Install
Three ways to run this device. Each one serves its fake backend: no instrument, no simulator install and no upstream checkout.
OpenAI4S (one command)
openai4s lab add labs/pymodaq__pymodaq_plugins_smaractInstalls the device into the OpenAI4S Lab on its fake backend and starts it. First time? See setup below.
Or, in the workbench, open the Lab tab → Market → Install.
Standalone MHS endpoint
git clone --depth 1 https://github.com/PKU-YuanGroup/OpenMHS.git && cd OpenMHS
PYTHONPATH=MHS/sdk/src python3 -m mhs serve labs/pymodaq__pymodaq_plugins_smaract --port 7400
# in a second terminal, from the same directory:
PYTHONPATH=MHS/sdk/src python3 -m mhs describe --endpoint http://127.0.0.1:7400Serves the device as an MHS endpoint on port 7400 from an OpenMHS clone (Python 3.10 or later, standard library only); describe prints what it offers.
Any MCP host (Claude Desktop, Cursor, …)
{
"mcpServers": {
"pymodaq-plugins-smaract": {
"command": "python3",
"args": [
"-m",
"mhs",
"serve",
"labs/pymodaq__pymodaq_plugins_smaract",
"--mcp"
],
"env": {
"PYTHONPATH": "/path/to/OpenMHS/MHS/sdk/src"
}
}
}
}Add this server to the host's MCP configuration and replace /path/to/OpenMHS with the path of your OpenMHS clone. The host starts the server and talks to it on stdin and stdout.
What it does
Measures
positionunitsbase_resolutionpositioner_typedevice_namenumber_of_channelschannel
Adjusts
Nothing declared.
Actions
absolute_move- Move the bound MCS2 channel to an absolute position given in controller base units
relative_move- Move the bound MCS2 channel by a relative offset given in controller base units
find_reference- Start the reference search of the bound MCS2 channel (the native find_reference); the search itself is asynchronous
stop_motion- Stop motion on the bound MCS2 channel (the native stop); the controller applies its configured stop profile and the call takes no profile
Names as the driver declares them. Units, limits and the safety declaration are in the package's REFERENCE.md.
First-time setup
The OpenAI4S workbench with the OpenMHS lab, from a source checkout:
# OpenAI4S workbench with the OpenMHS lab (source checkout)
git clone --recursive https://github.com/PKU-YuanGroup/OpenAI4S.git
cd OpenAI4S && ./setup.sh && source .venv/bin/activate
openai4s lab add labs/pymodaq__pymodaq_plugins_smaract
openai4s serve # open the Lab tabThe standalone endpoint and the MCP server need only an OpenMHS clone and Python 3.10 or later. More in the market's getting-started guide and on the OpenAI4S host page.
Source and evidence
- Upstream
- pymodaq/pymodaq_plugins_smaract
- Pinned commit
eeb3fa8ced4c- Licence
- MIT
- Stars
- 1
- Evidence
contract_checkedon the fake backend- Backends
- fake, hardware
The driver package MHS/drivers/labs/pymodaq__pymodaq_plugins_smaract wraps the upstream code at the pinned commit. Its REFERENCE.md documents the full contract: every value, action, unit, limit and the safety declaration.