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OpenTakeoff Enables AI Agents to Autonomously Measure Construction Plans via MCP Protocol

October 11, 2026 at 21:16 EDT

Open Source
AI Agents
Sales & Business

Kentucky AI has released OpenTakeoff, an open-source construction measurement engine that for the first time lets AI agents natively operate measurement tools through the Model Context Protocol (MCP), not as an afterthought integration. The tool, licensed under AGPL-3.0, runs entirely in users' browsers and exposes 52 MCP tools that allow agents like Claude Code to perform the same geometric and quantity calculations as human estimators—measuring room dimensions, counting symbols, calculating material volumes, and adjusting for waste—on PDF floor plans and construction drawings.

AI Construction • October 2026

AI Agents Measure Construction Plans Natively Over MCP

OpenTakeoff brings the first MCP-native measurement engine to construction, letting AI agents and humans use the same tool with full audit trails.

MCP Tools Exposed

Licensing

AGPL-3.0 Open Source

Key Capabilities

Room measurement on wall faces
Symbol counting and material calculation
Waste-adjusted order quantities
Full measurement provenance & audit trail
Multi-format export (CSV, Excel, PDF)

Design approach: OpenTakeoff uses a unified geometry engine where both human estimators in the browser and AI agents over MCP perform identical calculations with identical accuracy requirements, maintaining the audit and verification trails required in construction contracting.

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