Quranic Etymology Explorer - MCP Context Server

Overview

AI-powered educational platform for deep Quranic word analysis through etymology, frequency patterns, and cross-linguistic research. This MCP server provides complete project context for AI-assisted development.

Features

• Complete Project Context: Full project specifications and requirements
• Database Schema: Comprehensive Supabase PostgreSQL schema
• API Endpoints: Complete REST API and real-time subscriptions
• N8N Workflows: Automation templates for research and content generation
• Frontend Components: Lovable/React component specifications
• Design System: Complete UI/UX design tokens and patterns
• Prompts Library: Ready-to-use AI prompts for development tasks

Tech Stack

• Frontend: Lovable (React/Next.js) + Tailwind CSS
• Backend: Supabase (PostgreSQL + Vector Store)
• Automation: n8n Pro (Local deployment)
• AI: Claude Sonnet 4 (MCP integrated)
• Hosting: Hostinger Pro
• Video: YouTube Data API v3

MCP Integration

Installation

Add to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "quranic-etymology-context": {
      "command": "npx",
      "args": ["mcp-remote", "https://gitmcp.io/YOUR_USERNAME/quranic-etymology-mcp"]
    }
  }
}

Available Tools

• load_project_context - Load complete project context
• get_lovable_prompts - Get frontend development prompts
• get_n8n_workflows - Get workflow automation templates
• get_supabase_schema - Get database schema specifications

Usage Examples

Load Full Project Context:

Use the load_project_context tool to load all Quranic Etymology Explorer project specifications.

Generate Frontend Component:

Using the Master Frontend Prompt Template, create a homepage component for Lovable platform.

Create N8N Workflow:

Generate an etymology research workflow using the n8n templates provided.

Project Structure

quranic-etymology-mcp/
├── README.md                           # This file
├── mcp.json                           # MCP server configuration
├── contexts/                          # Project context files
│   ├── 00-PROJECT-MASTER-CONTEXT.md
│   ├── 01-DATABASE-SCHEMA-CONTEXT.md
│   ├── 02-API-ENDPOINTS-CONTEXT.md
│   ├── 03-N8N-WORKFLOWS-CONTEXT.md
│   ├── 04-FRONTEND-COMPONENTS-CONTEXT.md
│   ├── 05-DESIGN-SYSTEM-CONTEXT.md
│   ├── 06-CONTENT-STRATEGY-CONTEXT.md
│   ├── 07-RESEARCH-METHODOLOGY-CONTEXT.md
│   ├── 08-DEPLOYMENT-CONTEXT.md
│   ├── 09-TESTING-STRATEGY-CONTEXT.md
│   └── 10-PROMPTS-LIBRARY-CONTEXT.md
└── tools/
    └── context-loader.js              # MCP server implementation

Development Workflow

1. Load Context: Start each session by loading project context
2. Select Focus: Choose specific context area (frontend, backend, workflows)
3. Use Prompts: Apply specialized prompts from the library
4. Iterate: Build upon previous context for continuous development

Quality Standards

• Research Accuracy: 90%+ verified against academic sources
• Automation Success: 95%+ workflow completion rate
• User Engagement: 5%+ target engagement rate
• Performance: <2 hours total video generation time
• Accessibility: WCAG 2.1 AA compliance

Contributing

This MCP server is part of the Quranic Etymology Explorer project. Context files are continuously updated based on project evolution and AI development best practices.

License

Educational use - Academic and research purposes

Contact

For questions about this MCP context server or the Quranic Etymology Explorer project, please refer to the project documentation in the context files.