You're building with Codex CLI. You describe a feature, it plans the implementation, writes the code, runs the tests. Then you say: "Now generate a product walkthrough video."
Codex stops. It can plan, implement, and ship code — but video generation isn't in its native toolkit. Same limitation as Claude Code, Cursor, and every other coding agent.
Here's how to add video generation to Codex. Three approaches, from manual to one-command.
Why Codex Doesn't Ship With Video Generation
Codex is OpenAI's agentic coding tool — it plans features, writes code across your repo, runs terminal commands, and handles the development loop end-to-end. That scope is deliberately narrow. Video generation needs separate models (Veo, Seedance, Kling, Sora) that update on different cycles and require different infrastructure.
The gap isn't a Codex limitation. It's a design choice — keep the agent focused on code, and let the ecosystem provide media capabilities. The question is how cleanly that capability plugs in.
What Codex + Video Generation Unlocks
Product demos as part of the build pipeline. Your Codex agent codes the feature, builds the changelog page, then generates a demo clip — all in one session.
Image-to-video from generated assets. Codex builds the page. AnyCap generates the still. Codex feeds that still to the video model. The entire pipeline stays in the terminal.
Batch social content. One prompt template, multiple variants, all generated by your agent while you move to the next task.
Motion prototyping. Explore visual concepts in motion without leaving the workflow.
Method 1: Wire Video APIs into Codex (Manual)
Codex can execute shell commands. You can configure it to call video APIs directly — but each model requires its own setup.
Step 1: Pick providers. Veo 3.1 (Google), Seedance 2.0 (ByteDance), Kling 3.0 (Kuaishou), Sora 2 Pro (OpenAI). Each needs its own account.
Step 2: Get API keys. Separate developer consoles. Separate credentials. Separate billing.
Step 3: Write integration scripts. Codex calls your scripts. Your scripts handle auth, request formatting, async polling, and file downloads. One script per model or one complex script handling all four.
Step 4: Handle image-to-video separately. If your pipeline starts from stills, you need a different endpoint — or a different model provider.
This works. But you're maintaining integration code instead of generating video.
Method 2: MCP Server for Video
MCP servers let Codex invoke external capabilities through a standard protocol. Options:
- HeyGen MCP — avatar and talking-head video
- HyperFrames MCP — animated motion graphics
- Firecrawl Video — screen recording automation
Configure once per server. Codex calls them like any tool. Lighter than direct API wiring, but you're still managing separate servers — and video-only servers don't cover the image generation step.
Method 3: One CLI Across Codex, Claude Code, and Cursor
This is the approach where your agent calls one command regardless of which video model you want:
anycap video generate --prompt "a product demo of a SaaS dashboard" --model veo-3.1 -o demo.mp4
Change --model veo-3.1 to --model sora-2-pro, --model kling-3.0, or --model seedance-2.0 — same command, different model. Codex, Claude Code, and Cursor all call the same CLI.
What the runtime handles so your Codex agent doesn't have to:
- Multi-model routing. One command surface reaches Veo 3.1, Seedance 2.0, Kling 3.0, and Sora 2 Pro.
- Authentication. One API key. The runtime manages provider credentials internally.
- Async video generation. Submit, poll, download — all handled. Your agent gets a file path back.
- Image-to-video built in. Same command with
--mode image-to-video.
Install for Codex:
npm i -g anycap
anycap login
anycap skill install --target ~/.codex/skills/anycap-cli/
After install, Codex recognizes anycap video generate as an available command. The same install also works for Claude Code and Cursor.
→ Install AnyCap free — 250 credits for new users
Text-to-Video in Codex: Generate from a Prompt
anycap video generate \
--prompt "a smooth product walkthrough of a project management dashboard, clean UI, soft lighting" \
--model veo-3.1 \
-o walkthrough.mp4
Real Codex workflow: You're shipping a feature. Codex implemented it, wrote the tests, built the changelog page. Now it generates a demo clip — same terminal, same session.
Model picker for Codex users:
| Clip type | Model | Why for Codex workflows |
|---|---|---|
| Product demo, announcement | Veo 3.1 | Polished first pass, minimal re-rolls |
| Brand content, batches | Seedance 2.0 | Consistent output across generations |
| Cinematic, creative | Kling 3.0 | Most expressive camera control |
| Realistic, narrative | Sora 2 Pro | Native OpenAI ecosystem fit |
| Quick preview | Veo 3.1 Fast | Speed for iteration |
Image-to-Video in Codex: Stills to Motion
Codex builds the page. AnyCap generates the still. Codex animates it.
