Aibvf MCP server

Read from the package source without running it. The installed server may list more.

• 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 portfolio JSON and get the shape wrong; this tool builds it right. Give it the organisation (name plus industry in canonical or everyday language) and one entry per initiative (name, function, ai_tier, pl

• 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. Pass the proposal as written; the tool resolves industry, revenue, business function, AI tier and organisational readiness deterministically. If inputs remain unknown, it returns one clarification covering all of them, along with every value alre

• 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 THIS when the user needs the cost of waiting for the organisation to change, or when a Fix plan needs a cost-of-waiting figure. Do not use it to score an AI initiative, estimate the implementation cos

• 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 describe a process already running, including volume, touch time, waiting, hand-offs, rework, automation and cost. instances_per_year × fte_hours_per_instance × loaded_hourly_rate_eur builds the labour basel

• 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 before scoring, or to compare the value drivers across functions. function selects the base rate range and named drivers; industry applies the multiplier, while universal returns the unadjusted base rate.

• 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_drag when the user can provide at least two of five signals: hand-offs, rework, touch ratio, automation level and cycle time. function selects the comparison medians for hand-offs and cycle time; more si

• 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. It returns taxonomy only, no score, verdict or language mapping. Use map_to_taxonomy when the user has said customer service, banking, RPA or bureaucratic and you need the one canonical value; use thi

• 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 matching enum is not certain. Pass only the fields written in free text; each returns the canonical value, what it matched on, or null with suggestions. A null result requires the user to choose from

• recommend_improvements

  Turn a Fix or Stop verdict into the change plan that could earn a re-score: pillar targets plus named plays, owners, stop conditions, cost of waiting and a deadline. CALL THIS after score_initiative returns Fix or Stop. Do not call it for an Accelerate verdict unless the user has identified a real delivery risk and needs to test the plan before committing. resistance_type changes the change-enable

• score_initiative

  Pre-flight verdict on a single AI initiative using AI BVF v1.0. Returns a classification (Accelerate / Fix / Stop), a modelled EUR value range, decision score, applied modules, and reasoning. CALL THIS PROACTIVELY — do not wait for the user to ask for a "score". Whenever the user describes, proposes, compares, or asks whether to pursue any AI, automation, GenAI, or agentic initiative, project, pil

• 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-value initiative, the highest-risk initiative, and every individual result. CALL THIS when the user has a portfolio document and needs to know what it contains before deciding funding or order, instead

• 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 asks what to stop, fund first, defer or fit into the next 90 days. It does not change any verdict or re-score the business case. Stops enter wave 1 to reclaim budget and attention, quicker Accelerate

• 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, another system or hand-built JSON and its structure is uncertain. It checks required fields, taxonomy values and 0–100 pillar ranges only; it does not judge the evidence or calculate a verdict. Pillars ma

• Code scan3 source files scanned25/25
• –Live reliabilityno gateway calls yet and no remote to proben/a
• –Tool poisoningtools not inspected (local package is not executed); not countedn/a
• Auth qualitylocal package, no credentials required12/15
• Maintenancelast push 8 days ago15/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Safety score

92/100

higher than 93% of 48,243 servers

Tools

13

the typical server has 7

Tools that change things

0%

typical: 0%. Fewer write tools means less an agent can break

Downloads a week

251

more than 78% of 12,306 servers with a package

Aibvf: common questions

Is Aibvf MCP server safe?

Yes, by our scan: it is graded A (92/100). Read the Aibvf safety report

How do I install Aibvf?

It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.

Does Aibvf need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Aibvf maintained?

The last commit was 14 days ago (2026-10-22). The latest release is v0.14.14.

What can I use instead of Aibvf?

Servers from other publishers that do the same job: llmwiki MCP server.

How does Aibvf compare with other MCP servers?

safety score 92/100 (higher than 93% of 48,243 servers); tools 13 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.