OpenTakeoff – open-source construction takeoff your AI agent can drive (github.com)

OpenTakeoff, a revolutionary open-source tool for construction takeoff, has been launched, enabling both human users and AI agents to measure building plans with unprecedented efficiency. Accessible from any browser without requiring installation or account creation, this platform allows users to trace rooms and precise measurements either manually or through AI-driven automation. The recently added MCP server feature lets AI agents interact seamlessly with the takeoff engine, cataloging the provenance of every measurement—recording the method, scale, and source (human or AI)—thus enhancing the accuracy and reliability of the takeoff process. This tool fills a significant gap in the market, being the first web-based, open-source takeoff engine specifically designed for the construction industry. Built originally as part of a flooring estimating application, OpenTakeoff includes advanced functionalities like One-Click Area tracing, which simplifies the measuring process by automatically identifying room boundaries and optimizing tasks through a flood-fill algorithm. Its capabilities, such as exporting detailed reports in various formats, integrated drawing aids, and a per-condition breakdown of materials and waste percentages, make it a powerful resource for contractors and estimators. By democratizing access to these tools, OpenTakeoff stands to streamline workflows in construction estimating and improve collaboration between human users and AI agents.