MCP Learning Project
Provides environment configuration management through .env files for application settings and secrets
Enables comprehensive file operations including reading, writing, directory management, and file format conversion
Supports Git version control operations for cloning repositories and managing source code
Integrates Python testing framework for running automated tests and validation
Built on Python runtime providing text processing, file operations, and extensible module system for MCP development
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Learning Projectcount the words in this sample text"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
π Quick Start
Prerequisites
Python 3.8 or higher
Git
VS Code or Cursor (recommended)
Installation
Clone the repository (if using Git):
git clone <your-repo-url> cd mcp-learning-projectInstall dependencies:
pip install -r requirements.txtSet up environment:
cp .env.example .env # Edit .env with your configurationRun the basic server:
python src/main.py
Related MCP server: MCP Learning Project
π Learning Path
Phase 1: Foundation (Start Here!)
Basic MCP Server - Learn fundamental MCP concepts
Text Processing Module - Handle text manipulation tasks
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
ποΈ Project Structure
mcp-learning-project/
βββ src/ # Source code
β βββ core/ # Core MCP server
β βββ modules/ # Individual modules
β βββ shared/ # Shared utilities
β βββ web/ # Web interface
βββ tests/ # Test files
βββ docs/ # Generated documentation
βββ config/ # Configuration files
βββ scripts/ # Utility scripts
βββ examples/ # Example usage
βββ project-docs/ # Project documentationπ οΈ 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
π§ͺ Testing
Run tests to ensure everything works:
python -m pytest tests/π Documentation
π― Your First Steps
Explore the code: Look at
src/modules/text_processing/to see how modules workRun examples: Try the examples in the
examples/folderAdd your own module: Follow the template in
src/modules/base/Test your changes: Use the testing framework
π€ Contributing
This is a learning project! Feel free to:
Add new modules
Improve existing code
Fix bugs
Add documentation
Share your learning experiences
π License
This project is for educational purposes. Feel free to use and modify as needed.
π Getting Help
Check the documentation
Look at the examples
Review the test files for usage examples
Happy Learning! π
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.
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