modelscope·@qontinui/qontinui-mcp
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Lightweight MCP server for Qontinui Runner - enables AI-driven visual automation.
pip install qontinui-mcp
Start the Qontinui Runner (desktop application)
Configure your AI client (Claude Desktop, Claude Code, Cursor, etc.)
Add to your MCP configuration:
{
"mcpServers": {
"qontinui": {
"command": "qontinui-mcp",
"args": []
}
}
}
The AI can now:
Environment variables:
| Variable | Description | Default |
|---|---|---|
QONTINUI_RUNNER_HOST | Runner host address | Auto-detected (WSL-aware) |
QONTINUI_RUNNER_PORT | Runner HTTP port | 9876 |
| Tool | Description |
|---|---|
get_executor_status | Get runner status |
list_monitors | List available monitors |
load_config | Load a workflow configuration file |
ensure_config_loaded | Load config if not already loaded |
get_loaded_config | Get loaded configuration info |
run_workflow | Run a workflow by name |
stop_execution | Stop current execution |
# In an AI conversation:
"Load the config at /path/to/workflow.json and run the 'login_test' workflow on the left monitor"
# Clone
git clone https://github.com/qontinui/qontinui-mcp
cd qontinui-mcp
# Install dependencies
poetry install
# Run server locally
poetry run qontinui-mcp
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