_ registry / mcp streamable-http · checked 1h ago

aiapps-agent-mcp

https://ai3d.studio

Registry code: f46c255967a221d0

api record

Generates 3D models and other media. Use list_models to pick a model and learn its option names, and estimate_cost to price a run before starting it: generating spends credits. generate_3d (or generate for other media) accepts the job and returns a job_id at once; follow it with get_job until is_terminal is true, then read the result file URLs from it. start_batch runs one model over several Library pictures, one job each, and get_batch follows it. search_library finds earlier work, and convert_model turns one of its GLB models into STL, 3MF, OBJ, PLY or a compressed or resized GLB for free;…

endpoint
https://ai3d.studio/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is aiapps-agent-mcp live?
Partly — its last checks failed now and then (checked 1h ago). It answered 0% of checks over the last 30 days.
Is aiapps-agent-mcp free to use?
Not measured yet.
What tools does aiapps-agent-mcp have?
16 tools: generate, list_models, estimate_cost, get_balance, generate_3d, get_job, list_job_files, cancel_job, ….
Is aiapps-agent-mcp safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
degraded
uptime, 30 days
0%

90 days 0%· all time 0%

latency
—

last good check

priced tools
0

of 16 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → degraded· timeout after 20000ms
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 16 tools
16 never probed 0 of 16 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • generate unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "mediaType",
    "model"
  ],
  "properties": {
    "model": {
      "type": "string",
      "minLength": 1
    },
    "scene": {
      "type": "string"
    },
    "prompt": {
      "type": "string",
      "description": "The prompt; with options.preset, only your additional instructions."
    },
    "options": {
      "type": "object",
      "description": "Model-specific options; derive from list_models (include_inputs). For an image preset: preset (its id), preset_addons, preset_background.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": true
    },
    "mediaType": {
      "type": "string",
      "minLength": 1,
      "description": "Generation family, e.g. 'image' | 'video' | '3d' | 'music' — see list_models."
    },
    "workflowType": {
      "type": "string"
    },
    "idempotencyKey": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
    arguments 41 lines
  • list_models unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "media_type": {
      "enum": [
        "music",
        "image",
        "video",
        "text",
        "speech",
        "3d"
      ],
      "type": "string",
      "description": "Only models of this kind, e.g. '3d' or 'image'."
    },
    "available_only": {
      "type": "boolean",
      "default": true,
      "description": "Leave out models that are listed but cannot be started."
    },
    "include_inputs": {
      "type": "boolean",
      "default": false,
      "description": "Include the option fields of every scene (larger result)."
    }
  }
}
    arguments 28 lines
  • estimate_cost unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "A model id from list_models."
    },
    "scene": {
      "type": "string",
      "description": "A scene id from list_models, e.g. 'image-to-3d'."
    },
    "prompt": {
      "type": "string"
    },
    "options": {
      "type": "object",
      "description": "The options you intend to pass; they change the price.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": true
    }
  }
}
    arguments 29 lines
  • get_balance unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {}
}
    arguments 5 lines
  • generate_3d unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "mode",
    "model"
  ],
  "properties": {
    "mode": {
      "enum": [
        "image",
        "text",
        "multiview",
        "sketch",
        "model"
      ],
      "type": "string",
      "description": "Which input the model is given."
    },
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "A 3D model id from list_models."
    },
    "prompt": {
      "type": "string"
    },
    "options": {
      "type": "object",
      "description": "Model-specific options; take the field names from list_models with include_inputs, and price them with estimate_cost first.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": true
    },
    "idempotency_key": {
      "type": "string",
      "maxLength": 191,
      "description": "Reuse the same value when retrying this exact request."
    }
  }
}
    arguments 42 lines
  • get_job unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The job id returned by generate_3d or generate."
    }
  }
}
    arguments 15 lines
  • list_job_files unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "job_id"
  ],
  "properties": {
    "format": {
      "type": "string",
      "maxLength": 16,
      "description": "A file format to look for, e.g. 'glb' or 'stl'."
    },
    "job_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The job id returned by generate_3d or generate."
    }
  }
}
    arguments 20 lines
  • cancel_job unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The job id returned by generate_3d or generate."
    }
  }
}
    arguments 15 lines
  • start_batch unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "model",
    "scene",
    "items"
  ],
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "asset_id"
        ],
        "properties": {
          "name": {
            "type": "string",
            "maxLength": 400
          },
          "asset_id": {
            "type": "string",
            "maxLength": 191,
            "minLength": 1
          }
        }
      },
      "maxItems": 100,
      "minItems": 1,
      "description": "One entry per picture: a Library image’s asset_id."
    },
    "model": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1
    },
    "scene": {
      "type": "string",
      "maxLength": 64,
      "minLength": 1
    },
    "prompt": {
      "type": "string",
      "maxLength": 8000
    },
    "options": {
      "type": "object",
      "description": "Options every run shares, as for generate; the picture field is filled per item.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": true
    },
    "project_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1
    },
    "idempotency_key": {
      "type": "string",
      "maxLength": 128,
      "minLength": 8
    },
    "notify_by_email": {
      "type": "boolean"
    },
    "expected_credits": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": 0,
      "description": "The quote you showed the person; a different price queues nothing."
    }
  }
}
    arguments 75 lines
  • list_batches unknown never probed

