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.
Install uv.
Open up the configuration file, and add IvoryOS MCP config.
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"IvoryOS MCP": {
"command": "uvx",
"args": [
"ivoryos-mcp"
],
"env": {
"IVORYOS_URL": "http://127.0.0.1:8000/ivoryos",
"IVORYOS_USERNAME": "<IVORYOS_USERNAME>",
"IVORYOS_PASSWORD": "<IVORYOS_PASSWORD>"
}
}
}
}Install uv.
git clone https://gitlab.com/heingroup/ivoryos-mpc
cd ivoryos-mcpWhen 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.lockOption 1: in .env, change ivoryOS url and login credentials.
IVORYOS_URL=http://127.0.0.1:8000/ivoryos
IVORYOS_USERNAME=admin
IVORYOS_PASSWORD=adminOption 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",
}mcp install ivoryos_mcp/server.py| Category | Feature | Route | Description |
|---|---|---|---|
| ℹ️ General Tools | platform-info |
GET /instruments |
Get ivoryOS info and signature of the platform |
execution-status |
GET /executions/status |
Check if system is busy and current/last task status | |
| ℹ️ Workflow Design | list-workflow-scripts |
GET /library/<deck_name> |
List all workflow scripts from the database |
load-workflow-script |
GET /library/<workflow_name> |
Load a workflow script from the database | |
submit-workflow-script |
POST /draft/submit_python |
Save a workflow Python script to the database | |
get-optmizer-schema |
POST /executions/optimizer_schema |
Get all optimizers schema | |
| ℹ️ Workflow Data | list-workflow-data |
GET /executions/records |
List available workflow execution data |
load-workflow-data |
GET /executions/records/<workflow_id> |
Load execution log and data file | |
| 🤖 Direct Control | execute-task |
POST /instruments/<component> |
Call platform function directly |
| 🤖 Workflow Run | run-workflow-repeat |
POST /executions/config |
Run workflow scripts repeatedly with static parameters |
run-workflow-kwargs |
POST /executions/config |
Run workflow scripts with dynamic parameters | |
run-workflow-campaign |
POST /executions/campaign |
Run workflow campaign with an optimizer | |
| 🤖 Workflow Control | pause-and-resume |
GET /executions/pause-resume |
Pause or resume the workflow execution |
abort-pending-workflow |
GET /executions/abort/next-iteration |
Finish current iteration, abort future executions | |
stop-current-workflow |
GET /executions/abort/next-task |
Safe stop of current workflow |
Warning
ℹ️ are resources, but decorated as tool due to the current issue with MCP Python SDK and Claude Desktop integration.
It's recommended to only use allow always for ℹ️ tasks and use allow once for 🤖 tasks.
These tasks will trigger actual actions on your hosted Python code.
The example prompt uses the abstract SDL example.

