Der Aibvf MCP MCP-Server,
verbunden mit einem Klick.

“Nutze „assess_ai_initiative“: The front door for one AI investment decision. CALL THIS FIRST when the user describes an AI idea in ordinary language or asks whether it sh.”

“Nutze „score_initiative“: Canonical-field scorer for one AI initiative. CALL THIS when industry, revenue_eur, function, ai_tier and readiness are already known, or wh.”

“Nutze „score_portfolio“: Score several AI initiatives as one AI BVF v1.0 portfolio and return the board-level position: counts of Accelerate / Fix / Stop, aggregate.”

“Nutze „recommend_improvements“: Turn a Fix or Stop verdict into the change plan that could earn a re-score, with pillar targets, named plays, owners, stop conditions, cost.”

assess_ai_initiative — The front door for one AI investment decision. CALL THIS FIRST when the user describes an AI idea in ordinary language or asks whether it sh

score_initiative — Canonical-field scorer for one AI initiative. CALL THIS when industry, revenue_eur, function, ai_tier and readiness are already known, or wh

score_portfolio — Score several AI initiatives as one AI BVF v1.0 portfolio and return the board-level position: counts of Accelerate / Fix / Stop, aggregate

recommend_improvements — Turn a Fix or Stop verdict into the change plan that could earn a re-score, with pillar targets, named plays, owners, stop conditions, cost

calculate_pace_layer_drag — Quantify the annual EUR cost of an AI ambition outrunning the operating model: queues, hand-offs and slow decisions that prevent the organis

validate_portfolio — Check whether a supplied AI BVF v1.0 portfolio document has the shape the portfolio tools require, before scoring, sequencing, storing or sh

get_benchmark — Look up the disclosed AI BVF planning rates behind the value model for one business function and industry. CALL THIS when the user wants to

list_taxonomy — Return the exact industry, function, AI-tier and readiness values every AI BVF calculation accepts. CALL THIS when the caller needs the comp