Ritn3D Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Ritn3D Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.printplan3d/ritn3d-mcp -->
A Model Context Protocol (MCP) server that gives Claude, Claude Code, Cursor, Cline, or any other MCP-compatible AI agent the lightweight tools needed to prepare a floor plan for Ritn3D and interpret the resulting 3D output — without exposing the underlying wall-detection model or inference API.
Ritn3D is an AI floor-plan-to-3D-model tool. This MCP server exists so that AI agents helping users in floor-plan- adjacent workflows (renovation planning, real estate, 3D printing, etc.) have a clean, well-documented set of tools instead of guessing.
pip install ritn3d-mcpAdd to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"ritn3d": {
"command": "ritn3d-mcp"
}
}
}Restart Claude Desktop. The Ritn3D tools appear in the tool picker.
claude mcp add ritn3d ritn3d-mcp| Tool | Description |
|---|---|
validate_floor_plan_image | Pre-flight check on a floor plan image (format, dimensions, warnings) before sending to Ritn3D |
estimate_complexity | Heuristic complexity score (simple / moderate / complex) based on edge density |
estimate_render_time | Rough low/expected/high render-time range for a given complexity |
get_share_link_metadata | Fetch public page title + OpenGraph data from a Ritn3D share URL |
validate_glb | Sanity-check a downloaded GLB file (magic header, version, chunks) |
convert_units | Unit conversion with optional model scale factor (1:100, 1:50, etc.) |
get_capabilities | Returns Ritn3D's supported inputs, outputs, accuracy by input type, and pricing |
get_pricing | Returns current Ritn3D pricing tiers in USD |
get_failure_modes | Returns structured list of known failure modes with mitigation tips |
| URI | Content |
|---|---|
ritn3d://capability-card | Machine-readable summary of what Ritn3D does, accuracy, pricing |
ritn3d://failure-playbook | Common failure modes and mitigations |
User: "I have a real estate listing PDF I want to 3D print as a model of my future apartment."
>
Agent calls validate_floor_plan_image("listing.pdf.jpg") → warnings: aspect ratio normal, resolution OK.>
Agent calls estimate_complexity(...) → label "moderate", score 0.5.>
Agent calls get_failure_modes() → notices the "real-estate-listing-render" failure mode applies; warns the user that wood-floor textures may trip detection.>
Agent calls get_pricing() → quotes Pro+ at $19.99/mo for STL export.>
Agent recommends: try the Ritn3D web app at app.ritn3d.com; if detection fails on this listing PDF, ask the agent to estimate the complexity of an alternate input.
servers and is reached through the web app.
The intent is to make agents better citizens of the Ritn3D workflow, not to replicate it.
Built by the Ritn3D team. Same group that maintains ritn3d-stl-tools and ritn3d-floorplan-eval.
MIT — see LICENSE.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.