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How to Build and Test an MCP Server with MCP Inspector | MCP Prompts, Tools, and Resources Explained | CodeAuris Welcome back to CodeAuris! In this hands-on tutorial, we're taking the next big step in contextual AI development — building and testing your own MCP (Model Context Protocol) server from scratch. ✅ In this video, you'll learn how to: Build a fully functional MCP server using FastMCP Set up tools, resources, and prompts within the MCP framework Use the MCP Inspector UI to test and interact with your server Implement powerful capabilities like text-based search and email sending Understand the complete MCP lifecycle: from context initialization to structured responses 📚 What is MCP? The Model Context Protocol is an open standard that allows AI models to interact with real-world data, APIs, and tools in a structured, reusable, and secure way. It solves challenges like fragmented context, API inconsistency, and limited real-world access — making AI systems more intelligent and dynamic. 💡 Key Concepts Covered: MCP Server Architecture: server core, handlers, data sources, response layer Context Lifecycle: initialization, request, response Custom Tools: searchable knowledge base, dynamic email sender Resource Loading: expose internal files as structured data Prompt Templates: consistent, parameterized interactions Live Testing with MCP Inspector (GUI) 🌐 Demo Walkthrough with MCP Inspector: Run and test each component through the visual interface Explore prompts, resource outputs, and tool executions in real-time Validate email sending and search functions live ================================================ ⏱️ Video Timestamps – How to Build and Test an MCP Server with MCP Inspector | MCP Prompts, Tools, and Resources Explained | CodeAuris 00:00 - What is the Model Context Protocol (MCP) and Why It Matters 00:42 - How to Build an MCP Server from Scratch 01:03 - Model Context Protocol Explained in Simple Terms: What is MCP? 01:45 - Understanding MCP Server Architecture: Core, Handlers, APIs, and Response Layer 03:40 - How MCP Handles Context Initialization, Requests, and Responses: MCP Context Lifecycle 05:54 - MCP Server Project Setup: Key Components Overview 06:13 - Setting Up the MCP Server: Initialization & Configuration 07:06 - How to Build Custom Tools for Your MCP Server 08:37 - Build a Text Search Tool in MCP Using Python 09:59 - How to Create an Email Sending Tool with MCP 10:59 - Registering Custom Tools in MCP with Annotations 11:45 - Using MCP to Load and Serve Text Resources Dynamically 12:40 - Creating Custom Prompt Templates in MCP for AI Models ================================================ CodeAuris – your trusted partner for smart, scalable software solutions designed to power the future of your business. 🔹 What are specialize in: ✔️ AI software development ✔️ Custom software engineering ✔️ Cloud & DevOps solutions ✔️ Software consulting ✔️ Product lifecycle support 🔹 Our Mission - Help businesses: ✔️ Innovate faster ✔️ Scale smarter ✔️ Stay competitive in a fast-changing digital world 🔹 What We Deliver ✔️ Build intelligent AI systems ✔️ Modernize legacy platforms ✔️ Launch cutting-edge digital products ✔️ Tailor future-ready solutions to your unique needs #ModelContextProtocol #MCPServer #AIIntegration #LLMIntegration #AIProtocols #OpenSourceAI #AnthropicAI #AIDevelopment #AIWorkflow #AIStandards #APIsForAI #MCPExample #MongoDBAI #DockerForAI #AIAgents #DeveloperTools #KnowledgeManagement #AIApplications #SecureAI #ScalableAI #AIDataAccess #TechTutorial #AIInnovation #AIAutomation #AIContentGeneration #AIProductivity #AIProgramming #FeedbackLoop #AIForDevelopers #LLMTools #DeveloperTutorials #AI #ArtificialIntelligence #AICourse #LearnAI #AIForBeginners #TechExplained #SmartAgents #AItechnology #AITraining #AIOnlineCourse #AIProgram #PythonForAI #AIwithPython #CodingForAI #aitoolsforstudents #BuildWithAI #AIJobs #FutureOfWork #TechCareers #LearnToCode #AICommunity #AIStudents #TechEducation #OnlineLearning #EdTech #AIExplained #AIProjects #OnlineAICourse #FutureOfAI #CodeAuris