For Cursor · Verified September 29, 2026
Cursor AI tools include native image generation. AnyCap adds a broader, explicit toolchain.
Cursor now includes image generation in Agent mode. AnyCap is useful when the workflow needs explicit model IDs, repeatable CLI commands, video and audio capabilities, web research, output storage, or page publishing under one authentication flow.
What to type in Cursor
After setup, tell Cursor something like "generate a product mockup image" — it will call anycap image generate automatically. If you want direct command control instead, open the manual install steps below.
help me install anycap.aiCurrent-state proof · September 29, 2026
Cursor already makes images. AnyCap is the wider runtime.
We verified the current AnyCap CLI and live model catalog instead of treating an old capability gap as a permanent claim. Cursor 2.4 introduced image generation in Agent mode; the reason to add AnyCap is explicit model selection plus a consistent path into video, audio, web research, storage, and publishing.
- CLI checked
- AnyCap 0.6.3
- Image catalog
- 10 active models
- Video catalog
- 16 active models
- Cursor baseline
- Native image generation, no native video
anycap image modelsTell Cursor "help me install anycap.ai". Done.
Cursor can discover the AnyCap skill, install the CLI, authenticate, and invoke capabilities on its own. Just describe the task in natural language — Cursor runs the setup and starts delivering results in the same workspace flow. No multi-provider wiring required.
1. Install the skill
npx -y skills add anycap-ai/anycap -a cursor -yThis teaches Cursor how to discover and call the AnyCap runtime without changing the way you already work.
2. Install the CLI
curl -fsSL https://anycap.ai/install.sh | shThe CLI is a single binary with no runtime dependencies, so it runs cleanly inside Cursor's integrated terminal.
3. Log in and verify
anycap login && anycap statusAfter authentication, Cursor can move across image, video, and vision capabilities without new credentials or dashboard detours.
For a full walkthrough, see the install guide.
Built for the way Cursor already works
AnyCap installs cleanly into Cursor because it was designed for the same constraints: editor-driven workflows, integrated terminal execution, and project-based context.
Integrated terminal execution
Cursor already works through code plus terminal. The AnyCap CLI is a dependency-free binary that installs and authenticates in that same terminal session, so capabilities are available without leaving the editor flow.
Workspace-aware outputs
Cursor has direct access to your repo and surrounding files. AnyCap returns file paths and CDN URLs that Cursor can save into project directories, thread into docs, or pass to downstream scripts and build steps.
One credential, every capability
Without a runtime layer, adding image generation, video generation, and vision means separate provider credentials inside the same project workflow. AnyCap consolidates them into one login that covers the full stack.
What AnyCap adds beyond Cursor's native image generation
Cursor's native image generation is useful for editor-driven visual work. AnyCap adds explicit model selection and a reusable CLI surface for media, analysis, search, storage, and publishing workflows.
| Capability | Cursor alone | Add with AnyCap | Best next step |
|---|---|---|---|
| Image generation | Native image generation in Agent mode | Generate visuals and mockups via anycap image generate | Image Generation page |
| Video generation | No video tooling in CLI workflow | Create walkthroughs and clips via anycap video generate | Video Generation page |
| Music generation | No music generation in CLI workflow | Create background tracks through the AnyCap music runtime | Music Generation page |
| Image understanding | No unified vision runtime | Read screenshots, diagrams, and visual references | Image Understanding page |
| Video analysis | Requires separate provider setup | Inspect recordings from the same CLI | Video Analysis page |
| Audio understanding | No unified audio analysis runtime | Transcribe and analyze audio through one runtime | Audio Understanding page |
| Web search | Search depends on external tooling | Search the web from the same capability layer | Web Search page |
| Grounded web search | No grounded search flow in task loop | Run grounded search when the answer needs citations | Grounded Web Search page |
| Web crawl | No reusable crawl runtime | Crawl pages and extract content from one CLI | Web Crawl page |
| Drive storage | No shared asset storage layer | Store outputs with public URLs in AnyCap Drive | Pricing page |
| Page hosting | No built-in page publishing surface | Publish simple pages through AnyCap Page | Pricing page |
| One auth flow | Per-provider credential management | One login across the capability stack | Get Started page |
Start with the first missing capability
Image Generation →
Best next page when Cursor needs visuals, mockups, launch assets, or other image output.
