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650,404 tools. Updated 2026-10-13 05:02

"Resources and Tools for 3D Creation" matching MCP tools:

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  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Turn text or an image into an animation-ready 3D model (GLB): generate, rig, animate, retexture.

  • Connect to a nomos controller by name to access its tools and resources, automatically disconnecting any previously connected controller.
    MIT
  • Generate a textured 3D model (GLB) from a photo of an object. Add up to three extra angles for accuracy; use an image first for text-to-3D.
    MIT
  • List and filter available capabilities—datasets, tools, resources, prompts, skills, and runtime libraries—with kind, provider, binding, and execution owner. Narrow by type, provider, or binding.
    Apache 2.0
  • List dedicated clusters for an organization to get cluster IDs, names, lifecycle status, and provisioned resources before creating or managing clusters.
    MIT
  • Decide between standalone media tools and workflows: choose generate_* tools for automatic single-asset routing or workflow tools for full editable professional video.
    MIT
  • Lists behavioral eval sets in the workspace, returning their IDs, names, versions, and creation dates to help you target the right set for update or publish actions.
    MIT
  • Generate a host-readable execution plan for a Pack using selected local skills, MCP tools, resources, prompts, or HTTPS APIs. Tetrees returns audited actions; extensions run on the client.
    MIT
  • Inspect STL files for watertight manifoldness, triangle count, bounding box, volume, and filament estimate to ensure 3D print readiness.
    MIT
  • Generate 3D models from a text prompt or an image, save to Polar Cloud, and retrieve the object ID for further use.
    MIT
  • Retrieve recent 3D motion generations from your account with pagination. Sort by creation time ascending or descending, and use tokens to page through results.
    MIT
  • Create reusable templates to standardize sample creation with predefined fields, validation rules, and default values for consistent research data management.
    AGPL 3.0