MCP Redefines How AI Agents Discover and Use Tools, Moving Beyond REST

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Model Context Protocol (MCP), originally developed by Anthropic, is gaining rapid enterprise adoption as a standardized way for large language models to discover and invoke tools without human-written custom integrations. Unlike REST, which was designed for developers manually translating intent into HTTP calls, MCP is a session-oriented, bidirectional protocol that keeps connections open and allows servers to push state back to the model mid-task. A key architectural advantage is MCP's separation of capability discovery from invocation, enabling agents to dynamically query what tools are available rather than relying on hardcoded system prompts. This makes multi-tenant AI platforms more flexible, as different tool sets can be served to different users from the same agent runtime without rewriting configurations. Growing enterprise interest, illustrated by Cognizant's expanded Anthropic partnership for Claude-powered workflows, signals that MCP is shifting from an experimental spec to a practical infrastructure standard.

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