Machinery Capacity Planner

Machinery Capacity Planner MCP Connector for Claude

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Calculate field capacity, completion probability, and machinery economics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides essential tools for agricultural planning. Use calculate_field_productivity to determine the actual rate of land coverage based on implement width, speed, and efficiency. Use evaluate_completion_feasibility to estimate the likelihood of finishing tasks within a timeframe, accounting for weather reliability. The compare_machinery_economics tool helps decide between owning equipment or hiring contractors, while get_operational_window identifies expected daily working capacity.

farmingmachinerycapacityweatherlogistics

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

evaluate_completion_feasibility

Estimate if a task can be completed within a specific timeframe given weather risks

get_operational_window

Identify the effective working capacity per day

calculate_field_productivity

Calculate the actual rate at which a machine covers land

compare_machinery_economics

Compare the costs of owning a machine versus hiring a contractor

See how to talk to your AI agent using Machinery Capacity Planner.

What is the field capacity for a 5m wide implement moving at 8km/h with 85% efficiency?

The actual field capacity is 3.4 hectares per hour.

Is it feasible to cover 500 hectares in 10 days if I can do 50 hectares per day and weather reliability is 0.7?

The total hours required is 10 hours, and the probability of completion is 0.7.

Should I own a machine or hire one for 1000 hectares if ownership costs $5000 fixed plus $20/ha, and hiring is $35/ha?

Ownership is the preferred option with a total cost of $25,000 compared to $35,000 for custom hire.

The `evaluate_completion_feasibility` tool uses a weather reliability factor to adjust the probability of completing work within the available working days.

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