Model Context Protocol (MCP)
A standard interface for exposing tools, resources and reusable prompts to AI applications without building a bespoke integration for every connection.
Model Context Protocol (MCP) is a standard interface for exposing tools, resources and reusable prompts to AI applications without building a bespoke integration for every connection.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
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Demand
CONTROL
Useful limit
OUTCOME
Service outcome
AGENTS & WORKFLOWS
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Related concepts
Seen in cases
Real-world examples where this concept appears in our case studies.
The Procurement Agent Boundary
AI workflows and agents: A team response
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AI workflows and agents: A workflow under pressure
AI workflows and agents: An ownership gap
Den indkøbsagtens grænser
AI-arbejdsprocesser og -agenter: Et team-svar
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