Fusion-360-MCP-Server by NoosaHydro - MCP Server

Fusion 360 MCP Server

Control Fusion 360 with AI through Model Context Protocol (MCP)

Click above to watch AI create "Fusion Rocks!" in 3D

What This Is

A Fusion 360 add-in that exposes Fusion's entire API to AI agents via the Model Context Protocol. No hardcoded commands—just a generic API executor that lets AI do anything Fusion can do.

Key Features

🤖 100% Generic API - Works with ANY Fusion 360 command, no custom handlers needed
🔗 MCP Protocol - Industry-standard AI-to-tool communication (Anthropic, OpenAI, etc.)
🎯 Full Module Path Support - Direct access to static methods like adsk.core.Point3D.create()
💾 Context Management - Store and reuse objects across multiple commands using $variables
🐛 Enhanced Error Reporting - Detailed tracebacks and hints for AI debugging
⚡ Real-Time Execution - See designs appear as AI creates them

What AI Can Do

Create parametric sketches with precise dimensions
Add text and extrude it to 3D
Generate mounting holes, brackets, and mechanical parts
Execute any Fusion 360 API command through natural language
Build complex multi-step designs in seconds

Installation

Prerequisites

Download MCP-Link Server
Get the latest release from: https://github.com/AuraFriday/mcp-link-server/releases/tag/latest

Clone This Repository

git clone https://github.com/NoosaHydro/Fusion-360-MCP-Server.git

Load as Fusion 360 Add-in
- Open Fusion 360
- Press Shift+S to open Scripts and Add-Ins
- Click the Add-Ins tab
- Click the green + button next to "My Add-Ins"
- Navigate to the cloned repository folder
- Select the folder and click OK
- Click Run to start the add-in

Configuration

The add-in auto-connects to the MCP server on startup. Check the TEXT COMMANDS window in Fusion 360 to see connection logs.

Quick Start Example

Once installed, AI can execute commands like:

# Create a sketch
fusion360.execute({
  "api_path": "design.rootComponent.sketches.add",
  "args": ["design.rootComponent.xYConstructionPlane"],
  "store_as": "my_sketch"
})

# Add a rectangle
fusion360.execute({
  "api_path": "$my_sketch.sketchCurves.sketchLines.addTwoPointRectangle",
  "args": [
    {"type": "Point3D", "x": 0, "y": 0, "z": 0},
    {"type": "Point3D", "x": 10, "y": 5, "z": 0}
  ]
})

How It Works

Add-in loads and connects to local MCP server
Registers itself as a fusion360 tool via reverse connection
AI sends commands specifying API paths and arguments
Generic handler resolves paths, constructs objects, executes API calls
Results returned to AI with full context and type information

Architecture

MCP-Link Server - Routes AI requests to the add-in
Generic API Handler (mcp_integration.py) - Dynamically executes any Fusion API call
Context Manager - Stores intermediate objects for multi-step operations
Enhanced Reporting - Provides detailed success/error information for AI

Supported Patterns

API Paths

"design.rootComponent.sketches.add"              # Access via app object
"$sketch.sketchCurves.sketchCircles.addByCenterRadius"  # Use stored objects
"adsk.core.Point3D.create"                       # Full module paths
"adsk.core.ValueInput.createByString"            # Static methods

Object Construction

{"type": "Point3D", "x": 5, "y": 10, "z": 0}    # Construct from dict
"$my_sketch.originPoint"                         # Reference stored object
0                                                 # Enum as integer

Context Storage

"store_as": "my_object"                          # Store result as $my_object
"$my_object.someMethod"                          # Use in next command

Limitations

Enum values must be passed as integers (e.g., 0 for NewBodyFeatureOperation)
Some complex objects need specific construction patterns
Context is lost when add-in is reloaded (working as intended for session isolation)

Demo Script

See for complete working examples, including:

Parametric mounting plate with precision holes
3D extruded text ("Hello Tiffany" demo)
Common patterns and best practices

Use Cases

AI Design Assistants - Natural language to CAD
Automated Toolpath Generation - AI-driven CAM workflows
Design Exploration - Rapidly iterate parametric variations
Educational Tools - Learn Fusion API through AI guidance
Batch Operations - Automate repetitive modeling tasks

Technical Details

Built with Fusion 360's native Python API
Uses Server-Sent Events (SSE) for MCP connection
JSON-RPC protocol for command execution
Zero overhead on Fusion performance
All operations run locally (no cloud dependencies)

Future Enhancements

Semantic search integration for auto-documentation
Batch operation optimization
Undo/redo helpers
Extended enum handling
More intuitive object construction patterns

License

MIT License - See LICENSE file for details

Author

Created by NoosaHydro
With 15,000+ users trusting previous Fusion 360 add-ins

NoosaHydro/Fusion-360-MCP-Server