How to Generate Video with Claude Code: The Complete 2026 Guide

You ask Claude Code to build a landing page. It writes the HTML, styles it, adds interactivity. Then you say: "Now make a product demo video for the hero section."

It stops. Claude Code can't generate video on its own.

This isn't a Claude limitation — it's true for Cursor, Codex, Windsurf, and every coding agent. Video generation lives behind separate APIs with different authentication, different rate limits, and different output formats. Wiring them up manually means configuring four services before your agent generates a single frame.

Here's how to fix that. Three approaches, from most manual to one-command.

Also using Cursor or Codex? This guide focuses on Claude Code, but the methods and CLI commands work identically across agents. See the Cursor video generation guide or Codex video generation guide for agent-specific install paths.

Why Claude Code Can't Generate Video (And Why That's Normal)

Coding agents reason about code. They don't ship with media generation baked in — and for good reason. Image and video models are massive, expensive to host, and update on different release cycles than LLMs. Anthropic, OpenAI, and Cursor all made the same call: build the best reasoning agent, and let the ecosystem handle media.

That's fine when you're writing a PR. It's a problem when your agent is building something visual — a product page that needs a demo clip, a changelog that needs an animated walkthrough, a pitch deck that needs motion.

The capability exists. It just needs a bridge to your agent.

What Claude Code + Video Generation Actually Unlocks

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

• Product demos. Your agent writes the script, generates the visuals, and renders the clip — all in one session. You describe the product. It ships a video.

• Storyboard-to-motion. You have screenshots, design frames, or reference stills. Your agent animates them into a draft video for review.

• Social content at scale. One prompt → one short-form clip. Repeat for variants. Your agent handles the batch, not you.

• Rapid prototyping. Explore a visual concept in motion before committing to a full production pass. Ten seconds of video tells you more than ten paragraphs of description.

Method 1: Wire a Video API Manually (The Hard Way)

The most direct approach: pick a video model provider, sign up, get an API key, and configure Claude Code to call it. Here's what that looks like in practice:

Step 1: Choose a provider. Google's Veo 3.1 for polished output. OpenAI's Sora 2 Pro for narrative work. Kling 3.0 for cinematic motion. Each requires a separate account.

Step 2: Get the API key. Navigate to the provider's developer console. Create a project. Generate credentials. Copy the key.

Step 3: Configure Claude Code. Write an MCP server config or skill file that teaches Claude Code how to call the video endpoint. Specify the endpoint URL, the authentication method, the request format, and the expected response shape.

Step 4: Handle the output. Video generation is asynchronous. Your agent submits a request, polls for completion, then downloads the file. Each step is a potential failure point.

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

This works. Teams ship video this way. But five steps per provider, per capability. Two providers means ten integrations. Three means fifteen. The maintenance burden scales linearly with ambition.

Method 2: Use an MCP Server for Video (The Middle Way)

MCP servers bundle a specific capability into a reusable integration. For video, options include:

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

An MCP server handles authentication and endpoint management internally. You configure it once, and Claude Code calls it like any other tool. The setup is lighter than wiring APIs directly, but you're still managing one MCP server per capability — and video-only servers don't cover the image generation step that often precedes video work.

Method 3: One CLI, All the Video Models (The AnyCap Way)

This is the approach where your agent doesn't know about Veo, Kling, or Seedance individually. It knows one command:

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

That's it. One install, one auth flow, one command surface. Under the hood, AnyCap routes the request to the right video model — Veo 3.1, Seedance 2.0, Kling 3.0, Sora 2 Pro, or whichever model fits the prompt.

What the runtime handles so your agent doesn't have to:

• Model selection. Your agent can specify a model explicitly, or let the runtime choose based on the prompt. "Cinematic product video" routes differently than "quick social clip."

• Authentication. One API key. Not one per provider. The runtime manages credentials internally.

• Output format. Your agent gets back a file path or a URL. No parsing multipart responses or polling async job endpoints.

• Image-to-video built in. Add --mode image-to-video --param images=./frame.jpg and the same command accepts a still image as input. No separate endpoint, no separate configuration.

• Cross-agent. The same CLI command works in Claude Code, Cursor, and Codex. Switch agents without reconfiguring your video pipeline. See our Cursor guide and Codex guide for agent-specific install paths.

How to install for Claude Code:

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

After that, your Claude Code session recognizes anycap video generate as an available tool. No MCP server config. No per-provider API keys. Just one command.

→ Install AnyCap free — 250 credits for new users

Text-to-Video: Generate a Clip from a Prompt

The simplest workflow. Your agent has a description. You want a video.

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

Real-world example: You're shipping a new feature. Your agent writes the changelog, builds the announcement page, then generates a 10-second teaser clip for the hero section. One session, no tool switching.

Which model for which prompt:

Image-to-Video: Turn Stills into Motion

This is where the agent workflow gets genuinely useful. Your agent generates an image — a product screenshot, a design mockup, a reference frame — and then animates it.

