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io.github.nirholas/threews-3d-studio-free
serveur MCP (Model Context Protocol) · three-ws-3d-studio-free 1.0.0
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Les 15 outils
- check_job≈ 352 tokens
Check 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 waiting to see the finished model; for quiet polling on a schedule call get_job instead.
Paramètres, retour & exemple (2)
Paramètresjob_id· string · requis
The job_id (or jobId) a pending generation returned.refine· object · optionnel
Optional: the refine object a pending refine_model result carried. Pass it back unchanged so the finished model joins that version history.
Exemple d'appel{"name": "check_job", "arguments": {"job_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - create_agent_persona≈ 382 tokens
Turn 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 the handle: keep it and pass it to get_agent_persona or persona_say later to bring the exact same body back. Use this once a rigged model should become a recurring character the assistant speaks through. No sign-in required.
Paramètres, retour & exemple (4)
Paramètresname· string · requis
A display name for the persona, 1–80 characters.voice· string · optionnel
Optional voice name to speak with (used for audio-driven lip-sync when available).glb_url· string · requis
Public https URL of the rigged GLB to embody (e.g. from forge_avatar).source_prompt· string · optionnel
Optional: the prompt that generated this body, kept as provenance.
Exemple d'appel{"name": "create_agent_persona", "arguments": {"name": "texte", "glb_url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - forge_avatar≈ 369 tokens
Generate 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.
Paramètres, retour & exemple (4)
Paramètresprompt· string · optionnel
Description of the character/avatar to generate.image_url· string · optionnel
Optional http(s) URL to a reference image to reconstruct in 3D.idempotency_key· string · optionnel
Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused.allow_non_humanoid· boolean · optionnel
Set true to rig a non-humanoid subject anyway (rigging assumes a humanoid figure).
Exemple d'appel{"name": "forge_avatar", "arguments": {"prompt": "texte", "image_url": "texte", "idempotency_key": "texte", "allow_non_humanoid": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - forge_free≈ 402 tokens
Turn 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; for a posable character call forge_avatar, and to change a model you already made call refine_model.
Paramètres, retour & exemple (3)
Paramètrestier· string · optionnel · draft | standard | high
Detail level: draft (fastest), standard (default), or high (best, slower; may fall back to standard under load).prompt· string · requis
Description of the single object or character to model, e.g. "a friendly round robot mascot, glossy white plastic".idempotency_key· string · optionnel
Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused.
Exemple d'appel{"name": "forge_free", "arguments": {"prompt": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_agent_persona≈ 186 tokens
Bring 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.
Paramètres, retour & exemple (1)
Paramètrespersona_id· string · requis
The persona_id returned by create_agent_persona.
Exemple d'appel{"name": "get_agent_persona", "arguments": {"persona_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_catalog_item≈ 216 tokens
Free, 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_item_source instead.
Paramètres, retour & exemple (1)
Paramètresid· string · requis
Catalog id as `<kind>:<name>` from search_catalog. A bare name is also accepted.
Exemple d'appel{"name": "get_catalog_item", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_item_source≈ 310 tokens
Free, 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 fits the item best; pass `all` to get every variant at once. Use this when you are ready to put a catalog item on a page or in an app; call get_catalog_item first if you still need its license or metadata.
Paramètres, retour & exemple (2)
Paramètresid· string · requis
Catalog id from search_catalog.framework· string · optionnel · agent-3d | model-viewer | three | react | all
Which form to emit. Defaults to the recommended one for the item kind. "all" returns every applicable variant.
Exemple d'appel{"name": "get_item_source", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_job≈ 298 tokens
Machine-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 counted against the generation quota. Use this to poll a pending job from code or a loop; call check_job with the same job_id when you want the finished model rendered in the inline viewer.
Paramètres, retour & exemple (2)
Paramètresjob_id· string · requis
The job_id (or jobId) a pending generation returned.refine· object · optionnel
Optional: the refine object a pending refine_model result carried, passed back unchanged.
Exemple d'appel{"name": "get_job", "arguments": {"job_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - look_at_model≈ 310 tokens
FREE. 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 the fault you saw. Works on any public https .glb, not only ones made here.
