MCP For Claude Marketplace
Indoor Garden Layout Planner

Indoor Garden Layout Planner MCP Connector for Claude

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Deterministic design engine for optimizing indoor and balcony garden layouts.

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

This MCP server provides a deterministic design engine to create optimized indoor or balcony garden layouts. It calculates plant placements based on space dimensions, plant footprints, and light zones while ensuring human access paths are maintained. Use get_optimal_layout to generate a primary design, validate_layout_compliance to check for biological or physical violations, generate_alternative_layouts for aesthetic variety, and calculate_space_utilization to analyze area efficiency.

gardenlayoutplantsspatial-planningindoor-gardening

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

calculate_space_utilization

Analyzes how efficiently the available area is being used

generate_alternative_layouts

Provides different arrangement options when the primary layout is constrained or for aesthetic variety

get_optimal_layout

Generates a single best-fit layout based on provided dimensions and plant list

validate_layout_compliance

Checks an existing layout against specific biological and physical constraints

See how to talk to your AI agent using Indoor Garden Layout Planner.

Generate a garden layout for a 2m x 2m balcony with two sun-loving plants.

The optimal layout places Plant A at (0.5, 0.5) and Plant B at (1.5, 1.5), covering 1.2 square meters with no clearance violations.

Is my layout valid if I place a shade plant in a high intensity light zone?

No, the layout is invalid because the plant's light requirement is not met by the assigned zone.

What is the efficiency of a 10sqm space with 4sqm of plants?

The utilization percentage is 40% with 6 square meters of wasted area.

You can use the `get_optimal_layout` tool by providing your space dimensions, a list of plants, and the available light zones.

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