Solving the Identity Sprawl: How to Achieve Holistic IGA with Integrated Open-Source Tools
Achieving holistic IGA is critical to achieve the identity sprawl issue, and open-source tools, offer a robust and flexible path forward.
Knowing the difference beetween a MCP and an AI Agent helps you choose the right approach for your needs.
Think of an MCP (Model Context Protocol) as a “universal USB-C cable” created by Anthropic to connect applications and systems with language models — without the need to build APIs or custom integrations. It enables seamless, standardized communication with LLMs like Claude, ChatGPT, Gemini or LLama.
An AI Agent is a more advanced entity. It may be powered by one or several MCP Servers, and it can either include a chat interface or operate fully in the background — executing actions, making decisions, and automating processes across your environment.
The key difference between an MCP Server and an AI Agent is this:
Knowing this difference helps you choose the right approach for your needs.
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