Janakiram MSV (Jani) is a practicing architect, research analyst, and advisor to Silicon Valley startups. He focuses on the convergence of modern infrastructure powered by cloud-native technology and machine intelligence driven by generative AI.
AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis on one of the most important pieces of the agentic puzzle: the integration of legacy systems and enterprise line-of-business applications.
Anthropic has already developed SDKs for Python and TypeScript, along with prebuilt servers for enterprise systems like Google Drive, Slack, GitHub and Postgres.While there are many frameworks to build AI agents, almost all of them rely on the tools that exploit the function-calling capabilities of the LLM. Though it is the right approach, this mechanism limits the number of tools and functions the LLM can map to a prompt or query.
In contrast, MCP is specifically tailored for AI model integration with external data sources, supporting bidirectional communication and enabling more dynamic AI interactions. It focuses on simplifying AI integration across various tools and platforms.
Model Context Protocol AI Agents Agentic Workflows
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