Exploring Model Context Protocol Client

  • Release version: Australia
  • Updated March 12, 2026
  • 1 minute to read

    • The Model Context Protocol (MCP) is a standardized client-server protocol that enables AI applications to discover and interact seamlessly with external tools, data sources, and services. MCP facilitates communication between an AI host application (like AI Agent Studio), an MCP Client embedded in the host, and one or more MCP Servers that expose specific capabilities such as tools.

    Model Context Protocol Client terminology

    • MCP Host: The AI application environment where the tasks are initiated.
    • MCP Client: Manages communication between the host and the MCP Servers, handling the requests and responses.

      The MCP Client architecture enables AI agents to extend their capabilities by invoking external systems dynamically, enabling tasks like accessing APIs, databases, or file systems in a standardized way.

    • MCP Server: Provides external functionalities by exposing tools for AI agents to use.
    • MCP Tools: The external tools exposed by the MCP Servers to be used by AI agents.

    Why use MCP Tools

    MCP tools enable seamless integration to:
    • Connect your AI agent with a wide variety of external tools with minimal setup.
    • Add multiple MCP tools to an AI agent to perform a broader range of tasks.
    • Review and edit tool input parameters as needed before saving.