Accelerator Advisory Board Value

Accelerator Advisory Board Value MCP Connector for Claude

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Quantify the economic impact and ROI of your advisory board.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a decision-support engine to measure the strategic and economic value of advisory boards. It allows users to calculate individual advisor ROI, evaluate collective board performance, and simulate engagement scenarios. Use get_advisor_value to determine the economic contribution of a specific advisor, analyze_board_composition to find the optimal mix of advisors, and simulate_engagement_scenario to predict how changes in hours or equity will impact total board value.

advisory-boardroiequitydecision-supporteconomic-impact

3 tools expose this connector's capabilities to your AI agent.

analyze_board_composition

Pass a JSON string containing all advisor metrics. Evaluates the collective performance of the entire board and identifies the optimal mix of advisors

get_advisor_value

Provide all required metrics for accurate calculation. Calculates the total economic contribution and individual ROI for a specific advisor

simulate_engagement_scenario

Pass current advisor metrics, a multiplier, and an equity adjustment value. Predicts how changes in engagement levels or compensation will affect the overall board value and ROI

See how to talk to your AI agent using Accelerator Advisory Board Value.

Calculate the ROI for an advisor with 50 engagement hours, 5 introductions, 10 guidance instances, a 0.8 correlation, and 10000 equity cost.

The advisor's total advisory value is $45,000, resulting in an ROI per advisor of 4.5.

What happens to the board value if I increase engagement hours by 20%?

Increasing engagement hours by 20% will result in a projected total board value of $125,000 and a projected average ROI of 3.2.

Analyze the current board to find the best composition.

The optimal composition includes Advisor A and Advisor C, providing a total board value of $85,000 with an average ROI of 4.1.

Advisory value is determined by weighting engagement hours, strategic introductions, and guidance instances, then scaling by the outcome correlation coefficient.

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