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MCP vs Function Calling: When You Don't Actually Need Model Context Protocol

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Model Context Protocol (MCP), an open protocol developed by Anthropic, has become a buzzword in AI agent development, but experts argue it is not always the right tool for the job. Before MCP existed, developers had to write custom integration code for every AI application connecting to external services like GitHub or Slack. Alternatives such as function calling, introduced by OpenAI in 2023, allow developers to pass tool signatures directly to a large language model without any MCP overhead. Crucially, the underlying model cannot distinguish between a tool delivered via MCP and one delivered through direct function calling, as both produce identical JSON structures. MCP does carry real drawbacks, including large context overhead when connecting to a server, making simpler approaches preferable for lightweight or single-service use cases.

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