Learning-Assistant-MCP

An educational MCP (Model Context Protocol) server that helps developers learn, understand code, and improve their programming skills through AI-powered tools.

This MCP server provides 8 powerful learning tools:
- explainConcept- Get simple explanations of programming concepts with examples
- reviewCode- Get constructive feedback on your code with improvement suggestions
- suggestBestPractice- Learn industry best practices for any programming task
- compareApproaches- Compare different solutions and understand tradeoffs
- generateLearningPath- Get a structured roadmap to learn any technology
- debugHelper- Understand and fix errors with guided debugging help
- explainThisCode- Get detailed explanations of how code works
- quizMe- Test your knowledge with auto-generated practice questions

- Node.js 18.0.0 or higher
- Cursor IDE or any MCP-compatible client

git clone https://github.com/YOUR_USERNAME/learning-assistant-mcp.git cd learning-assistant-mcp

- Configure your MCP client (e.g., Cursor IDE):

{ "mcpServers": { "learning-assistant": { "command": "node", "args": [ "/absolute/path/to/learning-assistant-mcp/dist/index.js" ] } } }

Replace/absolute/path/to/learning-assistant-mcpwith the actual path where you cloned the repository.

Once installed, you can use the tools in Cursor Chat:

- "Explain what closures are in JavaScript for a beginner"
- "Review this code and suggest improvements"
- "What are the best practices for error handling in React?"
- "Compare REST API vs GraphQL"
- "Create a learning path to master TypeScript"
- "Help me debug this error: Cannot read property 'map' of undefined"
- "Explain what this regex pattern does: /^[a-z]+$/i"
- "Quiz me on JavaScript async/await with 5 questions"

# Run in development mode npm run dev # Build TypeScript npm run build # Run the built server npm start

learning-assistant-mcp/ ├── src/ │ └── index.ts # Main server implementation ├── dist/ # Compiled JavaScript (generated) ├── package.json ├── tsconfig.json └── README.md

Explains programming concepts in beginner-friendly terms.

- concept(string): The concept to explain
- level(optional): "beginner" | "intermediate" | "advanced"
- language(optional): Programming language context

Reviews code and provides constructive feedback.

- code(string): Code to review
- language(string): Programming language
- context(optional): What the code should do
- focusAreas(optional): Array of focus areas

Suggests best practices for programming tasks.

- task(string): The task or area
- technology(optional): Specific framework/library
- currentApproach(optional): Your current approach

Compares different programming approaches.

- problem(string): The problem to solve
- approaches(array): List of approaches to compare
- criteria(optional): Comparison criteria

- topic(string): What to learn
- currentLevel: Your current level
- goalLevel: Target proficiency
- timeCommitment(optional): Available time

- error(string): Error message or bug description
- code(optional): Relevant code
- language(optional): Programming language
- context(optional): What you were doing

- code(string): Code to explain
- language(string): Programming language
- detailLevel(optional): "overview" | "detailed" | "line-by-line"

- topic(string): Topic to quiz on
- difficulty(optional): "easy" | "medium" | "hard"
- questionCount(optional): Number of questions (1-10)
- questionType(optional): Type of questions

Contributions are welcome! Please feel free to submit a Pull Request.

MIT License - see LICENSE file for details

If you have questions or need help, please open an issue on GitHub.

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