# Step 1: Generate the keyframe
anycap image generate \
--prompt "a product hero shot of a code editor interface, dark theme, neon accents, product photography" \
--model seedream-5 \
-o codex-hero.jpg
# Step 2: Animate the still
anycap video generate \
--prompt "gentle push-in, code lines highlight sequentially, subtle parallax on the editor background" \
--model veo-3.1 \
--mode image-to-video \
--param images=./codex-hero.jpg \
-o codex-demo.mp4
# Step 3: Store it
anycap drive upload codex-demo.mp4
Why this works with Codex: Codex already runs terminal commands as part of its workflow. anycap image generate and anycap video generate are just commands. Codex knows where files live in your repo. It can embed the generated video in the page it just built.
The Full Codex Pipeline
# 1. Research
anycap search --prompt "developer tool product demo styles 2026" --citations
# 2. Generate still
anycap image generate --prompt "code editor interface, dark theme, floating UI, product shot" --model seedream-5 -o keyframe.jpg
# 3. Animate
anycap video generate --prompt "slow camera push-in, UI highlights sequentially" --model veo-3.1 --mode image-to-video --param images=./keyframe.jpg -o demo.mp4
# 4. Store
anycap drive upload demo.mp4
Codex researched, generated, animated, and stored — all in one session. You described the outcome. Codex handled the pipeline.
Cross-Agent: Same Command, Different Agents
AnyCap's CLI is agent-agnostic. What changes is where the skill file goes:
| Agent | Skill directory | Install |
|---|---|---|
| Codex | ~/.codex/skills/ |
anycap skill install --target ~/.codex/skills/anycap-cli/ |
| Claude Code | ~/.claude/skills/ |
anycap skill install --target ~/.claude/skills/anycap-cli/ |
| Cursor | ~/.cursor/skills/ |
anycap skill install --target ~/.cursor/skills/anycap-cli/ |
Same anycap video generate command across all three. Same models. Same auth. Switch agents without reconfiguring capabilities.
FAQ
Does Codex support video generation natively?
No. Codex is an agentic coding tool from OpenAI — it plans, implements, and ships code. Video generation requires external models. AnyCap bundles Veo 3.1, Seedance 2.0, Kling 3.0, and Sora 2 Pro behind one CLI.
Can I use the same AnyCap install across Codex and Claude Code?
Yes. Install AnyCap once globally. Run anycap skill install with each agent's target directory. Same CLI, same auth, same models.
Do I need separate API keys for different video models?
Not with AnyCap. One key. The runtime manages provider credentials for Veo, Seedance, Kling, and Sora internally.
How does image-to-video work in Codex?
Same as text-to-video. Add --mode image-to-video --param images=./your-still.jpg. Codex already runs terminal commands — this is just another command in the workflow.
Does Sora 2 Pro work better with Codex since both are from OpenAI?
Sora 2 Pro is available through AnyCap alongside the other models. If you prefer staying in the OpenAI ecosystem end-to-end, use Sora 2 Pro (and GPT Image 2 for stills). The CLI command is the same regardless.
The Bottom Line
Codex plans features, writes code, runs tests, and ships. It can't make video — and that's by design. Video generation belongs in a separate capability layer.
The question is how you connect the two. Five API keys and five integration scripts, or one CLI command.
→ Give Codex video generation — one install, all models
📖 What to Read Next
- How to Generate Video with Claude Code: The Complete 2026 Guide — The Claude Code-specific variant.
- How to Generate Video with Cursor: The Complete 2026 Guide — The Cursor-specific variant.
- AI Image-to-Video: The Complete Pipeline for Coding Agents — Model pairing matrix and full pipeline deep-dive.
- Best AI Video Models for Coding Agents Compared — Veo 3.1 vs Seedance vs Kling vs Sora.
Related Articles
- How to Generate Images with Claude Code (2026): 3 Methods — Image generation for coding agents.
- What Is a Capability Runtime? — The infrastructure that bundles video, image, search, and storage into one CLI.
Written by the AnyCap team. We build the capability runtime that gives Codex, Claude Code, and Cursor video generation through one CLI — so your agent doesn't stop at "I can't do that."