Skip to main content
Klarity runs the Discover → Structure → Improve loop continuously, replacing one-time “transformation projects” that take months and have a low success rate. When your agent uses the MCP, it’s plugging into that loop.

Discover

The Companion (ambient capture from sessions) and the Interviewer (AI-guided structured capture) generate raw process knowledge from how work actually happens. Agents read this layer through process, observation, and artifact tools. What lives here:
  • Observations from real sessions (deviations, exceptions, manual workarounds)
  • Source artifacts (BRDs, SOPs, video recordings, screenshots, logs)
  • Activity timelines that show the exact sequence of user actions

Structure

The Process Index is Klarity’s context graph of how your organization runs — a living, queryable map of every process, its dependencies, and the evidence captured against it. Agents navigate this layer through search, fetch, and hierarchy tools. What lives here:
  • A versioned hierarchy of every process the organization runs, with steps, policies, inputs, outputs, and dependencies
  • The full observation history of each process — deviations, exceptions, and the activity timelines behind them
  • The teams, systems, and controls referenced from each process

Improve

Use Klarity Advisor or this MCP in your AI tools to analyze thousands of processes at once — surface improvement opportunities, drive transformation, and build skills and agents grounded in how your business actually runs.

What this means for your assistant

Any question your assistant asks usually maps to one stage of the loop:
Question shapeLoop stageWhere to look
”What’s our evidence for X?”DiscoverObservations, activity timelines, artifacts
”How does X work today?”StructureProcess Index — hierarchy, version, dependencies
”Where should we focus next?”ImproveObservations, process dependencies, recent changes
The Tool reference is organized along the same axis.