    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).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "scene"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 10,
      "minimum": 1
    },
    "scene": {
      "type": "string",
      "maxLength": 64,
      "minLength": 1
    }
  }
}
    arguments 19 lines
  • get_batch unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "batch_id"
  ],
  "properties": {
    "batch_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The batch id start_batch returned."
    }
  }
}
    arguments 15 lines
  • cancel_batch unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "batch_id"
  ],
  "properties": {
    "batch_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The batch id start_batch returned."
    }
  }
}
    arguments 15 lines
  • retry_batch unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "batch_id"
  ],
  "properties": {
    "batch_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The batch id start_batch returned."
    },
    "item_ids": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 191,
        "minLength": 1
      },
      "maxItems": 100
    }
  }
}
    arguments 24 lines
  • search_library unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "limit": {
      "type": "integer",
      "default": 20,
      "maximum": 50,
      "minimum": 1,
      "description": "How many to return, 1 to 50."
    },
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Words to look for in the prompt or title."
    },
    "cursor": {
      "type": "string",
      "maxLength": 8,
      "description": "The next_cursor of the previous result."
    },
    "media_type": {
      "enum": [
        "music",
        "image",
        "video",
        "text",
        "speech",
        "3d"
      ],
      "type": "string",
      "description": "Only runs of this kind, e.g. '3d' or 'image'."
    }
  }
}
    arguments 35 lines
  • convert_model unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "asset_id"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1
    },
    "format": {
      "enum": [
        "glb",
        "stl",
        "3mf",
        "obj",
        "ply"
      ],
      "type": "string",
      "description": "The file to make; glb when omitted."
    },
    "origin": {
      "enum": [
        "bottom",
        "center"
      ],
      "type": "string",
      "description": "Move the origin to the bottom centre (default when resizing) or the centre."
    },
    "repair": {
      "type": "boolean",
      "description": "Repair for printing first: weld, drop broken and duplicate faces and loose debris, fix flipped faces, fill holes. stl, 3mf, obj, ply only; up to 200,000 triangles (simplify first for more)."
    },
    "asset_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "A GLB file of one of your Library models."
    },
    "simplify": {
      "anyOf": [
        {
          "type": "number",
          "const": 1
        },
        {
          "type": "number",
          "const": 0.75
        },
        {
          "type": "number",
          "const": 0.5
        },
        {
          "type": "number",
          "const": 0.25
        }
      ],
      "description": "Share of triangles to keep: 1 (default), 0.75, 0.5 or 0.25."
    },
    "project_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1
    },
    "compression": {
      "enum": [
        "meshopt",
        "none"
      ],
      "type": "string",
      "description": "GLB only: meshopt (default, smallest) or none."
    },
    "resize_height": {
      "type": "number",
      "maximum": 1000,
      "description": "Scale the model to this height, in metres.",
      "exclusiveMinimum": 0
    },
    "resize_longest_side": {
      "type": "number",
      "maximum": 1000,
      "description": "Scale the model so its longest side is this long, in metres. Not with resize_height.",
      "exclusiveMinimum": 0
    }
  }
}
    arguments 89 lines
  • viewer_job_state unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "maxLength": 191,
      "minLength": 1,
      "description": "The job id returned by generate_3d."
    }
  }
}
    arguments 15 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id f46c255967a221d0.

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_ for your README measured, not declared

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_ how we know
card completeness
100%

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_ record

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proxied calls
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success rate
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median latency
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work
attempts
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accepted
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rejected
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acceptance rate
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settled without a human
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