Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,518Letters: 13Defects: 1,321counted 3 min ago
teppi

MCP serverio.github.Bahamas1717/aibvf-mcp

AI BVF: score AI portfolios Stop/Fix/Accelerate with decision confidence and pace-layer drag.
UNRATEDActivestreamable-httpmcp.aibvf.com

Overview

Score?
UNRATED 0.665
of what a free look can see, on 29 looks
Looks
35
last 17 hr ago
Tools
13
changed 17 hr ago

More info

URL
mcp.aibvf.com/api/mcp
streamable-http
Says it is
io.github.Craig-Horton/aibvf-mcp 0.14.14
protocol 2025-06-18
In the record since
32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.665 · highest on record 0.8561

Toolsfrom sha256:c931c84edc…316a67 · +0 −0 17 hr ago

The tools this server lists, read out of the definition it returned
ToolSchema
assemble_portfolio
Assemble a valid AI BVF v1.0 portfolio document from loose inputs, deterministically. Agents arrive with initiative names, plain-language functions and half the pillar scores, then
input · output
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 should proceed. It resolves industry, reve
input · output
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 organisation capturing the value already assume
input · output
diagnose_process
Diagnose a single existing business process from operational evidence and return the intervention, modelled net EUR saving, efficiency gain, verdict and confidence. CALL THIS when
input · output
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 inspect the revenue-uplift and cost-take
input · output
infer_readiness
Measure organisational readiness from process data, so the investment case does not depend on an untested maturity claim. CALL THIS before score_initiative, score_portfolio or calc
input · output
list_taxonomy
Return the exact industry, function, AI-tier and readiness values every AI BVF calculation accepts. CALL THIS when the caller needs the complete allowed list or when a free-text va
input · output
map_to_taxonomy
Map everyday business language to the canonical AI BVF values required by the scoring tools. CALL THIS when the user says customer service, procurement, banking, GenAI copilot or b
input · output
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 of waiting and a deadline. CALL THIS aft
input · output
score_initiative
Canonical-field scorer for one AI initiative. CALL THIS when industry, revenue_eur, function, ai_tier and readiness are already known, or when re-scoring with measured pillar evide
input · output
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 modelled EUR value range, mean decision
input · output
sequence_portfolio
Turn a scored AI portfolio into three waves with gates over a configurable horizon, so the roadmap respects the change capacity of each business function. CALL THIS after score_por
input · output
validate_portfolio
Check whether a supplied AI BVF v1.0 portfolio document has the shape the portfolio tools require, before scoring, sequencing, storing or sharing it. CALL THIS when the document ca
input · output
Verify it yourselfnpx teppi-check https://mcp.aibvf.com/api/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2BH9RJ13F47GD0M5GPQK