#mcp (41)
- Foundational Protocols for Agentic Developer AI Workflows
Understand how Agent Client Protocol and Model Context Protocol standardize AI agent integration, enabling advanced agentic developer workflows in IDEs.
- Understanding ACP and MCP in Agentic IDE Workflows
Learn to differentiate the Agent Client Protocol and Model Context Protocol, understanding their unique contributions to AI agent integration in IDEs.
- Scaling, Resilience, and Observability for AI Agents
Learn to architect scalable, resilient, and observable AI agent workflows, ensuring effective integration into production developer environments.
- AIPack: Building Production-Ready AI Agents
Learn to build, run, and share robust AI agents for production workflows using AIPack, covering architecture, multi-stage agents, Lua logic, and VS Code integration.
- Streamline AI Agent Development with VS Code and MCP
Efficiently develop AI agents by integrating Visual Studio Code and the Multi-Agent Communication Protocol for streamlined debugging and improved workflows.
- Real-World Project: AI-Assisted Python Debugging Agent
Build an AI-assisted Python debugging agent with AIPack. Learn to integrate AI into your debugging workflow, leveraging MCP and multi-stage agents to identify and propose fixes for Python errors.
- Build Context-Aware Systems with MCP and TypeScript
Master the Model Context Protocol to design, implement, and deploy robust context-aware systems using the official TypeScript SDK effectively.
- Solving the AI Context Problem with Model Context Protocol (MCP)
You will understand the critical context problem for AI tools and how the Model Context Protocol provides a robust, standardized solution.
- Solving the AI Context Problem with Model Context Protocol (MCP)
You will understand the critical context problem for AI tools and how the Model Context Protocol provides a robust, standardized solution.
- Defining Context: MCP Schemas, Data Models, and Dynamic Negotiation
Explore how Model Context Protocol uses JSON Schema to define structured context, design custom data models, and implement dynamic negotiation between clients and servers for robust intelligent tools.
- MCP Core Protocol Messages, Context Lifecycle, State Management
Understand the core Model Context Protocol message types, context session lifecycle, and state management to build robust, intelligent applications.
- Defining Context: MCP Schemas, Data Models, and Dynamic Negotiation
Explore how Model Context Protocol uses JSON Schema to define structured context, design custom data models, and implement dynamic negotiation between clients and servers for robust intelligent tools.
- MCP Core Protocol Messages, Context Lifecycle, State Management
Understand the core Model Context Protocol message types, context session lifecycle, and state management to build robust, intelligent applications.
- Build Your First MCP Client with TypeScript SDK
Learn to build your first Model Context Protocol client using the TypeScript SDK, send structured context, and apply client-side best practices.
- Build Your First MCP Client with TypeScript SDK
Learn to build your first Model Context Protocol client using the TypeScript SDK, send structured context, and apply client-side best practices.
- Build a TypeScript MCP Server for AI Context
Build a TypeScript MCP server to define and resolve dynamic context, empowering intelligent AI tools with relevant, real-time data.
- MCP Extensions: Diving into MCP Apps and Crafting Custom Solutions
Explore MCP extensions, focusing on the MCP Apps specification, and learn to design and implement custom context solutions for dynamic tool interaction.
- Build a TypeScript MCP Server for AI Context
Build a TypeScript MCP server to define and resolve dynamic context, empowering intelligent AI tools with relevant, real-time data.
- MCP Extensions: Diving into MCP Apps and Crafting Custom Solutions
Explore MCP extensions, focusing on the MCP Apps specification, and learn to design and implement custom context solutions for dynamic tool interaction.
- Advanced MCP Interaction Patterns and Resilient Error Handling
Explore advanced Model Context Protocol patterns like subscriptions and batching, and implement robust error handling strategies for resilient MCP systems.
- Secure, Optimize, and Monitor MCP Deployments for Production
Master securing, optimizing, and monitoring Model Context Protocol deployments to build robust, production-grade intelligent applications.
- Advanced MCP Interaction Patterns and Resilient Error Handling
Explore advanced Model Context Protocol patterns like subscriptions and batching, and implement robust error handling strategies for resilient MCP systems.
- Secure, Optimize, and Monitor MCP Deployments for Production
Master securing, optimizing, and monitoring Model Context Protocol deployments to build robust, production-grade intelligent applications.
- Debugging and Troubleshooting MCP Implementations
Develop the skills to diagnose and resolve issues in Model Context Protocol clients and servers within complex distributed systems effectively.
- Debugging and Troubleshooting MCP Implementations
Develop the skills to diagnose and resolve issues in Model Context Protocol clients and servers within complex distributed systems effectively.
- Design & Architect Production-Ready MCP Applications
Readers will learn to architect robust, scalable, and secure MCP applications, ensuring reliability and performance in production environments.
- Designing Scalable & Secure MCP Applications for Production
Design and architect Model Context Protocol applications for production, ensuring they are scalable, secure, performant, and resilient under real-world loads.
- Integrate AI Agents with Tools using Model Context Protocol (MCP)
Learn to integrate AI agents with external tools using the Model Context Protocol, covering tool schemas, registration, and practical applications.
- Modern AI Engineering: Core Concepts & Emerging Topics (2026)
A structured overview of the most important and trending AI engineering topics in 2026, covering agent systems, context engineering, infrastructure, and modern AI workflows.
- Invoke External Tools with LangChain.js AI Agents and MCP
Integrate custom Model Context Protocol tools into LangChain.js AI agents to enable them to query information and interact with external services.
- Understand Model Context Protocol for AI Agent Tool Integration
After reading, you will understand how the Model Context Protocol enables AI agents to discover and interact with external tools and data.
- Building Full MCP Applications: UI, Async, Security
Readers will learn to design, implement, and secure Model Context Protocol applications, integrating UI resources, async patterns, and secure deployment.
- Orchestrating MCP Tool Execution & Request Routing
Learn how Model Context Protocol orchestrates tool execution and request routing, empowering AI agents to interact with external tools effectively.
- Register and Discover AI Agent Tools Using the MCP
After this chapter, you will register custom MCP tools and understand how AI agents discover and utilize them, including UI resources.
- Security Best Practices for AI Agent Integrations with MCP
Implement robust permissions, authorization, and security best practices to protect AI agent integrations and sensitive data within the MCP ecosystem.
- Set Up Your MCP Development Environment with TypeScript SDK v2
Configure your local development environment for the Model Context Protocol by installing Node.js, TypeScript, and the MCP TypeScript SDK v2.
- Integrate AI Tools for Agents Using Model Context Protocol (MCP)
Learn to define, register, and utilize AI tools with the Model Context Protocol, covering schemas, execution, routing, permissions, and security.
- Crafting MCP Tool Schemas for AI Agent Capabilities & UI
Learn to craft robust MCP tool schemas using TypeScript and JSON Schema, empowering AI agents to understand and effectively utilize custom tools.
- The Model Context Protocol (MCP)
Learn about the Model Context Protocol (MCP) in AWS Kiro, its role in facilitating communication and context sharing among AI agents.
- Security Best Practices for Kiro Development
Learn how to implement robust security best practices for AWS Kiro development workflows.
- MCP - Model Context Protocol: A Guide for AI Agent Developers
Learn how to master MCP, the open standard for AI agent development, and build your own MCP servers.