Getting Started with Model Context Protocol (MCP)
Chapter 1: Architecture and Fundamentals
The MCP Specification Overview
Client-Host-Server Topology
JSON-RPC Message Structure
Transport Mechanisms: Stdio and SSE
Capabilities Negotiation
Hands-on Practice: Environment Setup
Chapter 2: Defining Resources and Prompts
Concept of Resources in MCP
URI Schemes and Patterns
Implementing Synchronous Resource Reads
Resource Subscriptions and Notifications
Structuring Prompts
Hands-on Practice: Building a File Reader Server
Chapter 3: Implementing Tools and Logic
Tool Definition Schema
Input Validation with Pydantic
Executing External API Calls
Error Handling and Reporting
Designing Computed Resources
Hands-on Practice: Creating a Database Tool
Chapter 4: Debugging and Client Integration
Using the MCP Inspector
Analyzing Log Output
Configuration for Claude Desktop
Managing Environment Variables
Handling Connection Lifecycles
Hands-on Practice: End-to-End Integration
Configuration for Claude Desktop
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- JSON-RPC 2.0 Specification, JSON-RPC Working Group, 2010 - Standard that defines the message format and protocol for remote procedure calls over various transport layers, including standard I/O, relevant for MCP server communication.
subprocess- Subprocess management, Python Software Foundation, 2024 Python Documentation - Official Python library documentation detailing how to interact with operating system processes, covering execution, standard I/O management, and environment variable configuration for spawned child processes.venv- Creation of virtual environments, Python Software Foundation, 2024 Python Documentation - Official Python documentation providing instructions for creating and using virtual environments to isolate project dependencies, which helps maintain clean and reproducible server configurations.
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