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qontinui-mcp

@qontinui/qontinui-mcp
0 Stars 175 次浏览 qontinui 更新于 2026-08-23

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "qontinui": {
      "args": [],
      "command": "qontinui-mcp"
    }
  }
}

服务介绍

qontinui-mcp

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

Installation

pip install qontinui-mcp

Quick Start

  1. Start the Qontinui Runner (desktop application)

  2. Configure your AI client (Claude Desktop, Claude Code, Cursor, etc.)

Add to your MCP configuration:

{
  "mcpServers": {
    "qontinui": {
      "command": "qontinui-mcp",
      "args": []
    }
  }
}
  1. 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

License

MIT

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