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MCP server · Cloud

3D Visualizer

by · github.com/kleinicke/ply-visualizer

Inspect, compare and export point clouds, meshes and calibrated depth data with inline 3D previews.

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37Low

Scored a month ago · breakdown

About 3D Visualizer

3D Visualizer is an MCP server published by kleinicke in the Cloud category: inspect, compare and export point clouds, meshes and calibrated depth data with inline 3D previews.

Recent commit activity is the strongest signal that reported issues will get attention.

Install

uvx
uvx ply-visualizer
pip
pip install ply-visualizer

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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Releases

python-v0.4.23D Visualizer for Python and MCP 0.4.2 · 8 Sep 20263D Visualizer is now available on PyPI as 3d-visualizer. The Python import remains `ply_visualizer`; existing `ply-viewer*` command aliases are retained. Install the Python library with `uv add 3d-visualizer`. Start MCP with: uvx…
v.1.7.0v1.7.0 · 19 Jul 2026Internal refactoring - move to svelte Speedup for computing point clouds out of depth Add double click onto empty region to automatically fit to point cloud Color point clouds by any extra PLY scalar property (e.g. confidence, error) via…
v1.0.0v1.0.0 · 10 Aug 2025
Questions

About 3D Visualizer

How do I install 3D Visualizer?

Run uvx ply-visualizer, then add the server to your MCP client's configuration.

Is 3D Visualizer safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is 3D Visualizer still maintained?

Yes — the latest release is python-v0.4.2 (8 Sep 2026), and the last commit was a month ago. The repository has 0 stars.