INDIVIDUAL MCP TOOL

score_initiative

Canonical-field scorer for one AI initiative.

aibvf.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.aibvf.com/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for score_initiative and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.io-github-craig-horton-aibvf-mcp]
url = "https://mcp.aibvf.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "io-github-craig-horton-aibvf-mcp": {
      "type": "http",
      "url": "https://mcp.aibvf.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: io-github-craig-horton-aibvf-mcp
Remote MCP URL: https://mcp.aibvf.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "io-github-craig-horton-aibvf-mcp": {
      "url": "https://mcp.aibvf.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "io-github-craig-horton-aibvf-mcp": {
      "type": "http",
      "url": "https://mcp.aibvf.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "io-github-craig-horton-aibvf-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.aibvf.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

assess_ai_initiative — The front door for one AI investment decision.
score_portfolio — Score several AI initiatives as one AI BVF v1.
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.
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.
validate_portfolio — Check whether a supplied AI BVF v1.
get_benchmark — Look up the disclosed AI BVF planning rates behind the value model for one business function and industry.
list_taxonomy — Return the exact industry, function, AI-tier and readiness values every AI BVF calculation accepts.
diagnose_process — Diagnose a single existing business process from operational evidence and return the intervention, modelled net EUR saving, efficiency gain, verdict and confidence.