MCP For Claude Marketplace
Venture Reference ROI Engine

Venture Reference ROI Engine MCP Connector for Claude

A+

Quantify the economic impact and ROI of venture capital reference checks.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides specialized financial modeling tools to quantify the economic impact of the reference checking process in venture capital due diligence. It helps investors determine the total value of mitigated losses, calculate the ROI per reference call, and identify the optimal number of calls to make before hitting diminishing returns. Use calculate_reference_value to determine total economic value, calculate_roi_per_call to measure efficiency, and find_optimal_reference_count to maximize returns. It also includes evaluate_signal_reliability to adjust findings based on source quality.

roiventure-capitalrisk-managementfinancial-modelingdue-diligence

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

calculate_roi_per_call

Measures the efficiency of the reference checking process by calculating the return for every unit of effort

evaluate_signal_reliability

Adjusts the weight of findings based on the quality of the sources used

find_optimal_reference_count

Identifies the specific number of calls an investor should make to maximize their return

calculate_reference_value

Determines the total economic value generated by a completed set of reference checks

See how to talk to your AI agent using Venture Reference ROI Engine.

Calculate the total value of 5 reference calls where 2 negative findings were found, with an average loss avoided of $500,000 and a signal strength of 0.8.

The total economic value generated is $800,000.

What is the ROI if I spent $5,000 on 10 calls and generated $50,000 in value?

The ROI ratio is 10.0, with a value of $5,000 per call.

Find the optimal number of calls if the loss avoided is $1,000,000, cost per call is $500, probability of negative finding is 0.2, and signal decay is 0.1.

The optimal number of reference calls to conduct is 12.

The `calculate_reference_value` tool calculates value by multiplying the number of negative findings by the average loss avoided, then adjusting that total by the average signal strength of the references.

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