ivoryos-mcp 0.1.1

MCP server for ivoryOS.

IvoryOS MCP server

Serve as a robot control interface using IvoryOS and Model Context Protocol (MCP) to design, manage workflows, and interact with the current hardware/software execution layer.

📦 Installation

Install uv.

1. Clone the Repository

git clone https://gitlab.com/heingroup/ivoryos-mpc
cd ivoryos-mcp

2. Install dependencies

When using IDE (e.g. PyCharm), the uv environment might be configured, you can skip this section.

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -r uv.lock

⚙️ Configuration

Option 1: in .env, change ivoryOS url and login credentials.

IVORYOS_URL=http://127.0.0.1:8000/ivoryos
IVORYOS_USERNAME=admin
IVORYOS_PASSWORD=admin

Option 2: In ivoryos_mcp/server.py, change ivoryOS url and login credentials.

url = "http://127.0.0.1:8000/ivoryos"
login_data = {
    "username": "admin",
    "password": "admin",
}

🚀 Install the server (in Claude Desktop)

mcp install ivoryos_mcp/server.py

✨ Features

Category	Feature	Description
ℹ️ General Tools	platform-info	Get ivoryOS info and signature of the platform
	execution-status	Check if system is busy and current/last task status
ℹ️ Workflow Design	list-workflow-scripts	List all workflow scripts from the database
	load-workflow-script	Load a workflow script from the database
	submit-workflow-script	Save a workflow Python script to the database
ℹ️ Workflow Data	list-workflow-data	List available workflow execution data
	load-workflow-data	Load CSV and execution log from selected workflow
🤖 Direct Control	execute-task	Call platform function directly
🤖 Workflow Run	run-workflow-repeat	Run workflow scripts repeatedly with static parameters
	run-workflow-kwargs	Run workflow scripts with dynamic parameters
	run-workflow-campaign	Run workflow campaign with an optimizer
🤖 Workflow Control	pause-and-resume	Pause or resume the workflow execution
	abort-pending-workflow	Finish current iteration, abort future executions
	stop-current-workflow	Safe stop of current workflow

⚠️ It's recommended to only use allow always for tasks with ℹ️ and use allow once for tasks with 🤖. These tasks will trigger actual actions on your hosted Python code.

🧪 Examples

The example prompt uses the abstract SDL example.

Platform info

Load prebuilt workflow script