this repo is for linkedin learning course: Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"hands-on-ai-building-ai-agents-with-model-context-protocol-mcp-and-agent2agent-a2a-6055298": {
"command": "<see-readme>",
"args": []
}
}
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This is the repository for the LinkedIn Learning course Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A). The full course is available from [LinkedIn Learning][lil-course-url].
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This is the repository for the LinkedIn Learning course Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A). The full course is available from LinkedIn Learning.
This course introduces you to the Model Context Protocol (MCP) and Agent2Agent (A2A) communication frameworks essential for designing context-aware, collaborative AI agents. Explore MCP architectures, tools, and implementations, and learn how to build AI applications and agents that leverage rich contextual understanding. Additionally, instructor Kumaran Ponnambalam dives into A2A's structure, workflow, and practical applications, helping you gain hands-on experience with multi-agent ecosystems. Check out this course to gain the practical knowledge to design, implement, and execute intelligent, interconnected AI agents in real-world scenarios.
Kumaran Ponnambalam
Working with data for 20+ years