thicken
Related Servers
Alternatives to thicken
- AlicenseAqualityAmaintenanceTell your AI agent what you want a model to do. It searches Hugging Face for each part of the job and tells you which parts already exist there: which are an exact fit, which to fine-tune, which to train, and which are just code. Every model it names is real, current, and sized for your hardware.3623 npm1MIT
- AlicenseAqualityAmaintenanceOdds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.3480 npm1MIT
Related Servers
- AlicenseNot gradedqualityCmaintenanceTurns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.3AGPL 3.0
- AlicenseAqualityDmaintenanceTurns a single concept image into a game-ready textured 3D model (GLB) locally on Apple Silicon by wrapping Hunyuan3D-MLX, with tools for generation, finishing, preview, and setup diagnostics.45MIT
- AlicenseAqualityCmaintenanceTurns iPhone LiDAR scans, depth maps, room scans and reference-card photos into real-world measurements with uncertainty ranges, letting an AI client size cookware and scale recipes, check room and doorway fit, classify Amazon FBA size tiers and fees, and estimate moving or storage volume. It reports a ± and confidence level with every figure and states plainly when it is guessing.34MIT
- AlicenseAqualityBmaintenanceEnables multimodal AI to convert photos with reference objects into parametric OpenSCAD models and watertight 3D-printable STL files, including calibration, part generation, and printability inspection.47MIT
- FlicenseAqualityDmaintenanceGenerates printable 3D CAD models (e.g., bottle caps) from photos by combining client-side dimension extraction with CadQuery precision modeling, mesh repair, and optional AI-based visual mesh generation via Meshy.41-
- AlicenseNot gradedqualityBmaintenanceEnables AI clients to turn text prompts and 2D photos into watertight 3D-printable figurines, keyed multi-part assemblies, and game-ready PBR assets entirely on local consumer hardware within a 16 GB RAM/VRAM budget. It exposes 16 native tools covering image-to-3D generation, pose canonicalization, auto-split assembly, retopology, texture baking, and hardware tier detection over stdio.MIT
TDQS
Scored across 2 tools
thicken_make and thicken_profiles have clearly distinct purposes: one generates a 3D model plus metadata, while the other only lists available profiles. There is no meaningful overlap that would cause an agent to misselect between them.
Both names use a consistent thicken_ prefix and snake_case, which is readable and predictable. The minor deviation is that thicken_make is action-oriented while thicken_profiles is resource-oriented, but the set is still coherent.
Only two tools are provided, making the surface quite thin even for a narrow generation workflow. Each tool has a clear role, but the set sits at the borderline of being too minimal.
The core workflow is covered: profiles help choose what can be made, and thicken_make creates the model plus metadata. Minor gaps exist around inspecting generated outputs or separately querying model details, but agents can work around them from the returned paths and facts.