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introduction.mdx

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description: 'Get started with the Model Context Protocol (MCP)'
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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:
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- **Modularity**: Each MCP server focuses on one specific integration or capability
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- **Reusability**: The same server can be used with any MCP-compatible client
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- **Composability**: Multiple servers can be combined to create powerful workflows
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- **Standardization**: A common protocol for all integrations reduces complexity
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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.
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## Why MCP?
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