3D Visualizer MCP Server
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. It runs locally over stdio via the published package.
People who work with 3d visualization, colmap and depth estimation and want it reachable from Claude, Cursor, VS Code, or another MCP client. The project is written in TypeScript.
VERIFIED ACTIVE
LAST COMMIT 2026-09-10 · ★ 18 · #49 OF 106 MAINTAINED AI & ML · VERIFIED 2026-09-18
MIT · TypeScript servers · how we verify → /methodology
01 · Install 3D Visualizer
Claude Code
claude mcp add kleinicke-ply-visualizer -- uvx 3d-visualizer Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"kleinicke-ply-visualizer": {
"command": "uvx",
"args": [
"3d-visualizer"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions
license MIT - declared in the repository
pypi package 3d-visualizer - check the name against the project README before installing (PyPI has no namespace ownership)
registry namespace io.github.kleinicke is GitHub-verified and matches the repo owner
03 · What 3D Visualizer can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
Latest releases
python-v0.4.2 · 2026-09-08
3D 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…
v.1.7.0 · 2026-07-19
Internal 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…
v1.0.0 · 2025-08-10
04 · Who maintains 3D Visualizer
3D Visualizer is maintained by kleinicke. It's the only MCP server we track from this author; the repo dates to Jun 2025.
05 · Facts
- repository
- github.com/kleinicke/ply-visualizer
- website
- https://3d.f-kleinicke.de/
- category
- AI & ML - ranked #49 of 106 actively-maintained AI & ML servers as of 2026-09-18.
- release cadence
- 2 releases in the last 90 days (latest 2026-09-08)
- registry
- io.github.kleinicke/3d-visualizer (active, first published 2026-09-08 · 2 versions)
- packages
- pypi:3d-visualizer
06 · 3D Visualizer FAQ
What is 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. It runs locally over stdio via the published package.
Is 3D Visualizer still maintained?
Yes - as of 2026-09-18, its last commit was 2026-09-10 and it shipped 2 releases in the last 90 days. We re-verify nightly.
How do I install 3D Visualizer?
Run `uvx 3d-visualizer`. You can also paste the ready-made client config above.
Does 3D Visualizer run locally?
Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to 3D Visualizer
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