Model Context Protocol (MCP)

Model Context Protocol (MCP) is a standardized framework that governs how AI models and agents maintain, share, and utilize contextual information across interactions and sessions. This protocol ensures consistent memory retention, enabling AI agents to access previous conversations, task states, and learned preferences while maintaining coherent understanding throughout extended workflows. MCP defines the structure for context storage, retrieval mechanisms, and context sharing between different AI systems or agent instances. It addresses critical challenges in conversational AI and agent-based systems by preventing context loss, enabling seamless handoffs between agents, and maintaining personalization across multiple touchpoints within complex automation workflows.

Related terms

• Agent-to-Agent (A2A) Protocol
• Communication Protocol
• Context Window
• Context Window (Context Length)
• MCP AI Agent

Vstorm builds production systems that use Model Context Protocol (MCP): Agentic AI consulting.

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