io.github.Craig-Horton/aibvf-mcp

up checked 2026-11-10T21:37:50.511Z

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Publisher-provided title

AI business value framework

Publisher-provided description

Review an AI proposal and return Stop, Fix or Accelerate, the decision gaps and the next action.

Summary by lookupd

Reviews AI investment proposals and returns a Stop, Fix or Accelerate verdict with decision gaps and next steps, plus portfolio tools.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http aibvf https://mcp.aibvf.com/api/mcp

Claude Code, npm package (stdio)

claude mcp add aibvf -- npx -y aibvf-mcp

Codex, remote (streamable-http)

codex mcp add aibvf --url https://mcp.aibvf.com/api/mcp

Codex, npm package (stdio)

codex mcp add aibvf -- npx -y aibvf-mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "aibvf": {
      "url": "https://mcp.aibvf.com/api/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "aibvf": {
      "command": "npx",
      "args": [
        "-y",
        "aibvf-mcp"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (13 tools)

Publisher-provided text

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 wor
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 m
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 r
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 dea
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
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
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-
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
diagnose_process Diagnose a single existing business process from operational evidence and return the intervention, modelled net EUR saving, efficiency gain, verdict and confide
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, sco
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
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
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

Details

Version: 0.15.2
Transports: streamable-http, stdio
Uptime (7 days): 100%
Median latency: 444 ms
First indexed: 2026-11-01T09:08:08.956Z
Last seen in registry: 2026-11-10T14:17:28.767Z
Repository: https://github.com/Craig-Horton/ai-bvf
Website: https://www.aibvf.com/start

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Last crawl: 2026-11-11T17:38:11.606Z
API base: https://api.lookupd.com
MCP URL: https://api.lookupd.com/mcp