$ loading_
Lets AI load plans, measure, count, and export takeoffs with provenance.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "OpenTakeoff" MCP server from askskill: Run: claude mcp add 'io-github-kentucky-ai-opentakeoff' -- npx -y opentakeoff-mcp
When teams need dimensions or counts from construction plans quickly, an AI agent can load the drawings, set scale, and perform basic takeoff work. This reduces manual plan reading and repeated measurements.
For workflows that require traceability, it can export measurement and count results with provenance information. This is useful when teams need to track where takeoff results came from.
It is a construction takeoff tool for AI agents that can load plans, set scale, perform measurements and counts, and export results with provenance.
Based on the provided description, its core capabilities are loading plans, setting scale, measuring, counting, and exporting with provenance. For exact feature boundaries, see the source repository.
The provided materials do not include installation steps, runtime details, or key requirements. Please see the source repository.
Create visual execution plans for AI coding agents with live review and approval.
Let AI read and modify KiCad schematics with contextual updates.
Search, publish, and govern open scientific knowledge for research workflows.
Create polished architecture diagrams with theme switching and multi-format export.
Search, fetch, scan, and convert AI instruction files with provenance.
Read and analyze PDF documents for natural language Q&A and extraction.