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Scores AI investment portfolios as Stop, Fix, or Accelerate with decision confidence and pace-layer drag modeling.
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A critical issue was found. Do not connect this server as-is.
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This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The io.github.Craig-Horton/aibvf-mcp MCP server exposes 13 tools, focused primarily on network capabilities. Its published description reads: "Scores AI investment portfolios as Stop, Fix, or Accelerate with decision confidence and pace-layer drag modeling". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates io.github.Craig-Horton/aibvf-mcp F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check io.github.Craig-Horton/aibvf-mcp's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add io.github.Craig-Horton/aibvf-mcp to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://mcp.aibvf.com/api/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
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
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 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 confidence, the high
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
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
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
Look up the published raw benchmark 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
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 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
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
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 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 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
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: assess_ai_initiative
A tool description tries to alter the model’s use of another tool.
RecommendationDescriptions must describe only their own tool.
tool: score_initiative
A tool description tries to alter the model’s use of another tool.
RecommendationDescriptions must describe only their own tool.
tool: score_portfolio
A tool description tries to alter the model’s use of another tool.
instead of looping score_initiative one initiative at a time. The single rRecommendationDescriptions must describe only their own tool.
tool: recommend_improvements
A tool description tries to alter the model’s use of another tool.
RecommendationDescriptions must describe only their own tool.
tool: calculate_pace_layer_drag
A tool description tries to alter the model’s use of another tool.
ess saving: use score_initiative for the investment verdict, diagnose_process foRecommendationDescriptions must describe only their own tool.
tool: validate_portfolio
A tool description tries to alter the model’s use of another tool.
built for them, score_portfolio when the document is already ready for verdictsRecommendationDescriptions must describe only their own tool.
tool: get_benchmark
A tool description tries to alter the model’s use of another tool.
iness case. Use score_initiative for an Accelerate/Fix/Stop decision, score_portRecommendationDescriptions must describe only their own tool.
tool: list_taxonomy
A tool description tries to alter the model’s use of another tool.
ge mapping. Use map_to_taxonomy when the user has said customer service, bankinRecommendationDescriptions must describe only their own tool.
tool: diagnose_process
A tool description tries to alter the model’s use of another tool.
confidence. Use score_initiative for a proposed AI investment and infer_readinesRecommendationDescriptions must describe only their own tool.
tool: infer_readiness
A tool description tries to alter the model’s use of another tool.
ALL THIS before score_initiative, score_portfolio or calculate_pace_layer_drag wRecommendationDescriptions must describe only their own tool.
tool: sequence_portfolio
A tool description tries to alter the model’s use of another tool.
CALL THIS after score_portfolio when the user asks what to stop, fund first, deRecommendationDescriptions must describe only their own tool.
tool: map_to_taxonomy
A tool description tries to alter the model’s use of another tool.
ped values into score_initiative, diagnose_process, get_benchmark or the portfolRecommendationDescriptions must describe only their own tool.
tool: assemble_portfolio
A tool description tries to alter the model’s use of another tool.
tead of composing the JSON by hand. Do NOT invent pillar scores to fill itRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
Vantaj uptime monitoring via MCP — manage monitors, heartbeats, incidents, and status pages.
Unified gateway to Algeria's TKAWEN ecosystem: commerce, certification, and AI tools.
Provides access to the Cohereon Doctrine AI safety framework with governance components, tiered access, and agent onboarding.
Agentic rails for complex workflows with receipts, fees, and MCP tool access.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.