Quranic Etymology Explorer

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

Load Context: Start each session by loading project context
Select Focus: Choose specific context area (frontend, backend, workflows)
Use Prompts: Apply specialized prompts from the library
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.

Frontend Repository

🌐 Live Website: Quranic Etymology Website

This MCP server provides context for the frontend development at the above repository.# Updated Fri, Jul 25, 2025 10:54:58 PM

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - not found

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

AI-powered educational platform for analyzing Quranic words through etymology, frequency patterns, and cross-linguistic research, providing complete project context for AI-assisted development.

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