Model Context Protocol
Extend the functionality of your Tool with MCP ( Model Context Protocol) ..
Last updated
Extend the functionality of your Tool with MCP ( Model Context Protocol) ..
Last updated
The Model Context Protocol (MCP) is a framework that governs how AI language models manage information during conversations. It defines rules for handling context windows—the amount of text a model can process at once.
MCP categorizes information into different priority levels, including system instructions, conversation history, and current user inputs. This prioritization ensures the most relevant information remains accessible when context space is limited.
Context management mechanisms like windowing (removing older information), compression (summarizing previous exchanges), and retrieval (accessing external information) help models maintain conversational coherence while working within technical constraints.
The practical impact of MCP is seen in a model's ability to maintain consistent behavior, remember details from earlier exchanges, and balance between past context and new inputs. This affects everything from casual chatting to complex reasoning tasks.
MCP continues to evolve as AI systems advance, with early models having very limited context abilities compared to current systems that can maintain coherence across much longer conversations.
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