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Design, art and accessibility · MCP server

OpenTakeoff: MCP server, setup and security

OpenTakeoff is an open-source MCP server that lets an AI agent measure rooms on PDF construction plans and export quantities. Its repository has 667 stars and its last commit is from October 24, 2026 and it is licensed under AGPL-3.0.

Score
78/100
Adoption (stars) 28/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintainedTop 10% by stars

What OpenTakeoff does

According to its repository: “Construction plan takeoff: load plan PDFs, read title blocks, set drawing scale, trace rooms and export quantities like square footage and linear feet.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. OpenTakeoff is listed under Design, art and accessibility, a category of 95 servers in the directory, where it ranks #11 by stars.

Topics declared by the repository: aec, construction, construction-tech, estimating, flooring, measurement.

Installing and connecting OpenTakeoff

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to OpenTakeoff. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 17, 2026, the Kentucky-ai/opentakeoff repository has 667 stars and 150 forks, with 4 open issues. It has more stars than 90% of the servers in the directory. It received changes this month. Version published in the registry: 0.9.99 (October 24, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Next AI Draw.ioNext AI Draw.io : 36.4K36.4KPascal 3D EditorPascal 3D Editor : 25.1K25.1KDavinci resolve MCPDavinci resolve MCP : 3.7K3.7KFigma MCP ServerFigma MCP Server : 2.1K2.1KMeiGen AI Design MCPMeiGen AI Design MCP : 1.8K1.8KTerraVisionTerraVision : 1.7K1.7KMeasureMeasure : 1.4K1.4KFigwrightFigwright : 1.2K1.2KOpenTakeoffOpenTakeoff : 667667
GitHub stars of the most followed servers in the category (log scale); OpenTakeoff in orange. Checked October 25, 2026.

Verdict

OpenTakeoff is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 667 stars
  • Listed in the official MCP registry

Frequently asked questions

How do I install OpenTakeoff?

OpenTakeoff is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Kentucky-ai/opentakeoff.

Is OpenTakeoff free?

The code is published under the AGPL-3.0 licence and can be used free of charge.

Is OpenTakeoff safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by Kentucky-ai on GitHub. Check who maintains it before giving it access.

What are the alternatives to OpenTakeoff?

In the same category: Pascal 3D Editor, Next AI Draw.io, Measure, and TerraVision. Pascal 3D Editor and Next AI Draw.io score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score