
AI3D Studio MCP server
Which MCP servers are AI3D Studio's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-26
- Registry namestudio.ai3d/ai3d-studioverified in the MCP registry
The registry name sits under ai3d.studio. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-26
- Tools14
- Server calls itselfstudio.ai3d/ai3d
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 3155 ms.
- Its tools do generate a textured 3D model from a photo; export a model as STL for 3D printing, but not retexture an existing mesh with new textures.
- Checked on 2 of the 7 days it takes to judge reliability.
Once connected
- Parameters are untyped or undescribed in 7 of 14 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
- What an agent can do with it2 of 3 use cases
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer2356 ms
- Space in an agent's context≈ 3,643 tokensthe definitions of all its tools (14), which an agent carries on every turn
- Tool definitionsA · 92 of 100
- Typed results14 of 14 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 7 of 14
What an agent can do with it
- can do · generate a textured 3D model from a photo
- cannot · retexture an existing mesh with new textures
- can do · export a model as STL for 3D printing
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
list_modelsList 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…
estimate_costPrice 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…
get_balanceGet 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…
generate_3dStart 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…
generateStart 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)…
get_jobGet 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…
list_job_filesList 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…
start_batchRun 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…
list_batchesThe 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).
get_batchThe 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.
retry_batchQueue 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…
search_librarySearch 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…
convert_modelConvert 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…
viewer_job_stateUsed 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"ai3d-studio": {
"type": "http",
"url": "https://ai3d.studio/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http ai3d https://ai3d.studio/mcpclaude.ai, ChatGPT and other clients: add https://ai3d.studio/mcp as a custom connector in the settings.
OpenAPI spec
10 paths, read 2026-10-26. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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