How AI Agents Use MCP to Understand and Supercharge Your Business

AI agents can automate business workflows by connecting to applications like Salesforce and Jira, but integrating with numerous APIs is a major challenge. The Model Context Protocol (MCP) is an open standard designed to solve this by creating a common language for AI to discover and use external tools. However, providing an LLM with too many tools at once can cause "tool overload," leading to confusion and poor performance. To address this, techniques like progressive discovery guide the agent through a step-by-step decision process, showing only relevant options at each stage. This structured approach dramatically improves the accuracy and reliability of AI agents in complex, real-world environments.