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## Overview
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The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This TypeScript SDK implements
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[the full MCP specification](https://modelcontextprotocol.io/specification/latest), making it easy to:
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[the full MCP specification](https://modelcontextprotocol.io/specification/draft), making it easy to:
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- Create MCP servers that expose resources, prompts and tools
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- Build MCP clients that can connect to any MCP server
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### Tools
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[Tools](https://modelcontextprotocol.io/specification/latest/server/tools) let LLMs take actions through your server. Tools can perform computation, fetch data and have side effects. Tools should be designed to be model-controlled - i.e. AI models will decide which tools to call,
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[Tools](https://modelcontextprotocol.io/specification/draft/server/tools) let LLMs take actions through your server. Tools can perform computation, fetch data and have side effects. Tools should be designed to be model-controlled - i.e. AI models will decide which tools to call,
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and the arguments.
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```typescript
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### Resources
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[Resources](https://modelcontextprotocol.io/specification/latest/server/resources) can also expose data to LLMs, but unlike tools shouldn't perform significant computation or have side effects.
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[Resources](https://modelcontextprotocol.io/specification/draft/server/resources) can also expose data to LLMs, but unlike tools shouldn't perform significant computation or have side effects.
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Resources are designed to be used in an application-driven way, meaning MCP client applications can decide how to expose them. For example, a client could expose a resource picker to the human, or could expose them to the model directly.
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### Prompts
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[Prompts](https://modelcontextprotocol.io/specification/latest/server/prompts) are reusable templates that help humans prompt models to interact with your server. They're designed to be user-driven, and might appear as slash commands in a chat interface.
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[Prompts](https://modelcontextprotocol.io/specification/draft/server/prompts) are reusable templates that help humans prompt models to interact with your server. They're designed to be user-driven, and might appear as slash commands in a chat interface.
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