The Model Context Protocol (MCP) was introduced by Anthropic in November 2024, aiming to revolutionize GenAI engineering. MCP allows engineers to implement various tools based on specific use cases, directly connecting LLMs from familiar IDEs or desktop clients like Claude. The protocol introduces main constructs, including MCP clients, servers, tools, resources, and prompts. MCP servers execute functions through tools, refer to external data via resources, and utilize prompts for quick user guidance. This approach simplifies the selection and extension of LLM capabilities, facilitating broader application development. There is an ongoing growth of available MCP servers and SDKs in multiple languages.
The Model Context Protocol (MCP), introduced by Anthropic in November 2024, allows AI engineers to implement tools and direct LLMs from their IDEs.
With MCP, AI engineering avoids the cumbersome evaluation of LLM capabilities, enabling selection and extension of tools and resources for specific use cases.
MCP servers are defined by their capabilities, including tools for executing functions, resources for external data, and prompts for guiding interactions.
Numerous MCP servers are now available for applications, and developers can create their own MCP servers leveraging SDKs in languages like Golang.
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