Developer builds MCP server to replace unreliable LLM math in construction estimates

A developer has built a Model Context Protocol (MCP) server called Vinkius to handle deterministic construction calculations, after observing that large language models frequently make arithmetic errors in estimation tasks. The system exposes three dedicated tools — for wall paint, ceiling paint, and total requirements — that execute precise code instead of relying on an LLM's internal reasoning. Each tool accounts for real-world variables such as architectural deductions for doors and windows, surface texture multipliers for porosity differences, and a hard-coded 10% waste buffer for material loss. When integrated with AI assistants like Claude or Cursor, the agent maps natural-language prompts to structured tool parameters and returns exact results rather than approximated figures. The approach reframes AI-assisted estimation from open-ended text generation to structured, verifiable code execution.