Server definition
- Hash
- sha256:3a1eba0fa09074d55b2bbcfbe8900cb30bcd51765b85a1c3f30ed73bb40e162a
- What it is
- What a remote MCP server returned when asked what it offers: 14 tools
The blob, as servednamed by its sha256
{
"instructions": "three.ws 3D Studio turns a text prompt or an image into an interactive, downloadable 3D model (GLB), free. forge_free(prompt) generates a model from text; text_to_avatar and mesh_forge generate an avatar or art-directed mesh from text or a reference image; rig_mesh(glb_url) makes a static model animation-ready; forge_avatar does generate + rig in one step. Each result includes a glbUrl and a viewerUrl and renders inline in a 3D viewer widget. refine_model(glb_url, instruction) iterates on a generated model in plain language (\"make it metallic\") and keeps a version lineage you can branch or revert. If a result comes back with status \"pending\", the model is still rendering: call check_job(job_id) after the suggested wait to collect it. Before generating a prop, character or animation, search_catalog(q) checks the thousands of ready-made CC0 props, rigged characters and motion clips three.ws already publishes; get_item_source(id) returns paste-ready code for a match. Say whether you used an existing asset or generated a new one. To give the assistant a LIVING body: create_agent_persona(glb_url, name) saves a rigged model as a named, persistent persona and returns a persona_id; persona_say(persona_id, text) makes that body lip-sync the reply and emote; get_agent_persona(persona_id) brings the same body back in a later session. The persona renders inline and idles between turns.",
"tools": [
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"job_id": {
"description": "The job_id (or jobId) a pending generation returned.",
"maxLength": 4096,
"minLength": 8,
"type": "string"
},
"refine": {
"additionalProperties": true,
"description": "Optional: the refine object a pending refine_model result carried. Pass it back unchanged so the finished model joins that version history.",
"properties": {
"instruction": {
"maxLength": 500,
"type": "string"
},
"lineage": {
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
"parentIndex": {
"minimum": 0,
"type": "integer"
},
"refKind": {
"enum": [
"text",
"image"
],
"type": "string"
}
},
"type": "object"
}
},
"required": [
"job_id"
],
"type": "object"
},
"name": "check_job",
"outputSchema": null
},
{
"description": "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. No sign-in required.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"glb_url": {
"description": "Public https URL of the rigged GLB to embody (e.g. from forge_avatar).",
"format": "uri",
"type": "string"
},
"name": {
"description": "A display name for the persona, 1–80 characters.",
"maxLength": 80,
"minLength": 1,
"type": "string"
},
"source_prompt": {
"description": "Optional: the prompt that generated this body, kept as provenance.",
"maxLength": 1000,
"type": "string"
},
"voice": {
"description": "Optional voice name to speak with (used for audio-driven lip-sync when available).",
"maxLength": 64,
"type": "string"
}
},
"required": [
"glb_url",
"name"
],
"type": "object"
},
"name": "create_agent_persona",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"allow_non_humanoid": {
"description": "Set true to rig a non-humanoid subject anyway (rigging assumes a humanoid figure).",
"type": "boolean"
},
"image_url": {
"description": "Optional http(s) URL to a reference image to reconstruct in 3D.",
"format": "uri",
"type": "string"
},
"prompt": {
"description": "Description of the character/avatar to generate.",
"maxLength": 1000,
"type": "string"
}
},
"type": "object"
},
"name": "forge_avatar",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"prompt": {
"description": "Description of the single object or character to model, e.g. \"a friendly round robot mascot, glossy white plastic\".",
"maxLength": 1000,
"minLength": 3,
"type": "string"
},
"tier": {
"description": "Detail level: draft (fastest), standard (default), or high (best, slower; may fall back to standard under load).",
"enum": [
"draft",
"standard",
"high"
],
"type": "string"
}
},
"required": [
"prompt"
],
"type": "object"
},
"name": "forge_free",
"outputSchema": null
},
{
"description": "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 at the start of a conversation when the user returns to a named agent.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"persona_id": {
"description": "The persona_id returned by create_agent_persona.",
"maxLength": 64,
"minLength": 8,
"type": "string"
}
},
"required": [
"persona_id"
],
"type": "object"
},
"name": "get_agent_persona",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"id": {
"description": "Catalog id as `<kind>:<name>` from search_catalog. A bare name is also accepted.",
"maxLength": 200,
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "get_catalog_item",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"framework": {
"description": "Which form to emit. Defaults to the recommended one for the item kind. \"all\" returns every applicable variant.",
