Model Context

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The Model Context Protocol (MCP) establishes a standardized client-server architecture for artificial intelligence models, particularly Large Language Models (LLMs), to effectively communicate with and utilize server-side assets. It provides a structured framework for defining and exposing tools, resources, prompts, and sampling mechanisms, allowing LLMs to extend their capabilities by interacting with external functionalities and data sources in a controlled environment.

Características Principales

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• Standardized client-server architecture for LLM interaction
• Support for dynamic parameter input for functions and data access
• VS Code integration for server management and tool access
• Integration of server-defined tools, resources, prompts, and sampling
• Interactive command-line interface (CLI) client for server interaction

Casos de Uso

• Enabling LLMs to retrieve and utilize external data resources
• Providing structured prompts and sampling for refined LLM outputs
• Allowing LLMs to execute external tools and functions