# AI Use Case Diversification Engine. AI Agent Connect > AI Use Case Diversification Engine provides the financial modeling you need to scale your AI portfolio. It calculates expansion revenue, required investment, and ROI by weighing market demand against technical feasibility. Use it to move from gut feelings to data-backed growth strategies for your AI product roadmap. ## Overview - **Category:** finance - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_x8Yo7af1edezs0pIHwaCV0w1sYEjqDIJElYiu5nc/ai-agent-connect - **Tags:** roi, revenue, investment, market-analysis, ai-strategy ## Description You shouldn't guess which AI features to build next. This MCP gives your agent the math it needs to evaluate new opportunities. Instead of debating whether a new model or tool is worth the cost, you can run specific scenarios to see the projected revenue and investment requirements. It looks at market demand and technical feasibility to give you a clear picture of what's actually viable. You can look at a single idea to see if it makes sense, or compare multiple strategies to see which one offers the best return for your specific budget. It also helps you understand the technical risk involved, so you don't overextend your engineering team on projects that are too complex to deliver. ## Tools ### analyze_opportunity_viability This tool evaluates a single specific opportunity to see if it is worth pursuing. It checks if the potential payoff justifies the effort. ### calculate_portfolio_risk This tool assesses the risk level of your expansion strategy. It uses technical complexity to determine how much danger your roadmap faces. ### compare_scenarios This tool compares two different expansion strategies. Use it to weigh one growth path against another. ### get_expansion_summary This tool provides a high-level overview of the financial potential for a group of expansion opportunities. It's your quick way to see the big picture. ## Prompt Examples **Prompt:** ``` What is the financial potential for these opportunities: a new predictive maintenance tool with demand 8, cross-sell €500,000, and feasibility 7, and a customer churn predictor with demand 6, cross-sell €200,000, and feasibility 9? Base cost is €100,000. ``` **Response:** ``` The total expansion revenue is €700,000 and the total investment required is €100,000, resulting in an overall ROI of 7.0. ``` **Prompt:** ``` Is a new AI-driven supply chain optimizer worth pursuing if it has a market demand of 9, cross-sell potential of €300,000, technical feasibility of 4, and a base cost of €50,000? ``` **Response:** ``` The projected revenue is €2,700,000 and the projected cost is €125,000, resulting in an ROI of 21.6. This is a High Priority opportunity. ``` **Prompt:** ``` What is the risk level for a portfolio with opportunities having feasibility scores of 3, 5, and 2? ``` **Response:** ``` The average feasibility is 3.33, which results in a High Risk level. ``` ## Capabilities ### Revenue Modeling Your agent calculates projected revenue based on market demand and cross-sell potential. ### Investment Analysis The MCP determines the total investment required for new AI initiatives. ### Risk Assessment Your agent evaluates technical complexity to assign a risk level to your strategy. ### Scenario Comparison The tool compares two different growth paths to see which yields better results. ### Portfolio Summaries Your agent generates high-level financial overviews for multiple opportunities at once. ## Use Cases ### Roadmap Prioritization Decide which AI features to build first by comparing their ROI and technical risk. ### Budget Planning Determine exactly how much capital is needed to fund a new AI expansion. ### Risk Management Check if your planned AI portfolio is too technically complex to execute safely. ### Strategic Comparison Compare two different ways to grow your AI offerings to see which is more profitable. ## Benefits - Replaces guesswork with calculated ROI and revenue projections. - Identifies high-risk technical paths before you commit resources. - Provides a standardized way to compare different growth strategies. - Quantifies the financial potential of a group of AI use cases. ## How It Works You connect the MCP to your client and start asking questions about your AI roadmap. 1. Connect the MCP to Claude, Cursor, or Windsurf via Vinkius. 2. Provide your agent with data on demand, cost, and feasibility. 3. Ask the agent to run specific calculations or comparisons. 4. Receive immediate financial models and risk assessments. ## Frequently Asked Questions **How does this MCP calculate ROI?** It uses the projected revenue and the required investment to determine the return on investment for a specific use case or portfolio. **What data do I need to provide for a viability check?** You should provide market demand, cross-sell potential, technical feasibility, and the base cost. **Can I compare two different AI strategies?** Yes, you can use the compare_scenarios tool to weigh two different expansion paths against each other. **How is technical risk determined?** The MCP assesses risk by looking at the technical feasibility scores of the opportunities in your portfolio. **Which AI clients can use this MCP?** You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf. **How is the ROI calculated?** ROI is calculated by dividing the total expansion revenue potential by the total investment required, which includes base development costs adjusted for technical feasibility. **Can I compare different expansion strategies?** Yes, you can use the `compare_scenarios` tool to compare the total ROI of two different sets of AI opportunities. **What factors influence the investment required?** The investment required is based on the base development cost and is adjusted by the technical feasibility score; lower feasibility increases the projected cost.