MCP For Claude Marketplace
AI Feature Support Impact Analyzer

AI Feature Support Impact Analyzer MCP Connector for Claude

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Calculate support burden, costs, and documentation ROI for AI features.

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

This MCP server provides tools to quantify the operational impact of AI-driven software features. It allows teams to calculate the normalized support burden using calculate_support_burden, determine financial support costs with allocate_support_cost, evaluate the economic return of documentation via evaluate_documentation_roi, and assess rollout risks through analyze_onboarding_impact.

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

analyze_onboarding_impact

Assesses how the quality of user onboarding influences the immediate support load

calculate_support_burden

Determines the normalized support intensity for a specific AI feature

evaluate_documentation_roi

Determines if the investment in documentation is yielding a positive financial return

allocate_support_cost

Calculates the total financial cost attributed to supporting a specific AI feature

See how to talk to your AI agent using AI Feature Support Impact Analyzer.

Calculate the support burden for feature 'AI-Chat-01' with 50 tickets and 5000 users at a complexity of 1.5.

The normalized ticket volume is 10 tickets per 1000 users, and the total burden score is 15.0.

What is the total support cost for 100 tickets if each takes 2 hours to resolve at a rate of $50/hour with a complexity of 1.2?

The total support cost allocated to this feature is $12,000.00.

Evaluate the ROI for documentation that cost $500 and saved $2000 in support costs.

The documentation ROI is 400.0%, and the investment is profitable.

The `calculate_support_burden` tool calculates the normalized ticket volume per 1000 users and applies a complexity multiplier to determine the final burden score.

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