anycap image generate
Video Generation →
Best next page when Cursor needs demos, walkthroughs, or short-form video output.
anycap video generate
Image Understanding →
Best next page when Cursor needs to interpret screenshots, diagrams, OCR, or design feedback.
anycap actions image-read
Video Analysis →
Best next page when Cursor needs to inspect recordings and extract structured details.
anycap actions video-read
Web Search →
Best next page when Cursor needs source discovery, domain filters, recency controls, or structured results.
anycap search
Then pick the model, not just the capability
Cursor users often search for model comparisons, not just capabilities. The image choice is usually Seedream 5 vs Nano Banana 2, while video choice is often Veo 3.1 vs Kling 3.0. These guides help Cursor pick the right model before it calls the CLI.
Seedream 5 →
Best first-pass image model for polished Cursor mockups, launch visuals, and cleaner visual concepts.
Compare with Nano Banana 2 when the question is speed vs polish.
Nano Banana 2 →
Best for fast iteration when Cursor needs many visual variants or repeated content generation.
Compare with Seedream 5 and Nano Banana Pro for workflow fit.
Veo 3.1 →
Best premium video model for Cursor when the task needs high-end cinematic output.
Compare with Kling 3.0 and Seedance 2.5 for motion style and workflow tradeoffs.
FAQ
Can Cursor generate images without AnyCap?
Yes. Cursor 2.4 introduced image generation in Agent mode. AnyCap is not needed merely to make an image; it is the better fit when the workflow needs an explicit model ID, the same command surface across image and video, or downstream storage and publishing that can be reused outside one editor session.
Why use AnyCap instead of wiring providers directly?
Wiring a separate image API, a video API, and a vision API into Cursor means managing multiple SDKs, credentials, and prompts across the same project. AnyCap consolidates those into one CLI and one login, so Cursor gets one capability layer instead of several disconnected provider setups.
Does AnyCap replace Cursor?
No. AnyCap is not an IDE or coding agent. It runs alongside Cursor. You keep Cursor for code, planning, edits, and native Agent features, while AnyCap provides one portable interface for selecting and invoking a wider capability catalog.
What is the fastest path to add tools to Cursor?
Just tell Cursor what you need in natural language, such as "help me install anycap.ai". It can discover the skill, install the CLI, authenticate, and call the right capability automatically. If you prefer manual control, you can still use the three-step install path below.
Does AnyCap work inside the Cursor workflow?
Yes. The AnyCap CLI is a single binary with no external dependencies. It runs in Cursor's integrated terminal, sends API requests to the AnyCap server, and returns file paths or URLs that Cursor can use in follow-up steps, save into your project, or pass to downstream tooling.
Which image model fits Cursor best: Seedream 5, Nano Banana 2, or Nano Banana Pro?
For Cursor workflows, Seedream 5 is the stronger first-pass image model, Nano Banana 2 is the faster option for high-volume iteration, and Nano Banana Pro is the better fit when the workflow starts from an existing image and needs targeted revisions.
Which video model fits Cursor best: Veo 3.1, Kling 3.0, or Seedance 2.5?
Choose Veo 3.1 for story-driven text or image briefs, Kling 3.0 when first/last-frame transitions or multi-shot control matter, and Seedance 2.5 when Cursor needs text, image, first/last-frame, or multimodal reference inputs through one model. Inspect the live AnyCap schema before generating.
Verified Sep 2026
Try a model-backed image workflow in Cursor
An image from the selected external model, saved into the project. Use Cursor's native tools when they already meet your needs.
Install the CLI and sign in once. If you are already configured, continue with the access and cost checks.
curl -fsSL https://anycap.ai/install.sh | sh
anycap loginAdd the skill, then reopen your agent session if needed.
npx -y skills add anycap-ai/anycap -a cursor -yRun anycap status, inspect the current model schema, and check pricing and your balance. Generation is billed; model access and rates can change.
Paste this prompt into your configured agent. Inspect the delivered file and actual charge. If a video is pending, resume its task instead of submitting a duplicate.
Use the AnyCap skill and CLI to generate a small olive-green desk lamp on an off-white background, soft studio light, no text. Check my login, the current image catalog and the Seedream 5 text-to-image schema. Save the image as ./desk-lamp.png. Explain the applicable pricing and ask for approval before running the billed generation. Report the saved file and actual charge after it succeeds.Read the related workflow. For setup help, see installation and login.