This project implements a Matter Controller Server over WebSockets using the official Matter (formerly CHIP) SDK as a base and provides both a server and client implementation.

The goal of this project is primarily to have Matter support in Home Assistant but its universal approach makes it suitable to be used in other projects too.

Got questions?

You have several options to get them answered:

• The Home Assistant Community Forum.
• The Home Assistant Discord Chat Server.
• Join the Reddit subreddit in /r/homeassistant.

If you experience issues using Matter with Home Assistant, please open an issue report in the Home Assistant Core repository.

You may also open issues in this repository if you are absolutely sure that your issue is related to the Matter Server component.

We strongly recommend using Home Assistant OS along with the official Matter Server add-on to use Matter with Home Assistant. The Matter integration automatically installs the Python Matter Server add-on. Please refer to the Home Assistant documentation. Home Assistant OS has been tested and tuned to be used with Matter and Thread, which makes this combination the best tested and largely worry free environment.

If you still prefer a self-managed container installation, we do offer an official container image. Please keep in mind that you might experience communication issues with Matter devices, especially Thread based devices. This is mostly because the container installation uses host networking, and relies on the networking managed by your operating system.

Make sure you run the container on the host network. The host network interface needs to be in the same network as the Android/iPhone device you are using for commissioning. Matter uses link-local multicast protocols which do not work across different LANs or VLANs.

The host network interface needs IPv6 support enabled.

For communication through Thread border routers which are not running on the same host as the Matter Controller server to work, IPv6 routing needs to be properly working. IPv6 routing is largely setup automatically through the IPv6 Neighbor Discovery Protocol, specifically the Route Information Options (RIO). However, if IPv6 Neighbor Discovery RIO's are processed, and processed correctly depends on the network management software your system is using. There may be bugs and caveats in processing this Route Information Options.

In general, make sure the kernel option CONFIG_IPV6_ROUTER_PREF is enabled and that IPv6 forwarding is disabled (sysctl variable net.ipv6.conf.all.forwarding). If IPv6 forwarding is enabled, the Linux kernel doesn't employ reachability probing (RFC 4191), which can lead to longer outages (up to 30min) until network changes are detected.

If you are using NetworkManager, make sure to use at least NetworkManager 1.42. Previous versions lose track of routes and stale routes can lead to unreachable Thread devices. All current released NetworkManager versions can't handle multiple routes to the same network properly. This means if you have multiple Thread border routers, the fallback won't work immediately (see NetworkManager issue #1232).

We currently don't have experience with systemd-networkd. It seems to have its own IPv6 Neighbor Discovery Protocol handling.

If you don't use NetworkManager or systemd-networkd, you can use the kernel's IPv6 Neighbor Discovery Protocol handling.

Make sure the kernel options CONFIG_IPV6_ROUTE_INFO is enabled and the following sysctl variables are set:

sysctl -w net.ipv6.conf.wlan0.accept_ra=1
sysctl -w net.ipv6.conf.wlan0.accept_ra_rt_info_max_plen=64

If your system has IPv6 forwarding enabled (not recommended, see above), you'll have to use 2 for the accept_ra variable. See also the Thread Border Router - Bidirectional IPv6 Connectivity and DNS-Based Service Discovery codelab.

With the following command you can run the Matter Server in a container using Docker. The Matter network data (fabric information) are stored in a newly created directory data in the current directory. Adjust the command to choose another location instead.

mkdir data
docker run -d \
  --name matter-server \
  --restart=unless-stopped \
  --security-opt apparmor=unconfined \
  -v $(pwd)/data:/data \
  -v /run/dbus:/run/dbus:ro \
  --network=host \
  ghcr.io/home-assistant-libs/python-matter-server:stable

docker compose up -d
docker compose logs -f

NOTE: Both Matter and this implementation are in early (v1) state and features are probably missing or could be improved. See our development notes how you can help out, with development and/or testing.

For enabling Matter support within Home Assistant, please refer to the Home Assistant documentation. These instructions are for development only!

To install the server (including client): pip install python-matter-server[server] To only install the client part: pip install python-matter-server

The client library has a dependency on the chip/matter clusters package which contains all (Cluster) models and this package is os/platform independent. The server library depends on the Matter Core SDK (still named CHIP) which is architecture and OS specific. We build (and publish) wheels for Linux (amd64 and aarch64) to pypi but for other platforms (like Macos) you will need to build those wheels yourself using the exact same version of the SDK as we use for the clusters package. Take a look at our build script for directions: https://github.com/home-assistant-libs/chip-wheels/blob/main/.github/workflows/build.yaml

Once you have the wheels installed, you can check out the example script in the scripts folder for generic directions to run the client and server. To just run the server, you can run:

python -m matter_server.server

Optional arguments:
  -h, --help            show help message and exit
  --vendorid VENDORID   Vendor ID for the Fabric, defaults to 65521
  --fabricid FABRICID   Fabric ID for the Fabric, defaults to 1
  --storage-path STORAGE_PATH
                        Storage path to keep persistent data, defaults to $HOME/.matter_server
  --port PORT           TCP Port to run the websocket server, defaults to 5580
  --log-level LOG_LEVEL
                        Provide logging level. Example --log-level debug, default=info, possible=(critical, error, warning, info, debug)
  --log-file LOG_FILE   Log file to write to (optional).

