The OI AI Adoption MCP server,
connected in one click.

get_readiness_questions — Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it i

assess_ai_readiness — Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found a

estimate_ai_costs — Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal s

plan_ai_rollout — Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen im

adoption_list_process_types — Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition

adoption_find_patterns — Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task

adoption_get_pattern — Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the

adoption_get_regulations — Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each