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Model Context Protocol (MCP) Documentation

A comprehensive platform showcasing various Model Context Protocol implementations for different use cases, built with React, TypeScript, and modern web technologies.

About the Developer

Adarsh Ajay
Software Development Engineer at AOT Technologies
Trivandrum, India

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Technical Expertise

AI & LLM Technologies

  • Prompt Engineering (Chain of Thought, Few-Shot Learning)
  • Agent-Based Systems (Langchain, N8N, Make.com)
  • MCP, CREWAI, Langflow, Smolagents
  • Hallucination Prevention Techniques

Core Technologies

  • Languages: Python, JavaScript, TypeScript, Java, SQL
  • Frameworks: FastAPI, Django, Flask, React
  • AI Frameworks: Langchain, TensorFlow, PyTorch, Hugging Face
  • Cloud: GCP (Vertex AI, Big Query), AWS (S3, SageMaker)

Project Setup

# Install dependencies
npm install

# Run development server
npm run dev

# Build for production
npm run build

Features

  • Multiple MCP implementations for various use cases
  • Responsive and modern UI design
  • Real-time preview and testing capabilities
  • Comprehensive documentation for each MCP type

Contributing

Feel free to open issues or submit pull requests for improvements or bug fixes.

License

MIT License

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