
monday ai workflow
AI-powered workflow assistant for monday.com
Repository Info
About This Server
AI-powered workflow assistant for monday.com
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
monday-ai-workflow
AI-powered workflow assistant for monday.com
Overview
This application enhances monday.com workflows with AI-powered features, intelligent automation, and advanced analytics. It provides a seamless integration with monday.com's platform while offering premium features through a subscription model.
Features
- Workspace & Board Management: Create and manage workspaces and boards with an intuitive interface
- AI-Powered Insights: Analyze workflow patterns and receive optimization suggestions
- Comprehensive Icon System: Consistent visual language with accessibility support
- Subscription Tiers: Access premium features through flexible subscription plans
- Standardized UI Components: Consistent UI using monday-ui-react-core components
- Performance Optimizations: Enhanced caching and request deduplication for improved responsiveness
- GitHub MCP Integration: Direct GitHub repository interaction through AI tools
Getting Started
Prerequisites
- Node.js 16.x or higher
- npm 7.x or higher
- monday.com developer account
Installation
-
Clone the repository:
git clone https://github.com/your-username/monday-ai-workflow.git -
Install dependencies:
npm install -
Configure environment variables:
cp .env.example .envEdit the
.envfile with your monday.com API credentials. -
Start the development server:
npm run dev
UI Components
The application uses standardized UI components based on monday-ui-react-core to ensure a consistent user experience that aligns with monday.com's design system.
Enhanced Components
- EnhancedWorkspaceList: Optimized workspace list with caching and improved accessibility
- Custom Card Component: Standardized card component following monday.com design patterns
- Custom Banner Component: Notification banner component for status messages
Using Enhanced Components
import EnhancedWorkspaceList from './components/WorkspaceManagement/EnhancedWorkspaceList';
// Basic usage
<EnhancedWorkspaceList />
// With custom properties
<EnhancedWorkspaceList
showActions={true}
prefetchOnHover={true}
className="custom-class"
/>
Performance Optimizations
The application includes several performance optimizations to improve responsiveness and user experience:
Enhanced Services with Caching
- EnhancedWorkspaceService: Caches workspace data with intelligent invalidation
- EnhancedBoardService: Caches board data with support for prefetching
- EnhancedItemService: Implements efficient caching for items with query-specific cache keys
React Hooks for Data Fetching
- useCachedData: Generic hook for fetching and caching any data
- useEnhancedWorkspaces: Specialized hook for workspace data
- useEnhancedBoards: Specialized hook for board data
- useEnhancedItems: Specialized hook for item data
Using Data Hooks
import { useEnhancedWorkspaces } from './hooks/useEnhancedWorkspaces';
function WorkspaceComponent() {
const {
workspaces,
loading,
error,
selectWorkspace,
createWorkspace,
updateWorkspace,
deleteWorkspace
} = useEnhancedWorkspaces();
// Component logic here
}
Icon System
The application includes a comprehensive icon system that provides:
- Consistent visual language across the application
- Support for different icon categories (Navigation, Action, Status)
- Multiple display options (Outlined, Filled)
- Responsive sizing (Small, Medium, Large)
- Full accessibility compliance
Using Icons
import Icon from './components/common/icons/Icon';
import { IconCategory, IconSize, IconType } from './components/common/icons/IconTypes';
// Basic usage
<Icon name="workspace" />
// With custom properties
<Icon
name="add"
category={IconCategory.ACTION}
type={IconType.FILLED}
size={IconSize.LARGE}
color="#FF0000"
ariaLabel="Add new item"
/>
GitHub MCP Integration
The application includes integration with GitHub through the Model Context Protocol (MCP) server, enabling:
- Automated repository management
- Code search and analysis
- Issue tracking and management
- Pull request workflows
- File operations directly from AI interfaces
For more information on the GitHub MCP integration, see MCP Setup Documentation.
Testing
Running Tests
Run the test suite:
npm test
Run specific tests:
npm test -- --testPathPattern=src/tests/components/common/icons
Run tests with coverage:
npm test -- --coverage
Test Categories
- Component Tests: Tests for UI components and their behavior
- Hook Tests: Tests for custom React hooks
- Service Tests: Tests for API services and data fetching
- Integration Tests: Tests for component interactions
- Accessibility Tests: Tests for accessibility compliance
Documentation
- Installation Guide
- User Guide
- Admin Guide
- Monetization Architecture
- Troubleshooting Guide
- UI Standardization
- Performance Optimizations
- Phase 2 Implementation Summary
- MCP Setup Documentation
Repository Organization
The repository is organized into logical groups for easier navigation and maintenance:
- src/components/: UI components organized by feature
- src/services/: API services and data fetching
- src/hooks/: Custom React hooks
- src/tests/: Test files organized by type
- docs/: Documentation files
For more details on repository organization, see Repository Organization Plan.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Quick Start
Clone the repository
git clone https://github.com/tburgernyc/monday-ai-workflowInstall dependencies
cd monday-ai-workflow
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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