MCP standardizes integrations, enabling AI agents to scale and be reused across various business workflows, ensuring consistent connectivity and reduced integration complexity.

By combining knowledge retrieval, task execution, and seamless system connectivity, AI agents can streamline workflows, automate processes, and reduce friction between multiple systems, improving operational efficiency.

MCP (Model Context Protocol) provides a standardized connection for AI agents to interact with enterprise systems like Salesforce, SAP, or HR platforms, removing the need for custom connectors and complex integrations.

Native tools like web search, API calls, and file operations allow AI agents to execute actions, such as verifying data, making calculations, and updating systems, making them more than just conversational agents.

RAG enables AI agents to retrieve domain-specific knowledge from organizational data, ensuring accurate and grounded responses instead of relying on generic model knowledge.