MCP server

AI3D Studio Official

studio.ai3d/ai3d-studio

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

ai3d.studio (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 4,165 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ai3d-studio https://ai3d.studio/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ai3d-studio]
url = "https://ai3d.studio/mcp"

Gemini CLI

{"mcpServers":{"ai3d-studio":{"httpUrl":"https://ai3d.studio/mcp"}}}

Cursor

{"mcpServers":{"ai3d-studio":{"url":"https://ai3d.studio/mcp"}}}

VS Code

{"servers":{"ai3d-studio":{"type":"http","url":"https://ai3d.studio/mcp"}}}

Antigravity

agy mcp add ai3d-studio https://ai3d.studio/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ai3d-studio","server_url":"https://ai3d.studio/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ai3d-studio","server_url":"https://ai3d.studio/mcp"}

Tools

• convert_model ~660 tokens
  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 r
• estimate_cost ~256 tokens
  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
• generate ~516 tokens
  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 (t
• generate_3d ~425 tokens
  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
• get_balance ~127 tokens
  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 ~140 tokens
  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 ~176 tokens
  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;
• list_batches ~137 tokens
  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 ~229 tokens
  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, av
• list_models ~348 tokens
  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
• retry_batch ~180 tokens
  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 ~265 tokens
  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
• start_batch ~541 tokens
  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 i
• viewer_job_state ~165 tokens
  Used by the interactive 3D viewer shown next to a generation result, not for direct use: the state of one job and, once it has finished, the URL of the model file the viewer can draw plus the download links. Read-only; the conversation never needs to call it, get_job gives the same facts as text.

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