Scribe as Workflow Context Provider

This pushes Scribe up the stack from a place employees read instructions into a system other AI products query before they act. The important shift is that Scribe is no longer just storing finished how to guides. Through MCP and the enterprise search API, it can feed copilots and agents the actual steps, screenshots, workflow maps, and optimization signals they need to answer questions, suggest changes, or execute work with more context.

• The MCP product is built for AI clients, not just humans. It lets tools like Claude Code, Cursor, and custom agents search Scribe documents, browse workflows, and pull optimization insights through OAuth, which makes Scribe usable inside the agent workflow rather than as a separate tab.
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• The enterprise search API gives companies a simpler retrieval layer for their own apps. It exposes document search, team filtering, and real time retrieval, which means an internal copilot can fetch the exact SOP or guide it needs at the moment an employee or agent hits a task.
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• Optimize adds the higher value context. Instead of only returning a static guide, Scribe can surface bottlenecks, severity ranked opportunities, efficiency scores, and workflow recommendations, which makes it closer to a process intelligence system like Glean is for enterprise knowledge, but specialized around how work gets done inside software.
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The next step is in workflow execution. If copilots start with Scribe to understand the right sequence, the right system, and the common failure points before taking action, Scribe becomes part of the control layer for enterprise AI. That would move its budget center from documentation and training into the core software spend around automation, operations, and AI infrastructure.