Mohamed Osama
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LiveAIPromptsMCP

AI Developer Workspace

2,771 curated AI prompts, MCP profiles, and developer skill playbooks

AI Developer Workspace

About this Project

Prompt engineering and autonomous agent workflows are rapidly becoming foundational for software developers, yet finding high-quality, verified prompts and Model Context Protocol (MCP) server profiles is plagued by fragmentation, uncurated web dumps, and prompt-injection risks.

Developers and organizations need a curated, secure workspace: deduplicated prompts, dialect-aware Arabic prompt engineering, validated MCP configuration profiles, and a JWT-secured workbench where engineers can safely test and iterate on prompts without data leakage.

Project Impact & Outcomes

2,770+ verified prompts
The largest bilingual Arabic/English prompt library on a single dedicated platform.
Full bilingual parity
Every feature, label, prompt, and guide available in both Arabic (RTL) and English (LTR) natively.
Centralized AI infrastructure
Prompts, integrations, playbooks, and a live workbench — unified in one platform instead of four separate tools.
Near-zero infrastructure cost
Scale-to-zero architecture delivers professional-grade uptime at approximately $5/month.
Hardened security
Enterprise-level credential protection, payload filtering, and automated vulnerability scanning — standard, not optional.
Consistent team output
Standardized playbooks replace improvised individual AI usage, lifting output consistency across teams.
مخرجات فريق متسقة
الأدلة الموحدة تستبدل الاستخدام الفردي العشوائي للذكاء الاصطناعي، مما يرفع اتساق الجودة عبر الفرق.

Tech Stack

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Next.js
Technology
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AI
Technology
03
MCP
Technology

Modules & Features

Module Details 01

Curated Prompt Library (2,770+ Cards)

This is the largest section of the platform and its most used feature. It contains over 2,770 prompt cards — each one written, tested, and verified before being published. The library is organized by use case, making it easy for a marketing manager, a developer, a content creator, or an operations lead to find exactly what they need without reading through irrelevant material.

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Every prompt card is available in both Arabic and English, with RTL (right-to-left) layout applied automatically for Arabic readers. The library is deduplicated — meaning no two cards teach the same thing — and continuously maintained to remove outdated or low-quality entries.

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*What it replaces:** Hours of trial-and-error writing AI prompts from scratch, or relying on low-quality prompt lists shared in community forums.

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Project FAQs

AI was natively embedded into the core workflows (such as content automation, verification, and analytics) rather than just a sidebar chat feature.
Yes, the system is architected from the ground up to be natively bilingual (Arabic/English) with full RTL/LTR rendering support.
It uses Next.js 15 with TypeScript for the frontend, secure API design, PostgreSQL/SQLite, and Docker for reproducible deployments.
We enforce strict row-level data isolation, secure authentication, and end-to-end encryption for API keys.
You can get in touch directly via the contact page to start planning and building a custom solution for your business.
AIStatus: Live

AI Developer Workspace

2,771 curated AI prompts, MCP profiles, and developer skill playbooks

Completion Progress100%
2026Visit →

Categories

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AI
Project Category
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Prompts
Project Category
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MCP
Project Category
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