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kleinicke/ply-visualizer

kleinicke/ply-visualizer

3D Visualizer View, compare and inspect point clouds, meshes, gaussian splats, depth maps and disparity images in your editor or browser — with Rust and WebAssembly doing the heavy decoding, so files with millions of points open in seconds.
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Config template (adjust for your client)
claude mcp add ply-visualizer -- npx -y ply-visualizer
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
21 ★ · kleinicke/ply-visualizer · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 21 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository kleinicke/ply-visualizer;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

3D Visualizer

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

View, compare and inspect point clouds, meshes, gaussian splats, depth maps and
disparity images in your editor or browser — with Rust and WebAssembly doing the
heavy decoding, so files with millions of points open in seconds.
Highlights
- Open large point clouds quickly, including files with millions of points
- Decode the demanding formats in Rust/WebAssembly — LAS, LAZ, E57 and TIFF —
alongside Rust geometry kernels for camera models and scan registration
- Compare multiple point clouds in one view and toggle them independently
- Convert depth and disparity images into point clouds
- Render gaussian splat reconstructions as sorted splats or center point clouds
- Inspect meshes as surfaces, wireframes, points and normals
- Use Eye-Dome Lighting and brightness correction for clearer uncolored geometry
- Measure distances and adjust camera, rotation center and view parameters
- Use the shared viewer on the website
- Try the local
Python package and command-line viewer for 3D
files, NumPy/PyTorch arrays and inline local notebooks
(uv add 3d-visualizer)
- Connect AI agents through the local MCP server to
open scenes, control the camera and inspect rendered screenshots
Supported formats
| Type | Formats |
| ---------------------- | ---------------------------------------------------------------------------------------------- |
| Point clouds | PLY, XYZ, XYZN, XYZRGB, PCD, PTS, NPY, LAS, LAZ, E57, KITTI BIN, Stonex X3A/X3R (experimental) |
| Meshes | PLY, OBJ, STL, OFF, GLTF, GLB, FBX, DAE (Collada), 3DS |
| Gaussian splats | 3DGS PLY, SPZ, SPLAT, KSPLAT, SOG |
| Depth/disparity images | TIFF, PNG, PFM, NPY, NPZ |
| 3D Body Poses | JSON pose data (experimental) |
| Camera Profiles | JSON pose data (experimental) |
Model animation playback and remote URL loading are supported; see
model details and
remote files.
Because .bin and .json are generic extensions, neither is opened with the 3D
Visualizer by default. For KITTI BIN, use **Open With...** or right-click and
choose **Open with 3D Visualizer**. For a supported JSON pose, right-click and
choose **Load JSON as 3D Pose**.
Features
Depth and Disparity to Point Cloud
Convert depth or disparity images into point clouds. Projection settings include
fx, fy, cx, cy, camera distortion models, mono depth scale and bias, PNG
int16 scale and disparity offset.
Eye-Dome Lighting
Use Eye-Dome Lighting to improve depth perception, especially for uncolored
point clouds.
Multiple Point Clouds
Load multiple point clouds into the same view, toggle them independently and
switch between them with Shift-click.
Mesh Inspection
Inspect mesh files with controls for surface, wireframe, points and normals.
This is useful when checking geometry, topology or exported reconstruction
results without leaving the editor.
Gaussian Splatting
Open 3D Gaussian Splatting reconstructions (3DGS PLY, SPZ, SPLAT, KSPLAT, SOG)
and render them as real sorted splats via Spark, or as a
point cloud of the gaussian centers with colors derived from the
spherical-harmonics coefficients. Switch per file with the **✨ Splats** button
in the Files panel. Measurement and picking keep working on the gaussian centers
Source
awesome · https://github.com/kleinicke/ply-visualizer
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