This repository provides a tutorial series for Python developers to learn and build Model Context Protocol (MCP) servers. It targets developers who want to create interactive learning applications or AI research tools, offering a structured approach to understanding MCP concepts and practical implementation.

How It Works

The tutorial series guides users through setting up a development environment with VS Code and Python 3.12+, explaining MCP fundamentals and its client-server architecture. It then progresses to building two distinct applications: a "Python Study Buddy" for interactive learning and an "AI Research Learning Hub" for discovering and summarizing AI research papers. The approach emphasizes practical application through hands-on coding exercises.

Quick Start & Requirements

• Installation: Install VS Code, Python 3.12+, and the Python extension for VS Code. Install uv via pip install uv. Create and activate a virtual environment (python -m venv mcp-env). Install packages using uv sync --active.
• Prerequisites: Python 3.12+, VS Code.
• Running: Execute python part-1-concepts.py to walk through core concepts.
• Resources: MCP Official Documentation, Python MCP SDK Repository, Python MCP Examples, Quick Start Python MCP Demo, ArXiv API Documentation, Papers With Code API.

Highlighted Details

• Build an interactive Python Study Buddy app with progress tracking and personalized coding challenges.
• Develop an AI Research Learning Hub to find trending papers, create study plans, and summarize research.
• Utilizes dataclasses for Python models and integrates with external APIs like ArXiv.
• Offers practical examples for automating tasks and enhancing learning experiences with AI assistants.

Maintenance & Community

This is an open-source tutorial, encouraging contributions for improvements, examples, and implementations. Community interaction is fostered through discussions.

Licensing & Compatibility

The repository is open source, with no specific license mentioned in the provided text. Compatibility for commercial use or closed-source linking is not detailed.

Limitations & Caveats

The tutorial series is presented as a guide, and specific limitations or caveats such as alpha status, known bugs, or deprecations are not mentioned in the provided README.