Tanish Manku f96cd8b915 mcp: list_models tool and the fake's model catalogues
fake-upstream/src/catalogue.ts ports infra/fake-storyteller-web's
catalogue: the real model ids, creators and display names for image,
video, audio, mesh and splat, with one representative capability
profile per kind. The image and video endpoints' own `provider` filter
(OmniGen*ModelsProvider: "artcraft" — the default — or "all") is
mirrored, including a 400 for other values; audio, mesh and splat
declare no filter and list everything. All five catalogues validate
against the spec.

src/mcp/tools/list-models.ts always asks upstream for "all" so the
catalogue is complete, applies the caller's GenerationProvider filter
client-side via the providers block, and passes each model's capability
fields through verbatim — what lets a client build a valid
estimate_cost call from one source of truth.

Typecheck caught the contract mismatch on the way: the tool first sent
GenerationProvider values as the endpoint's query, which the fake
accepted and production would reject; the generated types refused it.

Tests (5 tool + 8 fake): normalisation and pass-through, "all" query for
image/video, client-side provider filtering for every kind, every kind
served; spec-valid catalogues, upstream's default and enum, no-filter
kinds listing everything. Server and handler suites list the tool
under read:catalog.

Claude-Session: https://claude.ai/code/session_01H3gfN2NCx3hBXSrZXYHUQ3
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2026-08-19 21:16:04 +07:00
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2026-08-09 22:54:25 -04:00
2026-08-09 22:54:25 -04:00

The IDE for artists.

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ArtCraft

ArtCraft is the IDE for interactive AI image and video creation. We turn prompting into crafting, so your ideas become a form of tangible expression and computing. This is Adobe Photoshop for everyone, and we're giving away the source code!

Show, Don't Tell: Advanced Crafting Features

Text-to-image is great, but artists need control. It's important to know what your image will look like before you generate it, and it's vitally important to achieve consistency and repeatability.

Feature Demo + Explanation
Image to Location Video Placing virtual actors into physical environments establishes single-location consistency. You can film multiple shots within a room without having things disappear.
3D Image Compositing Video Use images (backdrops, foreground elements, props, etc.) in scenes with depth and blend them naturally together. Just a couple of images usually leads to great compositions.
2D Image Compositing Video Use images, background removal, layers, and simple drawing tools to precisely compose a scene.
Image to 3D Mesh Video It's almost impossible to lay out complicated objects or block complicated scenes; turning images into 3D helps position elements exactingly and intentionally.
Character Posing Video You can dynamically pose your characters to achieve the precise character, scene, and camera blocking before calling "action".
Scene Blocking w/ Kit Bashing Video Use 3D asset kits to precisely block out your scene: get the correct angles, object positions, and rich depth layering you can't with text prompting.
Character Identity Transfer Video Use mannequins as simple 3D ControlNets for posing any character.
Background Removal Video Remove backgrounds from images to make them useful in 2D or 3D compositing. They can be props, layers, or backdrops.
Mixed Asset Crafting Video You can use image cutouts, worlds, and simple 3D meshes all together to precisely and intentionally lay out your scenes.
Scene Blocking (preview coming soon)
Canvas Editing (preview coming soon)
Scene Relighting (preview coming soon)

Note: all of the above videos were generated for free with Grok Video; the cost to build this README was negligible.

Quick and Easy Prompting

We haven't abandoned text-to-asset generation for quick prototyping and ideation. We support every popular workflow in a first class fashion.

Feature Demo + Explanation
Text to Image Video Text prompt over a dozen different image models.
Image Editing Video Edit with Nano Banana Pro and GPT Image 1.5.
Image Editing Video Use inpainting, drawing, masking, etc. to edit images.
Image to Video Video Image to video with lots of different options and controls.
Image Inpainting (preview coming soon)
Image Ingredients (preview coming soon)

Models and Providers Supported within Artcraft

Provider Features
Artcraft Nano Banana, Nano Banana Pro, GPT-Image-1 / 1.5, Seedance 1.0 Lite / 1.5 Pro / 2.0, Seedream 4 / 4.5, Flux 1.1 / Kontext, Veo 2 / 3 / 3.1, Kling 1.6 / 2.1 / 2.5 / 2.6, Sora 2 / Pro, Hunyuan 3d 2 / 3
Grok Grok Imagine, Grok Video
Midjourney Image Gen (all versions)
Sora Sora 1, Sora 2, GPT-Image-1
WorldLabs Marble (Gaussian Splat World Generation)

We're going to be adding the following providers soon: Kling (via Kling website accounts), Google (via API keys), Runway (via website account), Luma (via website account).

We're potentially interested in adding other aggregators for those who already have subscriptions and credits at those providers, for example: OpenArt, FreePik, etc.

Downloads

Documentation

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Rust 59.4%
TypeScript 39.3%
JavaScript 0.7%
Python 0.2%
Shell 0.2%
Other 0.2%