OI AI Adoption

Name: OI AI Adoption
Author: com.operative-intelligence

MCP serverMCP

Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT

by com.operative-intelligencehomepage ↗v0.1.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability20/20 checks ok

when	check	result	http	latency	detail
3 h ago	mcp initialize	ok	200	10 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
9 h ago	mcp initialize	ok	200	13 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
16 h ago	mcp initialize	ok	200	11 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
23 h ago	mcp initialize	ok	200	10 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
30 h ago	mcp initialize	ok	200	12 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	11 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	10 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	33 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
3 d ago	mcp initialize	ok	200	44 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools
3 d ago	mcp initialize	ok	200	12 ms	server oi-ai-adoption-check 0.1.0 · protocol 2025-06-18 · 8 tools

Tools observed via MCP handshake

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 is asked and the allo
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 and a next step for e
estimate_ai_costs — Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences
plan_ai_rollout — Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern
adoption_list_process_types — Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the
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 that best matches i
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 full pattern with e
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 with what it require

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kind Official MCP Registry

name Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registrycom.operative-intelligence/ai-adoption

first seen 6 d ago · fetched 2 d agoopen ↗

Field history (6 recent events)

6 d ago · declared · summary → "Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT"
6 d ago · declared · description → "Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT"
6 d ago · declared · publisherName → "com.operative-intelligence"
6 d ago · declared · homepageUrl → "https://operative-intelligence.com/en/ai-adoption-advisor/"
6 d ago · declared · version → "0.1.0"
6 d ago · declared · protocols → ["mcp"]

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