The Model Context Protocol (MCP) has quickly become a well-adopted standard for connecting large language model (LLM)-based AI agents with external data and tools.
As a result, many developers are stacking their environments with MCP tools. Seventy percent of MCP consumers have two to seven MCP servers configured, according to a late-2025 study by Zuplo.
But every MCP added consumes memory, which is thinning as context windows must store chat histories and configuration files, while agents chain multiple MCPs together into workflows.

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