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three.ws for Grok

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Free text/image to 3D for Grok Bot, plus your three.ws agents once signed in. Never spends.

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
Repository
nirholas/three.ws
GitHub Stars
23

TDQS

Score is being calculated.

Available Tools

15 tools
check_jobCheck a pending 3D generationInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job_id (or jobId) a pending generation returned.
refineNoOptional: the refine object a pending refine_model result carried. Pass it back unchanged so the finished model joins that version history.
create_agent_personaSave a rigged model as a living, persistent agent bodyInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYesA display name for the persona, 1–80 characters.
voiceNoOptional voice name to speak with (used for audio-driven lip-sync when available).
glb_urlYesPublic https URL of the rigged GLB to embody (e.g. from forge_avatar).
source_promptNoOptional: the prompt that generated this body, kept as provenance.
forge_avatarGenerate a rigged, animation-ready avatarInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
promptNoDescription of the character/avatar to generate.
image_urlNoOptional http(s) URL to a reference image to reconstruct in 3D.
idempotency_keyNoOptional 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_humanoidNoSet true to rig a non-humanoid subject anyway (rigging assumes a humanoid figure).
forge_freeGenerate a 3D model from textInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
tierNoDetail level: draft (fastest), standard (default), or high (best, slower; may fall back to standard under load).
promptYesDescription of the single object or character to model, e.g. "a friendly round robot mascot, glossy white plastic".
idempotency_keyNoOptional 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.
get_agent_personaReload a persona by id (continuity across sessions)
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
persona_idYesThe persona_id returned by create_agent_persona.
get_catalog_itemRead one catalog item
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesCatalog id as `<kind>:<name>` from search_catalog. A bare name is also accepted.
get_item_sourceGet paste-ready source for a catalog item
Read-onlyIdempotent
Inspect

Free, no account needed. Returns working code that renders one three.ws catalog item on any site: the web component (pinned to the exact published version with its SRI hash), the 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.

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesCatalog id from search_catalog.
frameworkNoWhich form to emit. Defaults to the recommended one for the item kind. "all" returns every applicable variant.
get_jobGet the status of a 3D jobInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job_id (or jobId) a pending generation returned.
refineNoOptional: the refine object a pending refine_model result carried, passed back unchanged.
look_at_modelLook at a 3D model
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
sizeNoPixel size of each square frame. Default 512.
viewsNoAngles to render. Default: three-quarter, front, side, back.
glb_urlYesPublic https URL of the .glb to look at.
mesh_forgeGenerate a 3D mesh (art-directed)Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
promptNoDescription of the single object to model.
image_urlNoOptional http(s) URL to a reference image to reconstruct directly.
idempotency_keyNoOptional 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.
persona_saySpeak a reply through a persona: lip-sync + emotion + gestureInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
textYesThe reply text the agent is saying this turn: drives lip-sync and emotion.
emotionNoOptional explicit emotion override; omit to auto-detect from the text.
persona_idYesThe persona to speak through.
refine_modelRefine a 3D model by describing a changeInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
glb_urlYeshttp(s) URL of the model to refine (e.g. the glbUrl a previous generation returned).
instructionYesThe change to make, in plain language: "make it metallic", "bigger helmet", "add a cape".
parent_indexNoOptional: branch off an earlier version in parent_lineage (its index) instead of the latest.
parent_promptNoOptional: the prompt that produced the model being refined, so the change builds on it instead of starting over.
parent_lineageNoOptional: the lineage array from a previous refine_model result, to extend the same version history.
idempotency_keyNoOptional 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_urlNoOptional http(s) image of the current model to anchor the re-generation (image→3D). Omit for text-guided refinement.
rig_meshRig a 3D model for animationInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
glb_urlYeshttp(s) URL to the static GLB mesh to rig.
idempotency_keyNoOptional 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.
search_catalogSearch the three.ws asset catalogA
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
qNoFree text over titles, names, tags, and categories, e.g. "wooden chair", "office", "wave". Every word must match somewhere, so start broad.
tagNoExact tag from a previous result's facets.
kindNoNarrow to one library: object (CC0 props), character (rigged humanoids), animation (motion clips).
limitNo
offsetNoPage offset. Use next_offset from the previous response.
categoryNoExact category from a previous result's facets.

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only/idempotent/non-destructive status, but the description adds meaningful behavior: no account required, no cost, return fields including ids and facets, and the recommended next call. This is richer than the structured hints alone.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the key value proposition, then scope, return shape, and the generation-vs-catalog workflow. Every sentence contributes without repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description still explains the returned fields and facets, covers the no-auth/no-cost context, and provides the routing step to get_item_source. An agent has enough to select and invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 83%, so most parameters are already documented. The description reinforces the kind categories and points to facets for category/tag narrowing, but does not add syntax or format detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: search the three.ws ready-made asset catalog. It enumerates the three asset libraries and distinguishes itself from sibling generation tools by positioning catalog search as the pre-generation check.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use it ('before generating anything') and why ('if the catalog already has the prop or character, dropping it in is instant and free where generating one is not'). It also names the follow-up path to get_item_source.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

text_to_avatarGenerate a 3D avatarInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
promptNoDescription of the avatar to generate.
image_urlNoOptional http(s) URL to a reference image to reconstruct in 3D.
idempotency_keyNoOptional 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.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 15 tool updates
    • First observedcheck_job
    • First observedcreate_agent_persona
    • First observedforge_avatar
    • First observedforge_free
    • First observedget_agent_persona
    • First observedget_catalog_item
    • First observedget_item_source
    • First observedget_job
    • First observedlook_at_model
    • First observedmesh_forge
    • First observedpersona_say
    • First observedrefine_model
    • First observedrig_mesh
    • First observedsearch_catalog
    • First observedtext_to_avatar

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