# AI3D Studio

> Generate 3D models from images or text with AI, then retexture or convert them to STL, 3MF or OBJ.

- name: studio.ai3d/ai3d-studio
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 82/100 flags: no-repository
- quality: 95/100 (strong)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/studio.ai3d%2Fai3d-studio
- tools: https://api.protogrid.dev/v1/servers/studio.ai3d%2Fai3d-studio/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "ai3d-studio": {
      "type": "http",
      "url": "https://ai3d.studio/mcp"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 99
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-98% +updated-12d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 95/100 (strong)

### protocol: 100 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- pass `protocol.list_ttl`: tool list is cacheable (ttlMs 300000)

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 13 of 13 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 3,757 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 75 (weight 15)

- warn `stability.changes`: 6 tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 13, about 3,757 tokens to load them all
- tool set hash: 282364d425377da42dce1e96e5e2369c
- tools last changed: 2026-10-20T08:08:47.261Z
- badge: [![protogrid quality](https://protogrid.dev/badge/studio.ai3d/ai3d-studio.svg)](https://protogrid.dev/servers/studio.ai3d/ai3d-studio)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-20 `generate` changed (inputSchema)
- 2026-10-20 `generate_3d` changed (inputSchema)
- 2026-10-19 `list_models` changed (description)
  - before: List the models this account can generate with, grouped by what they make (3D, image, …): each with its id, the scenes (input modes such as text-to-3d or image-to-3d) it supports, and the credits it costs at default options. Call this first to choose a model id, then estimate_cost for an exact price. Set include_inputs to also get the option fields of each scene (names, allowed values, ranges). An account whose app has an Image Studio also gets presets: ready-made picture conversions (figurine, style, pose, …) to run with generate by passing options.preset. batches lists the scenes start_batch can run over several Library pictures at once, with the models each may use.
  - after: List the models this account can generate with, grouped by what they make (3D, image, …): each with its id, the scenes (input modes such as text-to-3d or image-to-3d) it supports, and the credits it costs at default options. Call this first to choose a model id, then estimate_cost for an exact price. Set include_inputs to also get the option fields of each scene (names, allowed values, ranges). An account whose app has Image Maker also gets presets: ready-made picture conversions (figurine, style, pose, …) to run with generate by passing options.preset. batches lists the scenes start_batch can run over several Library pictures at once, with the models each may use.
- 2026-10-10 `cancel_job` removed
  - Cancel a job that is still pending or processing. This is the same request the web app Cancel button sends: the platform stops the work and refunds the credits of outputs that did not finish, which get_job then shows. Safe to repeat: cancelling a job that is already cancelling or already finished changes nothing and says so. Only jobs that belong to the account can be cancelled.
- 2026-10-10 `cancel_batch` removed
  - Cancel every picture of a batch that has not started yet; they are never charged and cannot be run again from this batch. Runs already started finish and are charged as usual (cancel_job stops one). Safe to repeat.
- 2026-10-09 `list_models` changed (outputSchema)

Full history: https://api.protogrid.dev/v1/servers/studio.ai3d%2Fai3d-studio/changes

## Remotes

- https://ai3d.studio/mcp (streamable-http, auth none, reachable true, uptime30d 0.98)

