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    Fusion Mcp Server

    Remote control solution for Fusion 360 using client-server architecture. Features JSON socket communication, modular design with Python server and client library, plus Fusion 360 add-in. Enables command monitoring, remote execution, and model data retrieval for automation workflows.

    24 stars
    Python
    Updated Oct 9, 2025

    Table of Contents

    • Overview
    • Components
    • Installation
    • Server and Client
    • Fusion 360 Add-in
    • Usage
    • Starting the Server
    • Connecting Fusion 360 to the Server
    • Using the Client
    • Protocol
    • Message Types
    • Extension
    • License
    • Contributing
    • Notes

    Table of Contents

    • Overview
    • Components
    • Installation
    • Server and Client
    • Fusion 360 Add-in
    • Usage
    • Starting the Server
    • Connecting Fusion 360 to the Server
    • Using the Client
    • Protocol
    • Message Types
    • Extension
    • License
    • Contributing
    • Notes

    Documentation

    Fusion 360 MCP Server

    Master Control Program (MCP) server for Autodesk Fusion 360 that enables remote control and automation of Fusion 360 operations.

    Overview

    This project implements a client-server architecture that allows external applications to interact with Fusion 360. The server acts as a bridge between clients and the Fusion 360 API, enabling remote execution of commands and retrieval of model information.

    Components

    The project consists of three main components:

    1. MCP Server (server.py): A standalone Python server that listens for connections from clients and communicates with Fusion 360.

    2. MCP Client (client.py): A Python client library that connects to the MCP server and provides methods for sending commands and receiving responses.

    3. Fusion 360 Add-in (fusion360_mcp_addin.py): A Fusion 360 add-in that connects to the MCP server and provides the actual integration with the Fusion 360 API.

    Installation

    Server and Client

    1. Clone this repository or copy the files to your desired location.

    2. Make sure you have Python 3.6+ installed.

    3. No additional Python packages are required for basic functionality as the implementation uses only standard library modules.

    4. To enable LLM features, install the optional openai package:

    bash
    pip install openai

    Fusion 360 Add-in

    1. Copy the entire folder containing fusion360_mcp_addin.py, client.py, and the resources directory to your Fusion 360 AddIns directory. Ensure the resources/MCPIcon folder contains the required icon files (32x32-normal.png and 16x16-normal.png).

    2. In Fusion 360, open the "Scripts and Add-ins" dialog (press Shift+S or find it in the "Design" workspace under "Utilities").

    3. On the "Add-ins" tab choose Load from my computer ("Load from Device" on some versions) and select this folder. Selecting the folder starts the add-in.

    4. Click "Run" or enable "Run on Startup" to have it automatically load when Fusion 360 starts.

    Usage

    Starting the Server

    1. Open a command prompt or terminal.

    2. Navigate to the directory containing the server files.

    3. Run the server:

    code
    python server.py

    By default, the server will listen on 127.0.0.1:8080. You can modify the host

    and port in the code if needed. Set the OPENAI_API_KEY environment variable if

    you plan to use the LLM integration.

    Connecting Fusion 360 to the Server

    1. Start Fusion 360 and make sure the MCP add-in is running.

    2. In Fusion 360, look for the "MCP Controls" panel.

    3. Click the "Connect to MCP Server" button.

    4. Enter the server host and port, then click OK.

    5. If successful, you will see a confirmation message.

    Using the Client

    You can use the provided client implementation to connect to the server and interact with Fusion 360:

    python
    from client import MCPClient
    
    # Create and connect the client
    client = MCPClient('127.0.0.1', 8080)
    if client.connect():
        # Get model information
        client.get_model_info()
        
        # Execute a Fusion 360 command
        client.execute_fusion_command('create_circle', {
            'center': [0, 0, 0],
            'radius': 10
        })
        
        # Disconnect when done
        client.disconnect()

    Protocol

    The server and clients communicate using a simple JSON-based protocol over TCP sockets. Each message is a JSON object with at least a type field indicating the message type.

    Message Types

    • fusion_command: Execute a command in Fusion 360
    • get_model_info: Request information about the current model
    • command_result: Response containing the result of a command execution
    • model_info: Response containing model information
    • llm_request: Request text generation from the configured LLM
    • llm_result: Response containing LLM output

    Extension

    You can extend the server and add-in to support additional functionality:

    1. Add new message types to the protocol

    2. Implement handlers for these message types in the server

    3. Add corresponding methods to the client

    4. Implement the actual functionality in the Fusion 360 add-in

    License

    This project is licensed under the MIT License. See the LICENSE file for details.

    Contributing

    Contributions are welcome! Please feel free to submit a Pull Request.

    Notes

    • Fusion 360 (2601.1.34)MCP Add-in refuses to install with errors indicating more than one file.
    • Create a new add-in (python), edit, copy the fusion360_mcp_addin.py source to the new file, save, open the new file location and copy the client.py and resource folder to that location, restart Fusion 360.

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