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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.
Not publicly specified raised 🚀 Early Stage 💚 Open Source (MIT (open-source MCP servers))
Founded 2024 • Not publicly specified (open-source and commercial beta)
Why This Tool Exists
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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.
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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.
How You Use It
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Delivery Method
SaaS API Plugin
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Integrations
Rhino Revit Blender SketchUp Fusion 360 Cinema4D AutoCAD Onshape SolidWorks FreeCAD Grasshopper Claude AI Cursor IDE
Disciplines
Architecture, Structural Engineering, MEP Engineering
Project Phases
Schematic Design, Design Development, Construction Documentation
Project Types
Commercial, Residential, Mixed-Use, Industrial
Data Transparency
Exactly what this tool uses and how
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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
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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)
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Algorithm
How it works
Model: Claude (via MCP) or other LLM clients with MCP support
Accuracy: Not publicly specified
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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)
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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
- • 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
Free
Open-source MCP servers available on GitHub (MIT license)
Pro
Commercial Reer IDE in beta (pricing not announced)
Enterprise
Not specified
📚 Research Sources & Data Quality Last verified: 2026-02-01
Data Sources (10)
- 🔗 https://www.reer.co/ (official website)
- 🔗 https://www.reer.co/solution (CAD MCP servers page)
- 🔗 https://github.com/reer-ide/rhino_mcp (open-source RhinoMCP repository)
- 🔗 https://github.com/reer-ide (GitHub organization)
- 🔗 https://x.com/Reer_cad (Twitter/X company account)
- 🔗 https://innovationlabs.harvard.edu/venture/reer (Harvard Innovation Labs)
- 🔗 https://www.anthropic.com/news/model-context-protocol (MCP specification)
- 🔗 https://docs.claude.com/en/docs/mcp (Claude MCP documentation)
- 🔗 Medium articles and tech blogs on RhinoMCP and CAD MCP integration
- 🔗 Snyk: 9 MCP Servers for Computer-Aided Drafting (CAD) with AI
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Verified Data (16)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, isOpenSource, license, maturityStage, yearFounded, input-output-specs, algorithm-approach, control-features, useCases, mcp-architecture
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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
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.