The server runs a Matter Controller and includes all logic for storing node information, interviews and subscriptions. To interact with this controller we've created a small Websockets API with an RPC-like interface. The library contains a client as reference implementation which in turn is used by Home Assistant. Splitting the server from the client allows the scenario where multiple consumers can communicate to the same Matter fabric and the Matter fabric can keep running while the consumer (e.g. Home Assistant is down).

This list is not intended to be complete, for a complete oversight see the client implementation.

Set WiFi credentials Inform the controller about the WiFi credentials it needs to send when commissioning a new device.

{
  "message_id": "1",
  "command": "set_wifi_credentials",
  "args": {
    "ssid": "wifi-name-here",
    "credentials": "wifi-password-here"
  }
}

Set Thread dataset Inform the controller about the Thread credentials it needs to use when commissioning a new device.

{
  "message_id": "1",
  "command": "set_thread_dataset",
  "args": {
    "dataset": "put-credentials-here"
  }
}

Commission with code Commission a new device. For WiFi or Thread based devices, the credentials need to be set upfront, otherwise, commissioning will fail. Supports both QR-code syntax (MT:...) and manual pairing code as string. The controller will use bluetooth for the commissioning of wireless devices. If the machine running the Python Matter Server controller lacks Bluetooth support, commissioning will only work for devices already connected to the network (by cable or another controller).

{
  "message_id": "2",
  "command": "commission_with_code",
  "args": {
    "code": "MT:Y.ABCDEFG123456789"
  }
}

Open Commissioning window Open a commissioning window to commission a device present on this controller to another. Returns code to use as discriminator.

{
  "message_id": "2",
  "command": "open_commissioning_window",
  "args": {
    "node_id": 1
  }
}

Get Nodes Get all nodes already commissioned on the controller.

{
  "message_id": "2",
  "command": "get_nodes"
}

Get Node Get info of a single Node.

{
  "message_id": "2",
  "command": "get_node",
  "args": {
    "node_id": 1
  }
}

Start listening When the start_listening command is issued, the server will dump all existing nodes. From that moment on all events (including node attribute changes) will be forwarded.

{
  "message_id": "3",
  "command": "start_listening"
}

Send a command Because we use the datamodels of the Matter SDK, this is a little bit more involved. Here is an example of turning on a switch:

import json

# Import the CHIP clusters
from chip.clusters import Objects as clusters

# Import the ability to turn objects into dictionaries, and vice-versa
from matter_server.common.helpers.util import dataclass_from_dict,dataclass_to_dict

command = clusters.OnOff.Commands.On()
payload = dataclass_to_dict(command)


message = {
    "message_id": "example",
    "command": "device_command",
    "args": {
        "endpoint_id": 1,
        "node_id": 1,
        "payload": payload,
        "cluster_id": command.cluster_id,
        "command_name": "On"
    }
}

print(json.dumps(message, indent=2))

{
  "message_id": "example",
  "command": "device_command",
  "args": {
    "endpoint_id": 1,
    "node_id": 1,
    "payload": {},
    "cluster_id": 6,
    "command_name": "On"
  }
}

You can also provide parameters for the cluster commands. Here's how to change the brightness for example:

command = clusters.LevelControl.Commands.MoveToLevelWithOnOff(
  level=int(value), # provide a percentage
  transitionTime=0, # in seconds
)

Want to help out with development, testing, and/or documentation? Great! As both this project and Matter keeps evolving and devices will hit the market with actual Matter support, there will be a lot to improve. Reach out to us on discord if you want to help out.

Please note that development is only possible on Linux and MacOS, with no Windows support.

• Download/clone the repo to your local machine.
• Create a Python virtual environment.
• Install the correct SDK wheels for both the cluster and core package, see instructions above if there is no wheel for your setup prebuilt.

When communicating with Thread devices through a non-local Thread border router, your host must process ICMPv6 Router Advertisements. See the openthread.io Bidirectional IPv6 Connectivity code labs on how-to setup your host correctly. Note that NetworkManager has its own ICMPv6 Router Advertisement processing. A recent version of NetworkManager is necessary, and there are still known issues (see NetworkManager issue #1232).

The Home Assistant Operating System 10 and newer correctly processes ICMPv6 Router Advertisements.