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Design, art and accessibility · MCP server

AnkusDrive: MCP server, setup and security

AnkusDrive is an open-source MCP server that lets an AI agent drive local FreeCAD for parametric design, drawings and multiphysics simulations. Its repository has 13 stars and its last commit is from October 15, 2026 and it is licensed under Apache-2.0.

Score
61/100
Adoption (stars) 11/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What AnkusDrive does

According to its repository: “Drive a local FreeCAD from an agent: parametric CAD, TechDraw drawings with GD&T, CalculiX FEM, and CFD, thermal, EM and multiphysics simulation.”

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. AnkusDrive is listed under Design, art and accessibility, a category of 95 servers in the directory, where it ranks #62 by stars.

Topics declared by the repository: cad, cfd, fem, freecad, llm-agents, mechanical-engineering.

Installing and connecting AnkusDrive

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

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: Python. 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 AnkusDrive. 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 April 24, 2026, the gchen19/AnkusDrive repository has 13 stars and 0 forks, with 2 open issues. It has more stars than 31% of the servers in the directory. It received changes this month. Version published in the registry: 0.5.6 (September 23, 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 : 1.2K1.2KAnkusDriveAnkusDrive : 1313
GitHub stars of the most followed servers in the category (log scale); AnkusDrive in orange. Checked October 25, 2026.

Verdict

AnkusDrive is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Frequently asked questions

How do I install AnkusDrive?

AnkusDrive is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of gchen19/AnkusDrive.

Is AnkusDrive free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is AnkusDrive 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 gchen19 on GitHub. Check who maintains it before giving it access.

What are the alternatives to AnkusDrive?

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