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ritn3d-mcp

ritn3d-mcp

by printplan3d
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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.

Install

pip install ritn3d-mcp

Related MCP server: TopoSpatial-CAD MCP

Use with Claude Desktop

Add 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.

Use with Claude Code

claude mcp add ritn3d ritn3d-mcp

Tools exposed

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

Resources exposed

URI

Content

ritn3d://capability-card

Machine-readable summary of what Ritn3D does, accuracy, pricing

ritn3d://failure-playbook

Common failure modes and mitigations

Example agent flow

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.

What this server does NOT do

  • Run inference. The Ritn3D wall-detection model lives on Ritn3D's servers and is reached through the web app.

  • Bypass the Ritn3D subscription. Pricing is enforced server-side.

  • Expose the rendering pipeline internals.

  • Provide a render queue or job-tracking API.

The intent is to make agents better citizens of the Ritn3D workflow, not to replicate it.

Source

Built by the Ritn3D team. Same group that maintains ritn3d-stl-tools and ritn3d-floorplan-eval.

License

MIT — see LICENSE.

Available Tools

3 tools
estimate_complexityA

Heuristic estimate of a floor plan's detection complexity. Reads basic image stats (resolution, brightness range, edge density) and returns a label (simple/moderate/complex) plus a numeric score. Useful for batch routing and for setting user expectations about how many corrections may be needed.

Inputs: path (required).

estimate_render_timeA

Rough estimate of how long the Ritn3D pipeline will take to render a 3D model from a given plan. Returns a low/expected/high range in seconds. Useful for telling users 'this will take about a minute' versus 'this may take five minutes.'

Inputs: complexity (required).

validate_floor_plan_imageA

Pre-flight check on a floor plan image before sending it to Ritn3D. Reports format, dimensions, file size, color mode, and heuristic warnings (too small, wrong aspect, low contrast). Use this before uploading via the Ritn3D web app or mobile app to catch obvious problems early.

Inputs: path (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: one validates the image format, one estimates complexity, and one estimates render time. There is no functional overlap.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (validate_, estimate_). The naming is predictable and clear.

    Tool Count5/5

    With 3 tools, the server is well-scoped for its purpose as a pre-processing helper. The count is appropriate and not excessive.

    Completeness4/5

    The tools cover essential pre-flight checks and estimations. The missing actual rendering submission is likely handled externally, so no critical gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

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