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
Using the MCP Inspector
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- Model Context Protocol (MCP) Official Website and Specification, Model Context Protocol Community, 2024 - Provides the official specification, tooling information, and guidelines for implementing MCP servers and clients, including details relevant to the Inspector.
- JSON-RPC 2.0 Specification, JSON-RPC Working Group, 2010 - Defines the remote procedure call protocol using JSON, which is fundamental to the communication between the MCP Inspector and the server.
- JSON Schema: A vocabulary for validating JSON documents, JSON Schema Working Group, 2020 - Official documentation for JSON Schema, which is used to define the structure and validation rules for tool inputs in MCP servers.
logging- Logging facility for Python | Python Documentation, Python Software Foundation, 2024 (Python Software Foundation) - Official documentation for Python's logging module, providing guidance on configuring logs, including directing output to standard error to avoid corrupting standard output streams.
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