A local indexing system enables semantic and exact search across files, repositories, and sessions to provide precise context for AI agents. It utilizes the Model Context Protocol (MCP) to reduce token consumption and unnecessary tool calling by delivering targeted context rather than full disk access.
HOW THIS AFFECTS YOU
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builderYou can reduce latency and API costs by providing agents with precise, locally-indexed context via MCP.