Qontinui Lib
FreeNot checkedEnables AI-powered visual automation workflows by providing tools for searching nodes, creating and validating workflows, and executing automation scripts via n
About
Enables AI-powered visual automation workflows by providing tools for searching nodes, creating and validating workflows, and executing automation scripts via natural language.
README
MCP server for Qontinui visual automation - enables AI-powered workflow generation and execution.
Features
Knowledge Tools
- search_nodes - Search for action nodes using natural language
- search_workflows - Search for workflow templates
- get_nodes_by_category - Filter nodes by category
- get_nodes_by_action_type - Filter by action type (CLICK, FIND, TYPE, etc.)
- list_categories - List all available categories
- get_action_details - Get detailed node information
Workflow Tools
- validate_workflow - Validate workflow structure with cycle detection
- create_workflow - Create workflow from action steps
- generate_workflow - Generate workflow from natural language description
Execution Tools (requires qontinui library)
- run_automation - Execute automation scripts
- capture_screenshot - Capture current screen
- assert_state_visible - Assert visual state is on screen
- wait_for_state - Wait until state appears
- compare_screenshots - Visual diff between images
- is_execution_available - Check if execution is available
Installation
cd qontinui-mcp-py
poetry install
Usage
Run the MCP server
poetry run qontinui-mcp
Configure with Claude Desktop
Add to ~/.config/claude/claude_desktop_config.json (Linux) or equivalent:
{
"mcpServers": {
"qontinui": {
"command": "poetry",
"args": ["run", "qontinui-mcp"],
"cwd": "/path/to/qontinui-mcp-py"
}
}
}
Or using the installed script:
{
"mcpServers": {
"qontinui": {
"command": "/path/to/qontinui-mcp-py/.venv/bin/qontinui-mcp"
}
}
}
Development
# Install dependencies
poetry install
# Run in development
poetry run python -m qontinui_mcp.server
# Format + lint
poetry run ruff format .
poetry run ruff check .
poetry run mypy src/
Architecture
qontinui-mcp-py/
├── src/qontinui_mcp/
│ ├── __init__.py
│ ├── server.py # MCP server implementation
│ ├── database/
│ │ ├── __init__.py
│ │ ├── schema.sql # SQLite + FTS5 schema
│ │ ├── loader.py # DB initialization
│ │ └── search.py # FTS5 search functions
│ ├── tools/
│ │ ├── __init__.py
│ │ ├── generator.py # Workflow generation
│ │ └── execution.py # Automation execution
│ ├── types/
│ │ ├── __init__.py
│ │ └── models.py # Pydantic models
│ └── utils/
│ ├── __init__.py
│ └── validation.py # Workflow validation
├── pyproject.toml
└── README.md
Action Types Supported
Basic Actions
- FIND, CLICK, DOUBLE_CLICK, RIGHT_CLICK, MIDDLE_CLICK
- DEFINE, TYPE, MOVE, HOVER
- VANISH, WAIT_VANISH, HIGHLIGHT
- SCROLL_MOUSE_WHEEL, SCROLL_UP, SCROLL_DOWN
- MOUSE_DOWN, MOUSE_UP, KEY_DOWN, KEY_UP
- CLASSIFY
Composite Actions
- CLICK_UNTIL, DRAG, RUN_PROCESS
Database
The server uses SQLite with FTS5 for full-text search:
- Location:
~/.qontinui/mcp/qontinui.db - Auto-created on first run
- Supports fuzzy search with ranking
License
Licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). See LICENSE for full terms.
Install Qontinui Lib in Claude Desktop, Claude Code & Cursor
unyly install qontinui-lib-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add qontinui-lib-mcp -- uvx --from git+https://github.com/qontinui/qontinui-lib-mcp qontinui-mcpFAQ
Is Qontinui Lib MCP free?
Yes, Qontinui Lib MCP is free — one-click install via Unyly at no cost.
Does Qontinui Lib need an API key?
No, Qontinui Lib runs without API keys or environment variables.
Is Qontinui Lib hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Qontinui Lib in Claude Desktop, Claude Code or Cursor?
Open Qontinui Lib on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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