Labs · Liquid handling and fluidics

Opentrons OT-2 through galago-tools' Ot2Driver

Opentrons OT-2 through galago-tools' Ot2Driver, adapted from sciencecorp/galago-tools. It reads run_id and run_status; runs run_protocol and stop_run. run_protocol: upload an operator-approved protocol file, create a run of it and play it. A hardware driver: the market serves its fake backend, so no instrument is needed.

hardwareRisk R2Apache-2.0contract_checkedserved on the fake backend
openai4s lab add labs/sciencecorp__galago-tools

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)

shell
openai4s lab add labs/sciencecorp__galago-tools

Installs 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

shell
git clone --depth 1 https://github.com/PKU-YuanGroup/OpenMHS.git && cd OpenMHS
PYTHONPATH=MHS/sdk/src python3 -m mhs serve labs/sciencecorp__galago-tools --port 7400
# in a second terminal, from the same directory:
PYTHONPATH=MHS/sdk/src python3 -m mhs describe --endpoint http://127.0.0.1:7400

Serves 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, …)

mcp configuration
{
  "mcpServers": {
    "galago-tools": {
      "command": "python3",
      "args": [
        "-m",
        "mhs",
        "serve",
        "labs/sciencecorp__galago-tools",
        "--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

  • run_id
  • run_status

Adjusts

Nothing declared.

Actions

run_protocol
Upload an operator-approved protocol file, create a run of it and play it
stop_run
Stop this endpoint's run and read its status until it is succeeded, stopped or failed

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:

shell
# 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/sciencecorp__galago-tools
openai4s serve        # open the Lab tab

The 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

Pinned commit
7ddf68c7bb7e
Licence
Apache-2.0
Stars
19
Evidence
contract_checked on the fake backend
Backends
fake, hardware

The driver package MHS/drivers/labs/sciencecorp__galago-tools wraps the upstream code at the pinned commit. Its REFERENCE.md documents the full contract: every value, action, unit, limit and the safety declaration.