DMCP

DMCP addresses the significant challenge faced when integrating numerous Model Context Protocol (MCP) servers and their tools, which can lead to token explosion and LLM confusion due to the sheer volume of options. It solves this by implementing a two-process architecture that leverages semantic vector search. Instead of loading all tools upfront, DMCP allows an LLM to dynamically discover and retrieve only the most relevant tools in response to a specific query, thereby optimizing tool selection and reducing computational overhead.

Key Features

Use Cases