Agentic AI from Front to Back: A2UI Rendering, LLM Function-Calling, and MCP Tool Dispatch

📰 Medium · LLM

Learn how to design an end-to-end agentic architecture using A2UI rendering, LLM function-calling, and MCP tool dispatch

advanced Published 19 Jun 2026

Action Steps

Design an A2UI rendering system to handle user input and output
Implement LLM function-calling to enable the AI system to perform tasks and make decisions
Configure MCP tool dispatch to manage and orchestrate the AI system's workflows
Integrate the A2UI rendering system with the LLM function-calling and MCP tool dispatch components
Test and refine the end-to-end agentic architecture to ensure it meets the required specifications and performance standards

Who Needs to Know This

This article is relevant to AI engineers, software engineers, and product managers who want to design and implement agentic AI systems. It provides a comprehensive overview of the architecture and technologies involved.

Key Insight

💡 An end-to-end agentic architecture requires the integration of multiple components, including A2UI rendering, LLM function-calling, and MCP tool dispatch, to enable the AI system to perform tasks and make decisions autonomously.

Key Takeaways

Learn how to design an end-to-end agentic architecture using A2UI rendering, LLM function-calling, and MCP tool dispatch

Full Article

Title: Agentic AI from Front to Back: A2UI Rendering, LLM Function-Calling, and MCP Tool Dispatch

URL Source: https://medium.com/@dennisholee/agentic-ai-from-front-to-back-a2ui-rendering-llm-function-calling-and-mcp-tool-dispatch-e4f871391ada?source=rss------llm-5

Published Time: 2026-06-19T05:56:39Z

Markdown Content:
# Agentic AI from Front to Back: A2UI Rendering, LLM Function-Calling, and MCP Tool Dispatch | by Dennis Lee | Jun, 2026 | Medium

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# Agentic AI from Front to Back: A2UI Rendering, LLM Function-Calling, and MCP Tool Dispatch

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