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Kentucky-ai/opentakeoff

by Various

Open-source (Apache-2.0) PDF takeoff for construction & flooring — the first engine an AI agent drives natively over MCP, not bolted on. One-click room detection, materials + quant

MCP

Kentucky-ai/opentakeoff

Added 3 Sept 2026

#aec #ai-agent #blueprint #construction #construction-estimating #construction-tech #cost-estimation #estimating

Overview

Open-source PDF takeoff tool for construction and flooring. Uses one-click room detection to extract materials and quantities for preconstruction. Runs entirely in the browser and exposes native MCP support so an AI agent can drive it directly.

Best for

Best for
Preconstruction teams and builders who want AI-agent-native takeoff in the browser

Use cases

  • Generate material takeoffs from floor plan PDFs
  • Automate room detection and quantity extraction via an AI agent
  • Run preconstruction estimates without server setup

How to use

Tested with

Claude Desktop, Claude Code, Cursor, ChatGPT

Example client config

{\n  "mcpServers": {\n    "opentakeoff": {\n      "command": "npx",\n      "args": ["-y", "opentakeoff-mcp"]\n    }\n  }\n}

Notes

Open-source PDF takeoff tool for construction and flooring. Uses one-click room detection to extract materials and quantities for preconstruction. Runs entirely in the browser and exposes native MCP support so an AI agent can drive it directly.

104 stars on GitHub. Last updated 2026-09-03. Licensed Apache-2.0.

Use cases

  • Generate material takeoffs from floor plan PDFs
  • Automate room detection and quantity extraction via an AI agent
  • Run preconstruction estimates without server setup

Pros

  • Native MCP support for AI agent workflows
  • Browser-based, no install required
  • Apache-2.0 license for free use and modification

Cons

  • Requires an MCP-compatible agent for AI-driven workflows
  • Small community with only 104 stars
  • Documentation and support are limited given the early stage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Native MCP support for AI agent workflows
  • Browser-based, no install required
  • Apache-2.0 license for free use and modification

Cons

  • Requires an MCP-compatible agent for AI-driven workflows
  • Small community with only 104 stars
  • Documentation and support are limited given the early stage
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