This MCP server provides a hands-on learning environment for exploring the Model Context Protocol (MCP) by running a Python package focused on MCP tools and workflows. It includes server and client configurations, example sessions, and documentation to experiment with model-context interactions, sessions, and messaging patterns. Use the server to spin up MCP-enabled services, then connect with the included MCP client configurations to send requests, inspect responses, and understand how context is established, shared, and managed across components. The project emphasizes practical usage, including creating, modifying, and testing MCP sessions with guided examples and configurations.

Prerequisites:

• Python 3.8+ is installed on your system
• pip is available
• Optional: virtual environment support (venv/virtualenv)

Installation steps:

1. Create and activate a virtual environment (optional but recommended): python -m venv venv

   On Windows

   venv\Scripts\activate

   On macOS/Linux

   source venv/bin/activate

2. Install the MCP learning package from PyPI: pip install mcp-learning

3. Run the MCP server (as a module): python -m mcp_learning

4. Verify installation by checking help or version commands if provided by the package, or run example sessions documented in the repository.

Notes:

• If you prefer not to install system-wide, use a virtual environment or containerized setup to isolate dependencies.

Tips and common considerations:

• The server name in your mcp_config should reflect the actual project or session you’re running; here it is learn-model-context-protocol.
• If you encounter port or binding issues, check any environment variables or config files referenced by the mcp-learning package for MCP server defaults.
• Review the documentation under docs/ for installation, examples, and server/client configurations to tailor sessions to your needs.
• Ensure Python packages are up to date to avoid compatibility issues with MCP tooling.
• If using containers or deployments, consider binding appropriate ports and persisting session state as needed by your experiments.