⚡eMCP-Nexus

AI-Powered Marketplace for MCP Tools

eMCP Nexus is an AI-powered marketplace that connects AI engineers with users through a revolutionary pay-per-task model. Engineers can upload and monetize their Model Context Protocol (MCP) tools by simply connecting their GitHub repositories, while users discover and use these tools on-demand, paying only for what they consume.

🚀 Key Features

🔍 Intelligent Discovery & Search

• Semantic Search Engine:

  • Find MCP tools by describing what you need in natural language.
  • FAISS-powered vector search understands intent and functionality, not just keywords.
  • Search examples: "summarize documents", "analyze images", "process payments".

• AI-Powered Recommendation System:

  • Personalized tool suggestions based on your usage patterns and preferences.
  • Smart ranking algorithm that considers tool quality, ratings, performance, and relevance.
  • Trending and popular tools surfaced for easy discovery.

• RAG-Powered Chatbot Support:

  • 24/7 AI assistant for customer support and queries.
  • Context-aware responses using Retrieval-Augmented Generation (RAG).
  • Get help with tool selection, integration, troubleshooting, and payments.

For AI Engineers (Tool Creators)

• Easy MCP Tool Deployment:

  • Upload your MCP tools by connecting your GitHub repository.
  • Instant deployment—no complex setup or configuration required.
  • Automatic tool parsing and indexing for discoverability.

• Earn Per Task:

  • Set your own pricing for each task execution.
  • Receive payments instantly via crypto or traditional payment methods.
  • Track earnings and usage analytics in real-time.

• Smart Visibility:

  • Your tools are automatically indexed using semantic vector search (FAISS).
  • Recommendation system boosts high-quality, well-rated tools.
  • Increase visibility through intelligent matching algorithms.

For Users (Tool Consumers)

• Discover MCP Tools Instantly:

  • Find the perfect tool by describing your task in natural language.
  • Semantic search understands what you need, not just keywords you type.
  • Get personalized recommendations based on your workflow and history.
  • Browse curated collections and trending tools.

• AI Assistant at Your Service:

  • Ask our RAG-powered chatbot anything about tools, pricing, or integration.
  • Get instant answers and recommendations 24/7.
  • Troubleshoot issues and learn best practices through conversational AI.

• Pay Only Per Task:

  • No subscriptions or long-term commitments.
  • Transparent, usage-based pricing.
  • Micro-payments via crypto or traditional payment methods.

• Seamless Integration:

  • Use tools directly through our API or web interface.
  • Execute tasks on-demand with simple HTTP calls.
  • Get results instantly with full monitoring and logging.

🌟 Why eMCP Nexus?

• Fair Monetization for Creators:

  • AI engineers earn directly from their innovations.
  • No platform lock-in—maintain control of your code.
  • Build a passive income stream from your MCP tools.

• Cost-Effective for Users:

  • Pay only for what you use—no wasted subscriptions.
  • Access premium AI tools without breaking the bank.
  • Flexible pricing tailored to your usage patterns.

• AI-Powered Intelligence:

  • Semantic search finds tools by meaning and functionality, not just keywords.
  • Smart recommendation engine ranks and surfaces the best tools for your needs.
  • RAG chatbot provides instant, context-aware support and guidance.
  • Reputation system ensures quality and reliability.
  • Automated deployment and scaling for all tools.

🛠️ Getting Started

Prerequisites

• Python 3.9+
• Docker (for local development)
• Node.js (for frontend, if applicable)

Quick Start (Local)

1. Clone the repository:

   git clone https://github.com/your-org/eMCP-Nexus.git
   cd eMCP-Nexus
   

2. Install dependencies:

   pip install -r backend/requirements.txt
   

3. Start the backend:

   uvicorn backend.main:app --reload
   

4. Open the API docs:

   • Visit http://localhost:8000/docs for interactive Swagger UI.

5. (Optional) Start with Docker Compose:

   docker-compose up --build
   

🧩 Core Components

• Semantic Search Engine: FAISS-powered vector search that understands the tool functionality and intent, enabling natural language queries.
• AI Recommendation System: Intelligent ranking algorithm that surfaces the most relevant, high-quality tools based on multiple factors.
• RAG Chatbot: (RAG)Retrieval-Augmented Generation powered assistant for 24/7 customer support, tool discovery, and troubleshooting.
• GitHub Integration: Seamless MCP tool deployment from GitHub repositories.
• Pay-Per-Task Billing: Flexible micro-payment system supporting crypto and traditional payments.
• Creator Dashboard: Real-time analytics, earnings tracking, and tool management for AI engineers.
• User Portal: Discover, test, and integrate MCP tools with simple API calls.
• Reputation System: Quality assurance through user ratings, usage metrics, and performance tracking.

💸 How It Works

For AI Engineers:

1. Connect Your GitHub Repo containing your MCP tool.
2. Set Your Pricing per task execution.
3. Deploy Instantly with one click—your tool goes live.
4. Earn Automatically as users consume your tool.

For Users:

1. Search for Tools using natural language (e.g., "summarize PDF documents") or ask the AI chatbot for recommendations.
2. Get Smart Recommendations tailored to your needs and usage patterns.
3. Preview & Test tools before committing.
4. Execute Tasks via API or web interface.
5. Pay Per Use with transparent pricing—no subscriptions.
6. Get Support anytime through our RAG-powered AI assistant.

🤝 Contributing

We welcome contributions from the community! To get started:

1. Fork the repo and create your feature branch (git checkout -b feature/your-feature)
2. Commit your changes (git commit -am 'Add new feature')
3. Push to the branch (git push origin feature/your-feature)
4. Open a Pull Request

Please see CONTRIBUTING.md for more details.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🙋 FAQ

Q: How does semantic search work?
A: We use FAISS (Facebook AI Similarity Search) to create vector embeddings of tool descriptions and user queries. This enables intelligent matching based on actual functionality and intent, not just keyword matching. You can search by describing what you want to accomplish in natural language.

Q: What is the recommendation system?
A: Our AI-powered recommendation engine analyzes tool quality, user ratings, execution success rates, usage patterns, and relevance to surface the best MCP tools for your specific needs. It learns from the community to continuously improve suggestions.

Q: How does the RAG chatbot help?
A: Our Retrieval-Augmented Generation (RAG) chatbot combines large language models with our tool database to provide accurate, context-aware answers about tools, pricing, integration, and troubleshooting. It's available 24/7 to assist with any questions.

Q: How do I upload my MCP tool?
A: Simply connect your GitHub repository in the creator dashboard, set your pricing, and click deploy. Your tool will be live and discoverable immediately.

Q: How are payments handled?
A: We support both crypto micro-payments and traditional payment methods (Stripe). Users pay per task execution, and creators receive instant payouts.

Q: What if I want to try a tool before paying?
A: Many creators offer free tier limits or demo executions. Check individual tool pages for trial options.

Q: How is tool quality ensured?
A: Our reputation system tracks user ratings, execution success rates, and usage patterns to highlight high-quality tools.

---

eMCP Nexus — Empowering AI engineers to monetize their innovations and enabling users to access cutting-edge MCP tools on-demand.