MCP Servers Learning Project

This repository contains examples and implementations of Model Context Protocol (MCP) servers and clients. MCP is a protocol that allows LLMs like Claude to interact with external tools and data sources in a standardized way.

Project Structure

The repository is organized into several modules, each focusing on different aspects of MCP:

1. Quickstart Resources

The 1_quickstart-resources directory contains sample implementations of MCP clients and servers to help you get started:

• mcp-client-python: A Python client implementation for connecting to MCP servers
• mcp-client-typescript: A TypeScript client implementation for connecting to MCP servers
• weather-server-python: A sample Python MCP server that provides weather information
• weather-server-typescript: A sample TypeScript MCP server that provides weather information

These examples demonstrate basic MCP concepts and provide starting points for your own implementations.

2. MCP Documentation Server

The 2_mcpdoc directory contains a specialized MCP server for serving documentation:

• Implements an MCP server that can retrieve and serve documentation from various sources
• Includes configuration examples and a robust project structure
• Demonstrates advanced MCP concepts like error handling and resource management

3. Terminal Server

The 3_building_securing_and_containerizing_mcp_server directory contains a custom MCP server implementation that:

• Exposes a terminal command execution tool allowing access to system commands
• Provides a resource for accessing MCP documentation
• Demonstrates proper error handling and input validation
• Shows how to implement both tools and resources in a single server

Getting Started

Prerequisites

• Python 3.10 or higher
• MCP SDK 1.2.0 or higher
• For TypeScript examples: Node.js and npm

Installation

# For Python dependencies
uv add "mcp[cli]" httpx

# Or with pip
pip install "mcp[cli]" httpx

Running MCP Servers

You can run any of the MCP servers using:

# With Python directly
python <path_to_server.py>

# Or with the MCP CLI
mcp dev <path_to_server.py>

For example, to run the terminal server:

python 3_building_securing_and_containerizing_mcp_server/server.py

# Or
mcp dev 3_building_securing_and_containerizing_mcp_server/server.py

Connecting to Claude Desktop

To connect an MCP server to Claude Desktop:

mcp install <path_to_server.py>

Key Concepts

• Tools: Functions that can be called by Claude to execute code or produce side effects
• Resources: Data exposed to Claude that can be read and referenced
• Prompts: Templates for structuring interactions with Claude

Contributing

Feel free to extend and modify these examples for your own use cases. If you develop a useful MCP server, consider sharing it with the community!

Resources

• Model Context Protocol Documentation
• MCP Python SDK
• Claude Desktop