hero image, it places it in your public/assets/ directory. When it animates it, it embeds the <video> tag in the right component, adds a poster attribute pointing to the still, and adjusts the layout for the video aspect ratio. The full pipeline — generate, place, embed, style — stays in one agent action inside your IDE.


The Full Cursor Workflow: Text → Image → Video → Embed

# 1. Research reference styles
anycap search --prompt "SaaS product demo styles 2026" --citations

# 2. Generate keyframe → placed in project assets
anycap image generate --prompt "modern dashboard, floating UI, clean light" --model seedream-5 -o ./public/assets/keyframe.jpg

# 3. [Cursor agent action] Update hero component with keyframe, adjust layout

# 4. Animate → placed in project assets
anycap video generate --prompt "slow zoom-in, elements fade sequentially" --model veo-3.1 --mode image-to-video --param images=./public/assets/keyframe.jpg -o ./public/assets/demo.mp4

# 5. [Cursor agent action] Replace <img> with <video>, add poster, adjust CSS

# 6. Store for sharing
anycap drive upload ./public/assets/demo.mp4

Your Cursor agent researched styles, generated the still, placed it in your project, animated it, embedded it in the right component, and stored a shareable copy. You stayed in your IDE the entire time.


Cursor vs Claude Code vs Codex: Same Command, Different Agent

The CLI is the same across all three. What changes is where the skill file lives — and how each agent leverages its unique workflow:

Agent Skill directory Unique advantage for video
Cursor ~/.cursor/skills/ In-IDE embedding: generate, place, embed, and style video in one agent action
Claude Code ~/.claude/skills/ Subagent parallelism: spawn multiple subagents to compare video models simultaneously
Codex ~/.codex/skills/ CLI-native: seamless shell command integration, OpenAI ecosystem alignment

Same anycap video generate command. Same models. Different agent — same capability, different superpower.


FAQ

Does Cursor's agent mode support video generation natively?

No. Cursor's agent mode handles code — file reads, edits, terminal commands, shell execution. Video generation requires external models. AnyCap gives Cursor access to Veo 3.1, Seedance 2.0, Kling 3.0, and Sora 2 Pro through one CLI.

Can I use the same AnyCap install across Cursor and Claude Code?

Yes. Install AnyCap once globally (npm i -g anycap). Run anycap skill install with the appropriate --target directory for each agent.

Do I need separate API keys for different video models?

Not with AnyCap. One account, one key. The runtime manages provider credentials internally across Veo, Seedance, Kling, and Sora.

How does Cursor embed the generated video in my project?

Cursor's agent mode knows your file tree. When it generates hero-animated.mp4 in your project directory, it can immediately update your component to reference the video. No manual file placement, no copy-pasting paths.

Can I preview the generated video inside Cursor?

Yes — Cursor's IDE can preview video files directly. Generate, click the file in your project tree, review the result. No switching to a browser.


The Bottom Line

Cursor is the best agent for code inside your IDE. It just can't make video. That's not a bug — it's the right separation of concerns. Video generation belongs in a dedicated capability layer.

The question is how much friction you want between Cursor and that layer. One API key per model, or one CLI command that embeds video directly into your project.


Give Cursor video generation — one install, all models




Written by the AnyCap team. We build the capability layer that gives Cursor, Claude Code, and Codex video generation through one CLI — so your agent doesn't stop at "I can't do that."