three.ws for Grok
Free text/image to 3D for Grok Bot, plus your three.ws agents once signed in. Never spends.
Connect it
Settings → Connectors → Add custom connector
URL: https://three.ws/api/mcp-grokSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://three.ws/api/mcp-grok{
"mcpServers": {
"threews-grok": {
"url": "https://three.ws/api/mcp-grok"
}
}
}claude mcp add --transport http threews-grok https://three.ws/api/mcp-grok{
"servers": {
"threews-grok": {
"type": "http",
"url": "https://three.ws/api/mcp-grok"
}
}
}15 tools, verified live
forge_freeTurn a text prompt into a textured, downloadable 3D model (GLB), free. Describe a single object, character, or creature; the studio generates an interactive model you can rotate, view, and download. Optional quality tier (draft, standard, high); high is slower and may fall back to standard under load. Renders inline in an interactive 3D viewer. Use this for a single object or creature from text; f
text_to_avatarGenerate a textured 3D avatar (GLB) from a text description or a reference image URL. Best for characters and figures. Renders inline in an interactive 3D viewer. Use this for a character that only needs to be viewed; when it must be posed or animated call forge_avatar instead.
mesh_forgeGenerate a textured 3D mesh (GLB) from a text prompt or a reference image URL. In text mode an AI art-director first refines your prompt into an optimized single-subject spec for higher mesh quality. Renders inline in an interactive 3D viewer. Use this for a single object or prop when mesh quality matters most; for characters call text_to_avatar or forge_avatar.
rig_meshAuto-rig a static 3D model (GLB) into an animation-ready model: adds a humanoid skeleton and skin weights so it can be posed and animated. Provide the GLB URL of a model (e.g. one generated by the other tools). Renders the rigged result inline in an interactive 3D viewer. Use this when you already have a static model; to generate and rig a character in one step call forge_avatar instead.
forge_avatarGenerate a rigged, animation-ready 3D avatar (GLB) from a single text prompt or a reference image, in one step. Generates the mesh, then auto-rigs it with a humanoid skeleton so it is ready to pose and animate. Best for characters; objects are steered to the mesh generator. Renders inline in an interactive 3D viewer. Use this when the user wants a character they can pose or animate.
refine_modelIterate on a model you already generated: just describe the change in words ("make it metallic", "bigger helmet", "add wings"). The studio re-generates a new version anchored to the previous one, carrying its form and materials forward. Pass the previous model's glb_url and, when you have it, the prompt that made it (parent_prompt) so the change builds on it. Each refinement is recorded as a new v
check_jobCheck on a 3D generation that returned status "pending" and collect the finished model. Pass the job_id from the pending result. While it is still rendering you get updated timing; call again after the suggested wait. Checking can save the completed model and restart failed work on another provider. When it is done the model renders inline in the interactive 3D viewer. Use this when the user is wa
get_jobMachine-readable status of a generation that returned "pending". Returns status (queued, running, done, failed, not_found), progress (0 to 1, null when unknown), eta_seconds, and next_check_seconds while it runs; the asset links (viewer_url, glb_url, poster_png_url, embed_html) when done; and a plain error with a remedy when it failed. Safe to call on a schedule: it never starts work and is not co
look_at_modelread-onlyFREE. See a 3D model instead of just linking to it. Renders the GLB from several angles and returns the frames as images you can actually look at, plus its geometry (triangles, materials, textures) and a plain reading of what those numbers mean. Use it to check your own work right after generating: is the subject complete, is the back finished, is anything melted or fused? Then regenerate naming t
search_catalogread-onlyFree, no account needed. Search every ready-made asset three.ws publishes in one call: CC0 3D props and objects, rigged humanoid characters, and retargetable motion clips. Returns ids, titles, tags, licenses, and CDN urls, plus category facets to narrow the next query. Use this before generating anything: if the catalog already has the prop or character, dropping it in is instant and free where ge
get_catalog_itemread-onlyFree, no account needed. Read one three.ws catalog item in full by its id from search_catalog (for example "object:adjustable_wrench"): metadata, license, CDN urls, the site links that preview or edit it, related items of the same kind, and which source frameworks get_item_source can emit for it. Use this after search_catalog to inspect one result before you embed it; for paste-ready code call get
get_item_sourceread-onlyFree, no account needed. Returns working code that renders one three.ws catalog item on any site: the <agent-3d> web component (pinned to the exact published version with its SRI hash), the <model-viewer> tag our own browse grids use, plain three.js with GLTFLoader, or a React component. Motion clips return three.js code that parses the clip JSON and plays it. Omit `framework` to get the one that
create_agent_personaTurn a generated GLB into a NAMED, persistent agent body: a "persona" the assistant reuses across turns and across sessions. The model is copied into durable storage so the body survives the source URL expiring, then registered under a stable persona_id. The returned view renders the LIVING body inline: it idles between turns, and persona_say makes it lip-sync and emote a reply. The persona_id is
get_agent_personaread-onlyBring back a previously saved persona by its persona_id: the SAME body and identity, in a fresh session. Returns the persona name, its model, the accumulated turn count, and the inline living-body view. Use this when a conversation starts and the user returns to a named agent.
persona_sayMake a persona PERFORM a reply: the body lip-syncs the text and shows the matching facial expression and body gesture. Pass the persona_id and the exact text the agent is saying this turn; the emotion is detected from the text automatically (or set it explicitly). The returned view animates the body for this turn: show it alongside the reply. Use this whenever the persona speaks, on every turn, wi
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