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Reer

AI CAD agent with open-source MCP server integrations

AI-powered CAD agent that connects designers to multiple CAD platforms (Rhino, Revit, Blender, Fusion 360, etc.) through Model Context Protocol (MCP) servers. Enables Claude and other AI agents to directly control CAD software via natural language.

Pricing
free tier, contact the vendor
Alternatives
aurivus, BIMLOGiQ, Dynamo
Who it's for
Architecture, Structural Engineering, MEP Engineering
Not publicly specified raisedEarly StageOpen Source (MIT (open-source MCP servers))
Founded 2024 · Not publicly specified (open-source and commercial beta)
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Architects and engineers spend 60%+ of CAD work on repetitive, non-creative tasks like object placement, parameter adjustments, and scene manipulation. Manual CAD workflows waste hours per day across design teams.

The Solution

Reer provides open-source MCP server integrations that connect Claude AI and other LLM clients directly to CAD applications. Designers interact with their CAD tools via natural language, while AI handles code generation and model manipulation behind the scenes.

USAGE

How You Use It

Delivery Method
SaaSAPIPlugin
Integrations
RhinoRevitBlenderSketchUpFusion 360Cinema4DAutoCADOnshapeSolidWorksFreeCADGrasshopperClaude AICursor IDE
Disciplines
Architecture, Structural Engineering, Mep Engineering
Workflows
Data & Automation
Project Phases
Schematic Design, Design Development, Construction Documentation
Project Types
Commercial, Residential, Mixed-Use, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Natural language instructions, CAD file (Rhino, Revit, Blender, etc.)
Optional:Grasshopper definitions, Object parameters, Layer information, Scene context
Formats:.rvt (Revit), .3dm (Rhino), .blend (Blender), .dwg (AutoCAD), IFC, Fusion 360 models
Output
What you get
Format:Direct CAD model modifications and scene updates
Fields:Generated 3D objects, Modified geometry and parameters, Layer organization, Scene metadata, Viewport captures, GHPython code (Grasshopper), AutoLISP code (AutoCAD)
Algorithm
How it works
Model:Claude (via MCP) or other LLM clients with MCP support
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Not publicly specified (inferred: local-first model execution on user machine via MCP)
Training:Model Context Protocol is designed for isolated data; customer CAD files not used for training LLM
Compliance:GDPR compliant (inferred from open-source nature and privacy-first MCP architecture)
API
Integration
Endpoint:Model Context Protocol (MCP) server endpoints (specific URLs per CAD platform)
Method:MCP protocol (two-way communication via local server)
USE CASES

Use Cases

  • ·Automate repetitive CAD tasks using natural language (object placement, parameter sweeps)
  • ·Accelerate schematic design iteration by generating design variations via prompt
  • ·Create parametric models and GHPython automations through conversational interface
  • ·Perform scene analysis and metadata extraction from complex 3D models
  • ·Multi-CAD workflow automation (Rhino to Revit translation assistance)
  • ·Design documentation generation with AI-assisted visualization
PRICING

Pricing

Free
Open-source MCP servers available on GitHub (MIT license)
Pro
Commercial Reer IDE in beta (pricing not announced)
Enterprise
Not specified
Sources & Research NotesResearch date: 2026-02-01
Data Sources (10)
Fields Checked (16)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, isOpenSource, license, maturityStage, yearFounded, input-output-specs, algorithm-approach, control-features, useCases, mcp-architecture
Not Found (10)
pricing-commercial, customer-count, funding-amount, soc2-compliance, privacy-policy-detailed, data-retention-specifics, api-rate-limits, webhook-support, accuracy-metrics, enterprise-customers
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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