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Installing MPF on Mac

Last updated Mar 10, 2024

MPF 0.80 is Coming Soon

This installation guide is for MPF 0.57 and the legacy MC, which is being replaced in the upcoming MPF 0.80 with the Godot MC. If you are just getting started with MPF, we recommend you install MPF 0.80 instead.

Install Python

MPF 0.57 works on macOS running on both Intel and Apple Silicon (M1/M2 processors). For new installs, we recommend using Python 3.11, and that's what these instructions will show. (MPF will work with Python 3.8 - 3.11.)

To check if you have python, type the following into your terminal:

python3 --version

You should see some output like Python 3.9.13, which means you have python installed and it's a supported version. If so, proceed to the next step.

To install Python on a Mac:

  1. If you do not have Python, install Python 3.9.13 from If you have an M1/M2 Mac, be sure to get the Universal installer, not the Intel one.

    macOS 64-bit Intel-only installer (

    macOS 64-bit universal installer (

    Choose the default installation location. If you want to install to a custom location, remember that location for later steps.

  2. Install Homebrew ( Open your command terminal and paste in this command:

    /bin/bash -c "$(curl -fsSL"

    This will also install the Xcode command line tools if you don't have them. This process might take some time, so be patient.

  3. Use Homebrew (or 'brew') to install the libraries and other support files MPF needs:

    brew install SDL2 SDL2_mixer SDL2_image gstreamer

Create a Virtual Environment

It's strongly recommended to create a virtual environment for MPF, which will keep the installed packages from conflicting with other applications on your computer. Before proceeding, follow the steps on the virtual environment installation guide

Install MPF

First, activate the virtual environment you setup in the previous step.

  1. Verify that pip is installed. If you installed Python from, then pip should have been installed as well. You can verify this by running pip --version or pip3 --version in your terminal. If it's not installed, you can install it using python -m ensurepip.

  2. Use pip to install MPF:

    pip install "mpf"

    or if you want to include the Text UI for debugging in the console, install with the CLI parameter

    pip install mpf[cli]

  3. Use pip to install MPF-MC:

    pip install mpf-mc

  4. (Optional) Use pip to install the MPF Monitor (Note that the latest version requires PyQt6, priors required PyQt5):

    pip install mpf-monitor

Note: For the commands that use pip, if you run into permission issues, try prefixing the command with sudo (i.e., sudo pip install "mpf[cli]"). Be aware that sudo allows the command to run with root permissions, which can pose a security risk if used carelessly.

Also, if the MC doesn't load due to an error that has to do with gstreamer, try adding homebrew's gstreamer install location to the DYLD_LIBRARY_PATH environment variable, like this (but check the version number since that might vary:

export DYLD_LIBRARY_PATH=/usr/local/Cellar/gstreamer/1.22.5/lib:$DYLD_LIBRARY_PATH

If this works, you'll need to update your ~/.zshenv file (or create one) with that same command to ensure that variable is set for each terminal window launched. (ZSH is the shell for MacOS Catalina and onward. If you're somehow still running something older, you'd edit the ~/.bash_profile file instead).

Testing your MPF installation with the mpf-examples repo

Now that MPF is installed, you probably want to test it out to make sure it worked properly. One of the easiest ways to do this is to use the mpf-examples repo from GitHub. This repo contains a bunch of example MPF projects.

Download the mpf-examples repo from

Unzip it, and then back in the terminal, change into the mpf-examples folder (or whatever folder you just unzipped that into), then change into the demo_man folder, then run mpf both. You should see the DMD window pop up.

At this point, MPF is ready to go!

Keeping MPF up-to-date

Once you have MPF installed via the procedure above, you can keep it up-to-date by running the pip commands from above which you used to install the MPF components, but with the additional --upgrade flag.

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