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Perplexity· PerplexityMCP vs. API: Definitions, Differences, and Use Cases
Explains MCP as an open standard for AI agents versus traditional APIs.
Perplexity's guide defines the Model Context Protocol (MCP) as an open standard enabling AI agents to access external systems, contrasting it with traditional APIs that connect applications via fixed endpoints.
MCP allows LLMs to discover and use up-to-date tools at runtime without client-side updates, while APIs remain preferable for high-volume data transfers and fixed workflows.
From the source
MCP, which stands for Model Context Protocol, is an open standard that AI agents use to access external systems: application functionality (tools), resources (including databases), and prompts.