## Packages

_none_

## Tools (13)

- `convert_model`: Convert one of the account’s Library 3D models (a GLB) to GLB, STL, 3MF, OBJ or PLY on the server, optionally simplifying it, compressing its geometry, scaling it to a real-world size, moving its origin or repairing it for printing (holes, flipped faces, debris; STL, 3MF, OBJ or PLY), and file the result in the Library as a new creation made from it. Free (no credits) and answered at once. STL and 3MF are millimetres and Z-up for slicers; OBJ and PLY are geometry only, in metres; GLB keeps materials and textures and can be meshopt-compressed. Take asset_id from get_job or search_library (a file of a finished 3D job). Models over 50 MB or 2,000,000 triangles, and Draco-compressed GLBs, are refused. The same conversion run twice returns the same creation.
- `estimate_cost`: Price a generation before starting it: the credits this model would charge for these options, and whether the current balance covers it. Uses the same validation and price calculation as generate_3d and generate, so for a valid request the figure is exactly what is charged. Omit scene to price every scene of the model. Nothing is charged and nothing is started.
- `generate`: Start an async AI generation of any media type and return its job id. The input shape depends on the model (see list_models); for 3D prefer generate_3d. To run an image preset (list_models returns them: figurine, style, pose, convert), send mediaType "image", scene "image-to-image", options.image (the picture, or the subject then a reference), options.preset (its id) and optionally options.preset_addons and options.preset_background; the server composes the prompt, and prompt is then only your extra instructions. Bills credits: check the price with estimate_cost first. Pass a stable idempotencyKey when retrying — a retry with the same key replays the original job instead of billing twice. Then call get_job.
- `generate_3d`: Start a 3D generation and return its job id at once. mode picks the input: text (prompt), image (options with the image URL), multiview (several view images), sketch, or model (edit an existing 3D model). Take the model id and its option names from list_models, and check the price with estimate_cost first: this spends credits. Pass a stable idempotency_key when retrying so a retry replays the same job instead of billing twice. Then call get_job to follow it.
- `get_balance`: Get the credits this account can spend now (and how many of them come from the subscription or are permanent), the plan name when there is one, and — when you are connected with an API key that has a monthly credit limit — that limit, what the key has used this month, and when it resets. Read-only.
- `get_batch`: The state of a batch and of each picture in it: queued, running, done, failed or cancelled, the job_id of its run once started (get_job gives the files), credits charged, and whether retry_batch can run it again.
- `get_job`: Get a job started by generate_3d or generate: its status, progress, credits charged and refunded, and — when it has finished — the result files with their public download URLs, including other formats where the model returned them. Poll about every 5–10 seconds while status is pending or processing; stop when is_terminal is true.
- `list_batches`: The account’s batches of one scene from the last 24 hours, newest first, with each picture’s progress — and how many pictures its plan lets one batch hold (allowance; 0 means the plan includes no batches).
- `list_job_files`: List the files a finished job already has, one per format: the main result plus any alternate formats the model returned (for 3D models, for example glb with fbx or usdz), each with a public download URL. Pass format to find one format. This does not convert: if the format asked for is not there, available_formats says what is, and a model can be exported to other formats from the web app model viewer.
- `list_models`: List the models this account can generate with, grouped by what they make (3D, image, …): each with its id, the scenes (input modes such as text-to-3d or image-to-3d) it supports, and the credits it costs at default options. Call this first to choose a model id, then estimate_cost for an exact price. Set include_inputs to also get the option fields of each scene (names, allowed values, ranges). An account whose app has Image Maker also gets presets: ready-made picture conversions (figurine, style, pose, …) to run with generate by passing options.preset. batches lists the scenes start_batch can run over several Library pictures at once, with the models each may use.
- `retry_batch`: Queue the batch’s failed pictures (and any stopped for want of credits) again as new runs, or only the item_ids given. Charged as each starts, like a new batch of that many pictures: the balance must cover them and they count against a monthly limit.
- `search_library`: Search the Library of past generations kept by this account, newest first: filter by words in the prompt or title and by kind (3d, image, …). Returns the job id, model, status and result file URLs of each run. Use next_cursor to page. Only runs of this account are ever searched. For the full detail of one run call get_job.
- `start_batch`: Run the same model, scene and options once for each of several pictures in the account’s Library — for example image to 3D for twelve product photos. Take the scenes and models from list_models (`batches`), and each picture’s asset_id from get_job or search_library on a finished image job. Nothing is charged now: each run is charged as it starts and refunded if it fails, but the balance must cover the whole quote, and for a key or connection with a monthly limit the whole quote is held against it until each picture runs (then its real cost counts) or is cancelled, refused or refunded (then nothing does). Returns a batch id at once; follow it with get_batch. Pass idempotency_key on retries so a repeat returns the same batch instead of queueing another.