From f674086dee25f18cefcd4c89ff5bfed833a18f6a Mon Sep 17 00:00:00 2001 From: Zachary Lee Date: Tue, 10 Dec 2024 18:04:33 -0500 Subject: [PATCH] changed analogy --- introduction.mdx | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/introduction.mdx b/introduction.mdx index f9a1224..bc4d829 100644 --- a/introduction.mdx +++ b/introduction.mdx @@ -3,12 +3,7 @@ title: Introduction description: 'Get started with the Model Context Protocol (MCP)' --- -MCP is an open protocol that standardizes how applications provide context to LLMs. Think of it as the "Language Server Protocol for AI" - it separates the concerns of providing context from the LLM interaction itself. This separation enables: - -- **Modularity**: Each MCP server focuses on one specific integration or capability -- **Reusability**: The same server can be used with any MCP-compatible client -- **Composability**: Multiple servers can be combined to create powerful workflows -- **Standardization**: A common protocol for all integrations reduces complexity +MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. ## Why MCP?