# Perplexity — MCP vs. API: Definitions, Differences, and Use Cases

- Company: Perplexity (perplexity.ai)
- Announced: 2026-09-28
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.perplexity.ai/hub/blog/mcp-vs-api
- Record: https://forck.live/items/14843-mcp-vs-api-definitions-differences-and-use-cases
- Subject: Perplexity

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.

## Evidence

Verbatim from https://www.perplexity.ai/hub/blog/mcp-vs-api:

> 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.

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Record: https://forck.live/items/14843-mcp-vs-api-definitions-differences-and-use-cases
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