Plant Purchase Budget Allocator

Plant Purchase Budget Allocator MCP Connector for Claude

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Optimizes plant selection by maximizing priority scores within a strict budget.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides an optimization engine to help users select the best collection of plants for their budget. It handles complex constraints including mandatory 'must-have' plants, seasonal discounts, and sales tax. Use get_plant_catalog to see available species, get_seasonal_promotions to find active discounts, and calculate_budget_allocation to generate the optimal purchase list based on your priority scores. You can also use validate_purchase_plan to verify if a specific selection is financially viable.

budgetplantsoptimizationshopping-assistantseasonal

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

get_plant_catalog

Retrieves the full list of available plants and their base pricing

calculate_budget_allocation

Performs the core optimization to select plants based on priority and budget

validate_purchase_plan

Verifies if a proposed selection of plants is financially viable and respects all constraints

get_seasonal_promotions

Identifies which plants or categories are currently eligible for discounts

See how to talk to your AI agent using Plant Purchase Budget Allocator.

I have a budget of $100 and a tax rate of 0.05. Here are my priorities: {'fern_01': 10, 'cactus_02': 5}. What should I buy?

Based on your $100 budget and priorities, you should purchase the Fern (fern_01) and the Cactus (cactus_02). The total cost including 5% tax is $94.50.

What plants are available in the catalog?

The current catalog includes Ferns, Cacti, Succulents, and Tropical plants with varying base prices.

Is my plan to buy 'fern_01' and 'cactus_02' valid for a $50 budget with 7% tax?

Yes, the plan is valid. The total cost including 7% tax is $42.80, which is within your $50 budget.

The system first ensures all 'must-have' plants are included. Then, it uses the remaining budget to select plants with the highest user-assigned priority scores.

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