How do I use Qontinui MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type `@` followed by the MCP server name and your instructions, e.g., "`@Qontinui MCP Server` load the login workflow config and run it on my primary monitor" That's it! The server will respond to your query, and you can continue using it as needed. Here is a [step-by-step guide with screenshots](https://glama.ai/blog/2025-07-08-how-to-install-and-use-mcp-servers).

qontinui-mcp

Lightweight MCP server for Qontinui Runner - enables AI-driven visual automation.

Installation

pip install qontinui-mcp

Quick Start

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": [] } } }

Run workflows via AI

The AI can now:

Load workflow configuration files
Run visual automation workflows
Monitor execution status
Control which monitor to use

Configuration

Environment variables:

Variable	Description	Default
`QONTINUI_RUNNER_HOST`	Runner host address	Auto-detected (WSL-aware)
`QONTINUI_RUNNER_PORT`	Runner HTTP port	`9876`

Available Tools

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

Example Usage

# In an AI conversation: "Load the config at /path/to/workflow.json and run the 'login_test' workflow on the left monitor"

Development

# Clone git clone https://github.com/qontinui/qontinui-mcp cd qontinui-mcp # Install dependencies poetry install # Run server locally poetry run qontinui-mcp