"enum": [
"agent-3d",
"model-viewer",
"three",
"react",
"all"
],
"type": "string"
},
"id": {
"description": "Catalog id from search_catalog.",
"maxLength": 200,
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "get_item_source",
"outputSchema": null
},
{
"description": "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 right after generating to check your own work: 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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"glb_url": {
"description": "Public https URL of the .glb to look at.",
"maxLength": 2048,
"minLength": 12,
"type": "string"
},
"size": {
"description": "Pixel size of each square frame. Default 512.",
"maximum": 1024,
"minimum": 128,
"type": "integer"
},
"views": {
"description": "Angles to render. Default: three-quarter, front, side, back.",
"items": {
"enum": [
"front",
"three-quarter",
"side",
"back",
"top",
"bottom"
],
"type": "string"
},
"maxItems": 6,
"type": "array"
}
},
"required": [
"glb_url"
],
"type": "object"
},
"name": "look_at_model",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"image_url": {
"description": "Optional http(s) URL to a reference image to reconstruct directly.",
"format": "uri",
"type": "string"
},
"prompt": {
"description": "Description of the single object to model.",
"maxLength": 1000,
"type": "string"
}
},
"type": "object"
},
"name": "mesh_forge",
"outputSchema": null
},
{
"description": "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. This is the turn-by-turn embodiment hook.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"emotion": {
"description": "Optional explicit emotion override; omit to auto-detect from the text.",
"enum": [
"neutral",
"joy",
"sad",
"angry",
"surprised",
"thinking"
],
"type": "string"
},
"persona_id": {
"description": "The persona to speak through.",
"maxLength": 64,
"minLength": 8,
"type": "string"
},
"text": {
"description": "The reply text the agent is saying this turn: drives lip-sync and emotion.",
"maxLength": 2000,
"minLength": 1,
"type": "string"
}
},
"required": [
"persona_id",
"text"
],
"type": "object"
},
"name": "persona_say",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"glb_url": {
"description": "http(s) URL of the model to refine (e.g. the glbUrl a previous generation returned).",
"format": "uri",
"type": "string"
},
"instruction": {
"description": "The change to make, in plain language: \"make it metallic\", \"bigger helmet\", \"add a cape\".",
"maxLength": 500,
"minLength": 1,
"type": "string"
},
"parent_index": {
"description": "Optional: branch off an earlier version in parent_lineage (its index) instead of the latest.",
"minimum": 0,
"type": "integer"
},
"parent_lineage": {
"description": "Optional: the lineage array from a previous refine_model result, to extend the same version history.",
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
"parent_prompt": {
"description": "Optional: the prompt that produced the model being refined, so the change builds on it instead of starting over.",
"maxLength": 1000,
"type": "string"
},
"reference_image_url": {
"description": "Optional http(s) image of the current model to anchor the re-generation (image→3D). Omit for text-guided refinement.",
"format": "uri",
"type": "string"
}
},
"required": [
"glb_url",
"instruction"
],
"type": "object"
},
"name": "refine_model",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"glb_url": {
"description": "http(s) URL to the static GLB mesh to rig.",
"format": "uri",
"type": "string"
}
},
"required": [
"glb_url"
],
"type": "object"
},
"name": "rig_mesh",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"category": {
"description": "Exact category from a previous result's facets.",
"maxLength": 80,
"type": "string"
},
"kind": {
"description": "Narrow to one library: object (CC0 props), character (rigged humanoids), animation (motion clips).",
"enum": [
"object",
"character",
"animation"
],
"type": "string"
},
"limit": {
"default": 12,
"maximum": 50,
"minimum": 1,
"type": "integer"
},
"offset": {
"default": 0,
"description": "Page offset. Use next_offset from the previous response.",
"minimum": 0,
"type": "integer"
},
"q": {
"description": "Free text over titles, names, tags, and categories, e.g. \"wooden chair\", \"office\", \"wave\". Every word must match somewhere, so start broad.",
"maxLength": 200,
"type": "string"
},
"tag": {
"description": "Exact tag from a previous result's facets.",
"maxLength": 80,
"type": "string"
}
},
"type": "object"
},
"name": "search_catalog",
"outputSchema": null
},
{
"description": "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.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"image_url": {
"description": "Optional http(s) URL to a reference image to reconstruct in 3D.",
"format": "uri",
"type": "string"
},
"prompt": {
"description": "Description of the avatar to generate.",
"maxLength": 1000,
"type": "string"
}
},
"type": "object"
},
"name": "text_to_avatar",
"outputSchema": null
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:3a1eba0fa09074d55b2bbcfbe8900cb30bcd51765b85a1c3f30ed73bb40e162a | sha256sum