Context makes the Coworker: Glean preferred ~2.5x as often as off-the-shelf MCP tools, which consumed 30% more tokens in Claude Cowork

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This post details a benchmark comparing Glean's context layer against off-the-shelf Model Context Protocol (MCP) tools, demonstrating Glean's superior preference rate (~2.5x) and token efficiency (~30% less tokens consumed). It highlights the challenges of federated search, such as increased tool calls, latency, and potential for inaccurate results, contrasting it with Glean's centralized indexing and knowledge graph approach. The evaluation focused on utility, correctness, completeness, and tool fidelity across various enterprise tasks, showing Glean's advantage, especially in complex scenarios.