A LinkedIn post from Glean highlights the company’s focus on building an enterprise context layer and skills framework on top of the Model Context Protocol (MCP). The post suggests that Glean aims to make AI tools more reliable and relevant for day-to-day work by integrating organizational context and structured workflows.
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According to the post, Glean’s remote MCP server is positioned as a way to bring this context directly into users’ daily tasks and to help models select appropriate tools and follow prescribed processes. The post also indicates that Glean is exploring the use of user activity and memory signals to recommend new, personalized skills that users can deploy themselves.
For investors, this emphasis on context-aware AI and skill orchestration may point to a strategy of differentiation in the crowded enterprise AI market. If Glean can demonstrate measurable productivity gains and workflow efficiency for customers, this approach could support pricing power, deeper customer lock-in, and expansion opportunities across large knowledge-driven organizations.
The focus on leveraging user behavior and memory to generate new skills could also create data-driven network effects. As more customers use the platform, Glean may be able to refine recommendations and expand its catalog of reusable skills, potentially increasing switching costs and improving its competitive position versus generic AI tool providers.