Paramètres, retour & exemple (3)
Paramètressize· integer · optionnel
Pixel size of each square frame. Default 512.views· array · optionnel
Angles to render. Default: three-quarter, front, side, back.glb_url· string · requis
Public https URL of the .glb to look at.
Exemple d'appel{"name": "look_at_model", "arguments": {"glb_url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - mesh_forge≈ 324 tokens
Generate 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.
Paramètres, retour & exemple (3)
Paramètresprompt· string · optionnel
Description of the single object to model.image_url· string · optionnel
Optional http(s) URL to a reference image to reconstruct directly.idempotency_key· string · optionnel
Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused.
Exemple d'appel{"name": "mesh_forge", "arguments": {"prompt": "texte", "image_url": "texte", "idempotency_key": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - persona_say≈ 318 tokens
Make 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, with the persona_id from create_agent_persona or get_agent_persona.
Paramètres, retour & exemple (3)
Paramètrestext· string · requis
The reply text the agent is saying this turn: drives lip-sync and emotion.emotion· string · optionnel · neutral | joy | sad | angry | surprised | thinking
Optional explicit emotion override; omit to auto-detect from the text.persona_id· string · requis
The persona to speak through.
Exemple d'appel{"name": "persona_say", "arguments": {"text": "texte", "persona_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - refine_model≈ 627 tokens
Iterate 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 version in a lineage you can revert to or branch from, and the returned lineage drives a version strip in the viewer. Renders the new version inline in the interactive 3D viewer. Use this instead of a fresh generation when the user wants to change a model they already have.
Paramètres, retour & exemple (7)
Paramètresglb_url· string · requis
http(s) URL of the model to refine (e.g. the glbUrl a previous generation returned).instruction· string · requis
The change to make, in plain language: "make it metallic", "bigger helmet", "add a cape".parent_index· integer · optionnel
Optional: branch off an earlier version in parent_lineage (its index) instead of the latest.parent_prompt· string · optionnel
Optional: the prompt that produced the model being refined, so the change builds on it instead of starting over.parent_lineage· array · optionnel
Optional: the lineage array from a previous refine_model result, to extend the same version history.idempotency_key· string · optionnel
Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused.reference_image_url· string · optionnel
Optional http(s) image of the current model to anchor the re-generation (image→3D). Omit for text-guided refinement.
Exemple d'appel{"name": "refine_model", "arguments": {"glb_url": "texte", "instruction": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - rig_mesh≈ 301 tokens
Auto-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.
Paramètres, retour & exemple (2)
Paramètresglb_url· string · requis
http(s) URL to the static GLB mesh to rig.idempotency_key· string · optionnel
Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused.
Exemple d'appel{"name": "rig_mesh", "arguments": {"glb_url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_catalog≈ 402 tokens
Free, 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 generating one is not. Feed a returned id to get_item_source for code that renders it on any site.
Paramètres, retour & exemple (6)
Paramètresq· string · optionnel
Free text over titles, names, tags, and categories, e.g. "wooden chair", "office", "wave". Every word must match somewhere, so start broad.tag· string · optionnel
Exact tag from a previous result's facets.kind· string · optionnel · object | character | animation
Narrow to one library: object (CC0 props), character (rigged humanoids), animation (motion clips).limit· integer · optionneloffset· integer · optionnel
Page offset. Use next_offset from the previous response.category· string · optionnel
Exact category from a previous result's facets.
Exemple d'appel{"name": "search_catalog", "arguments": {"q": "texte", "tag": "texte", "kind": "object", "limit": 1, "offset": 1, "category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - text_to_avatar≈ 299 tokens
Generate 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.
Paramètres, retour & exemple (3)
Paramètresprompt· string · optionnel
Description of the avatar to generate.image_url· string · optionnel
Optional http(s) URL to a reference image to reconstruct in 3D.idempotency_key· string · optionnel
Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused.
Exemple d'appel{"name": "text_to_avatar", "arguments": {"prompt": "texte", "image_url": "texte", "idempotency_key": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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