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Thorlabs compact spectrometer (pyCCT SpectrometerWrapper)

Thorlabs compact spectrometer (pyCCT SpectrometerWrapper), adapted from hslarson/speck-lab-goniometer. It reads device_id; sets manual_exposure, hardware_average, input_hw_trigger_enabled, input_hw_trigger_average_no_wait and 3 more; runs acquire_spectrum. acquire_spectrum: acquire an optical or mass spectrum over a declared wavelength or mass range and return the axis and intensity arrays, or an artifact reference for large spectra. A hardware driver: the market serves its fake backend, so no instrument is needed.

hardwareRisk R1MITcontract_checkedserved on the fake backend
openai4s lab add labs/hslarson__speck-lab-goniometer
All install options REFERENCE.md Upstream repository Registry record

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/hslarson__speck-lab-goniometer

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/hslarson__speck-lab-goniometer --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": {
    "speck-lab-goniometer": {
      "command": "python3",
      "args": [
        "-m",
        "mhs",
        "serve",
        "labs/hslarson__speck-lab-goniometer",
        "--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

  • device_id

Adjusts

  • manual_exposure
  • hardware_average
  • input_hw_trigger_enabled
  • input_hw_trigger_average_no_wait
  • input_hw_trigger_falling_edge
  • output_hw_trigger_delay
  • use_amplitude_correction

Actions

acquire_spectrum
Acquire an optical or mass spectrum over a declared wavelength or mass range and return the axis and intensity arrays, or an artifact reference for large spectra.

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/hslarson__speck-lab-goniometer
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
9ca84d8c8c6c
Licence
MIT
Stars
0
Evidence
contract_checked on the fake backend
Backends
fake, hardware

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