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MCP live v0.2.0 MCP 2025-11-25 streamable-http

io.github.bahamas1717/aibvf-mcp

io.github.bahamas1717/aibvf-mcp

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

Uptime
100.0%
5 direct probes · 30d
Response
1274ms
last probe
Tools
13
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://mcp.aibvf.com/api/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
13 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
13 items in total; 3 or more earns these points.
pass Describes itself 10/10
93 characters; more than 30 earns these points.

Tools · 13

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, revenue, business functi…

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 evidence. For a proposal …

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 score, the highest-v…

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 after score_initiative …

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 assumed in the case. CALL …

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 came from a file, anot…

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-takeout assumptions befo…

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 value is not obvious. …

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 the user can describ…

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 calculate_pace_layer_dra…

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_portfolio when the user…

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 bureaucratic and the …

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 hand-build the port…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "io.github.bahamas1717/aibvf-mcp": {
      "url": "https://mcp.aibvf.com/api/mcp",
      "transport": "streamable-http"
    }
  }
}