Author: Joevishah Mergil

Joevishah Mergil is a skilled AI/ML Engineer with expertise in designing and developing production-grade Generative AI applications, Agentic AI solutions, and multi-agent systems. She is proficient in Python, LangGraph, CrewAI, FastAPI, and Azure, with a strong focus on building scalable AI services, RAG pipelines, and intelligent agent workflows. She has expertise in developing MCP-enabled AI systems, integrating external tools with AI agents, and creating autonomous, context-aware applications that deliver real-world business value. Passionate about innovation and continuous learning, she enjoys exploring emerging AI technologies and applying them to solve complex business challenges.

How MCP Architecture Scales AI Systems: Sampling & Roots Explained

by Joevishah Mergil

Evolution of Model Context Protocol AI Architecture Most AI applications follow a familiar pattern: You call a model, it generates a response, and then the process repeats.  This approach works well for simple use cases. However, as systems grow to include multiple models, external tools, and diverse user needs, architectural limitations begin to surface. Modern…