MCP Learning Project

MCP Learning Project

A comprehensive learning platform for Model Context Protocol development that teaches MCP concepts through hands-on modules including text processing, file operations, and database integration. Designed as an educational tool with progressive difficulty levels from basic to advanced MCP server development.

Category
Visit Server

README

MCP Learning Project

A comprehensive learning platform for Model Context Protocol (MCP) development. This project is designed to help you learn MCP development from basics to advanced concepts through hands-on experience.

🚀 Quick Start

Prerequisites

  • Python 3.8 or higher
  • Git
  • VS Code or Cursor (recommended)

Installation

  1. Clone the repository (if using Git):

    git clone <your-repo-url>
    cd mcp-learning-project
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Set up environment:

    cp .env.example .env
    # Edit .env with your configuration
    
  4. Run the basic server:

    python src/main.py
    

📚 Learning Path

Phase 1: Foundation (Start Here!)

  • [x] Basic MCP Server - Learn fundamental MCP concepts
  • [x] Text Processing Module - Handle text manipulation tasks
  • [x] File Operations Module - Work with files and directories

Phase 2: Intermediate

  • [ ] Database Integration - Connect with databases
  • [ ] API Integration - Work with external APIs
  • [ ] Configuration Management - Handle app settings

Phase 3: Advanced

  • [ ] Machine Learning - Integrate ML models
  • [ ] Web Interface - Create web-based tools
  • [ ] Monitoring & Analytics - Track performance

🏗️ Project Structure

mcp-learning-project/
├── src/                    # Source code
│   ├── core/              # Core MCP server
│   ├── modules/           # Individual modules
│   ├── shared/            # Shared utilities
│   └── web/               # Web interface
├── tests/                 # Test files
├── docs/                  # Generated documentation
├── config/                # Configuration files
├── scripts/               # Utility scripts
├── examples/              # Example usage
└── project-docs/          # Project documentation

🛠️ Available Modules

Text Processing Module

  • Word Count: Count words in text
  • Text Summarization: Create summaries
  • Language Detection: Detect text language
  • Sentiment Analysis: Analyze text sentiment

File Operations Module

  • File Reading: Read file contents
  • File Writing: Write data to files
  • Directory Operations: List, create, delete directories
  • File Format Conversion: Convert between formats

🧪 Testing

Run tests to ensure everything works:

python -m pytest tests/

📖 Documentation

🎯 Your First Steps

  1. Explore the code: Look at src/modules/text_processing/ to see how modules work
  2. Run examples: Try the examples in the examples/ folder
  3. Add your own module: Follow the template in src/modules/base/
  4. Test your changes: Use the testing framework

🤝 Contributing

This is a learning project! Feel free to:

  • Add new modules
  • Improve existing code
  • Fix bugs
  • Add documentation
  • Share your learning experiences

📝 License

This project is for educational purposes. Feel free to use and modify as needed.

🆘 Getting Help


Happy Learning! 🎉

Start with the basic modules and gradually add more complex features as you learn. Each module is designed to teach you different aspects of MCP development.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured