MCP & A2A

Model Context Protocol and agent-to-agent communication patterns.

Overview

Category Overview

This category covers the interoperability layer for modern AI systems: tools, context transfer, and structured agent communication.

Objectives

Clear outcomes for what each category will help you understand and build.

Understand why protocol-driven AI integrations matter.

Learn the role of context and tool contracts.

Recognize where standards help platform scalability.

Prepare for future implementation examples later.

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This category is ready for future learning content. Articles will be added later without changing the navigation or page architecture.

Practical examples that connect the category to real-world implementation.

Indian classical music AI assistant with context-aware knowledge retrieval

Scalable retrieval system for querying enterprise knowledge bases

Useful starting points and supporting materials for this category.

Visual system designs for production AI systems

Ready-to-use project templates and boilerplates

Open-source projects and reference implementations