Channel: IBM Technology
Date Published: 2025-07-29
Summary
The Model Context Protocol (MCP) is presented as a transformative technology that standardizes the way AI models interact with various tools and APIs, likening it to a universal interface (USB-C) for AI agents. It eliminates the need for custom integrations, simplifying the connection of AI models to repositories, communication platforms, and other services.
The protocol involves a user prompt sent to an MCP client, which determines the user’s intent, selects the appropriate tools via the MCP server, calls external APIs, and returns the results. The MCP host runs the main application and contains the client, while the MCP server houses the tools, resources, and prompts needed for the AI to function.
Real-world use cases highlight MCP’s benefits. In GitHub, MCP automates repository management, issue handling, pull requests, and security vulnerability scanning, freeing developers from routine tasks. In customer support, MCP enables AI to access customer databases, billing systems, and knowledge bases to resolve issues like password resets and billing inquiries automatically, resulting in faster support, reduced workload for human teams, and improved scalability.
MCP is portrayed as a game-changer, enabling teams to build applications that operate at a higher level of efficiency and effectiveness.
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