# Step 1: Generate the still image
anycap image generate \
  --prompt "a clean product hero shot of a dashboard on a desk setup" \
  --model seedream-5 \
  -o hero-frame.jpg

# Step 2: Animate it into video
anycap video generate \
  --prompt "subtle camera push-in with soft parallax on the screen reflection" \
  --model seedance-1.5-pro \
  --mode image-to-video \
  --param images=./hero-frame.jpg \
  -o hero-animated.mp4

Real-world example: Your agent builds a SaaS landing page. It generates the hero image with Seedream 5, then runs image-to-video with Seedance 1.5 Pro to add a subtle camera move. The hero section goes from static to living — without you opening After Effects or even leaving the terminal.

Model pairing guide for image-to-video:

The Full Pipeline: Text → Image → Video, All in One Session

Here's a complete workflow your agent can run in a single Claude Code session:

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

# 2. Generate the keyframe
anycap image generate \
  --prompt "a modern SaaS dashboard on a laptop, floating UI elements, clean lighting" \
  --model seedream-5 \
  -o keyframe.jpg

# 3. Generate variants for A/B testing
anycap image generate \
  --prompt "same dashboard, dark mode variant with neon accents" \
  --model nano-banana-2 \
  -o keyframe-dark.jpg

# 4. Animate the chosen variant
anycap video generate \
  --prompt "slow zoom-in with UI elements fading in sequentially" \
  --model veo-3.1 \
  --mode image-to-video \
  --param images=./keyframe.jpg \
  -o demo-video.mp4

# 5. Store the result
anycap drive upload demo-video.mp4

Your agent researched the style, generated the still, iterated on variants, animated the winner, and stored the result. You wrote the initial prompt. Everything else happened in the agent loop.

Cross-Agent: Same CLI, Different Agent

The video generation commands in this guide work identically across Claude Code, Cursor, and Codex. The only thing that changes is where the skill file gets installed:

Which Video Model Should You Use? A Decision Framework

The answer depends on what you're building. Here's how to think about it:

Use Veo 3.1 when:

• You need the strongest first-pass quality from a text prompt
• The output is customer-facing (demo, teaser, announcement)
• You're willing to spend more per generation for higher fidelity

Use Seedance 1.5 Pro when:

• You're running image-to-video from existing stills
• You need consistent, repeatable output for production
• You want a stable default that doesn't require per-prompt model selection

Use Kling 3.0 when:

• Cinematic motion matters more than raw fidelity
• You want controllable camera dynamics (pan, zoom, track)
• The project is creative or exploratory rather than templated

Use Sora 2 Pro when:

• Your team prefers the OpenAI video model family
• You need high-end narrative or realistic scene generation
• You want maximum capability from a single video model

Use Fast variants (Veo 3.1 Fast, Seedance 2.0 Fast) when:

• You're previewing and ideating, not shipping final output
• You need quick turnaround for batch generation
• Speed matters more than polish

FAQ

Can Claude Code natively generate video?

No — and neither can Cursor, Codex, or Windsurf. These are reasoning and coding agents. Video generation requires external models. AnyCap bundles those models behind one CLI so your agent doesn't need separate integrations.

What's the difference between text-to-video and image-to-video?

Text-to-video generates a clip from a text prompt alone. Image-to-video starts from a still image (a screenshot, a design frame, a photo) and animates it. Most production workflows use both: generate a still first, animate it second.

How long does video generation take?

Depends on the model and complexity. Fast variants return in seconds to a minute. Full-quality models like Veo 3.1 and Sora 2 Pro can take 1-3 minutes. The runtime handles polling and returns the file when ready.

Do I need separate API keys for each video model?

Not with AnyCap. One account, one key, all models. The runtime manages provider credentials internally.

Can I batch-generate video variants?

Yes. Your agent can loop the anycap video generate command with different prompts, different models, or different source images. The runtime handles each request independently.

Does this work if I also use Cursor or Codex?

Yes. The same anycap video generate command works across all three agents. See the cross-agent table above for install paths per agent.

The Bottom Line

Claude Code can write the script, build the page, and style the layout. It just can't make the video. That's not a flaw — it's a design choice. Video generation belongs in a separate layer.

The question is how much friction you want between your agent and that layer. Five API keys and five configurations, or one CLI command.

→ Give Claude Code video generation — one install, one auth, all models

📖 What to Read Next

• How to Generate Video with Cursor: The Complete 2026 Guide — The Cursor-specific variant of this guide, with Cursor install paths and agent-mode workflow.
• How to Generate Video with Codex: The Complete 2026 Guide — The Codex-specific variant with Codex CLI install paths.
• How to Generate Images with Claude Code (2026): 3 Methods — The companion guide for image generation, including MCP, DIY API, and AnyCap approaches.
• AI Image-to-Video: The Complete Pipeline for Coding Agents — Deep dive into chaining image generation and video generation in one agent workflow.
• What Is a Capability Runtime? — The infrastructure layer that gives agents the tools to actually execute.

Related Articles

• Best AI Video Models for Coding Agents Compared — Veo 3.1 vs Seedance 2.0 vs Kling 3.0 vs Sora 2 Pro: which fits your workflow?
• Give Claude Code Web Search, Images & More — Without the MCP Hassle — The full capability stack for Claude Code.
• What AI Agents Can't Do in 2026 — And How to Fix It — The capability gap narrative.

Written by the AnyCap team. We build the capability layer that gives AI agents video generation, image generation, web search, cloud storage, and publishing through one CLI — so your agent doesn't stop at "I can't do that."