Anthropic's Model Context Protocol aims to standardize how AI connects to external tools

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Anthropic has introduced the Model Context Protocol (MCP), an open standard designed to eliminate the need for custom integration code every time an AI application connects to an external tool or data source. The problem MCP addresses is familiar to AI developers: integrating a handful of tools is manageable, but scaling to dozens or hundreds creates a maintenance burden, especially when providers change their APIs. MCP works similarly to how REST APIs standardized communication between web clients and backend services, but applies that same principle to the relationship between large language models and external tools. Under MCP, tool providers implement the standard on their own end, meaning any MCP-compliant AI assistant can connect to any MCP-compliant service without bespoke glue code. When a provider updates their service, they update their own MCP server, leaving the developer's integration code untouched.

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