# Greenhouse Bench Layout Optimizer AI Agent Connect > Greenhouse Bench Layout Optimizer MCP handles the math for your growing space. It calculates how many trays or pots fit on your benches while respecting aisle widths and necessary clearance buffers. You can use it to map out specific placements, check if a layout is physically possible, or find the best orientation to minimize wasted space. ## Overview - **Category:** agriculture - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_8eMQp5rOM0vUnwTAB25lW1E5udeeUluodAVWBIJU/ai-agent-connect - **Tags:** greenhouse, layout, spatial, optimization, agriculture ## Description Managing greenhouse space is a constant math problem. You have to balance tray dimensions, pot sizes, and the physical reality of aisle widths and clearance buffers. This MCP acts as a spatial engine for your greenhouse management. Instead of sketching layouts on paper or guessing how many units will fit, you can ask your AI client to run the numbers for you. It accounts for the physical constraints of your facility to ensure every layout is actually doable. You can determine the maximum density for a specific bench or generate a full plan that respects the space needed for workers to move through aisles. It's built to handle the geometry of your setup, helping you find the best orientation for your items to reduce wasted bench area. Whether you are planning a new crop cycle or reconfiguring existing benches, this tool provides the exact spatial coordinates and capacity counts you need. ## Tools ### optimize_density_configuration This tool finds the best orientation for your trays or pots. It rotates and positions items to minimize empty space and maximize density. ### validate_placement_integrity This tool checks if a proposed layout is physically possible. It verifies that items stay within bench boundaries and do not overlap. ### calculate_bench_capacity This tool determines the maximum number of items that can fit on a specific bench. It uses the dimensions of your trays or pots to find the total capacity. ### generate_layout_plan This tool maps out the exact placement of items on your benches. It creates a specific plan based on your provided dimensions and aisle requirements. ## Prompt Examples **Prompt:** ``` How many 50cm x 30cm trays can I fit on a 3m x 1.5m bench with 2cm clearance? ``` **Response:** ``` You can fit 24 trays on that bench using the optimal orientation. ``` **Prompt:** ``` Generate a layout plan for 10 pots on two 2m x 1m benches with a 0.5m aisle. ``` **Response:** ``` The items have been placed across the two benches, maintaining the required 0.5m aisle between them. ``` **Prompt:** ``` Check if this placement is valid: bench 1m x 1m, item 0.6m x 0.6m at x=0.5, y=0.5. ``` **Response:** ``` The placement is invalid because the item exceeds the bench boundaries. ``` ## Capabilities ### Capacity Calculation Your agent uses this to find out exactly how many units a bench can hold. ### Spatial Mapping Your AI client generates specific placement coordinates for every tray or pot. ### Density Optimization The tool calculates the best item orientation to reduce wasted bench surface. ### Layout Validation Your agent checks proposed placements against bench boundaries and clearance rules. ### Aisle Management The engine incorporates required aisle widths into every layout calculation. ## Use Cases ### New Crop Setup Calculate how many trays of a new seedling variety will fit in your current bench configuration. ### Space Auditing Check if your current bench density is actually the most efficient possible orientation. ### Facility Reconfiguration Test new bench layouts and aisle widths before moving physical equipment. ### Inventory Planning Determine if you have enough bench capacity to house an incoming shipment of pots. ## Benefits - Reduces wasted bench space through orientation optimization. - Prevents impossible layouts by validating placement integrity. - Speeds up planning by automating spatial math. - Ensures consistent aisle widths for facility access. ## How It Works Connect the MCP to your preferred client and start asking for spatial calculations. 1. Connect your AI client to the Vinkius hosted MCP. 2. Provide bench dimensions and item sizes to your agent. 3. Specify required aisle widths or clearance buffers. 4. Receive a layout plan or capacity count immediately. ## Frequently Asked Questions **How does this MCP handle aisle requirements?** The tool incorporates required aisle widths into its spatial calculations to ensure layouts remain functional for workers. **Can I use this with Claude or Cursor?** Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf. **Does it account for the size of the pots?** Yes, you provide the dimensions of the pots or trays, and the tool uses them to calculate capacity and placement. **What happens if a layout is physically impossible?** The validation tool will identify if an item exceeds bench boundaries or violates clearance rules. **Do I need to host the MCP myself?** No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect. **How do I know if my layout is valid?** You can use the `validate_placement_integrity` tool to verify that your proposed layout adheres to all physical constraints and clearance rules. **Can I rotate my trays to save space?** Yes, you can enable rotation in tools like `calculate_bench_capacity` and `generate_layout_plan` to find the most efficient orientation. **What is the purpose of the clearance parameter?** The clearance parameter defines the mandatory buffer space required around each item to prevent overcrowding and allow for plant growth.