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What you can do with Fieldcraft

FieldCraft is an open-source, pure Rust finite element and CFD application that meshes parametric parts and solves structural, thermal and fluid problems, with a CLI and MCP server for AI agents.

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3 use cases

  • Solve a ready-made bracket analysis in minutes

    Open a bundled sample, press Solve and read the von Mises stress on a hex-meshed bracket.

    View prompt
    Using the FieldCraft repo at tangency-labs/fieldcraft, run the sample named bracket-hex with `fieldcraft --sample bracket-hex`, solve it, and report the peak von Mises stress and the reference check described in docs/examples.md. Verify that the solve finished without errors before reporting the value.
  • Have an AI agent mesh and solve a beam over MCP

    Connect Claude Code to FieldCraft so it opens a part, meshes, solves and checks tip deflection.

    View prompt
    Using the FieldCraft repo at tangency-labs/fieldcraft, connect to its MCP server with `fieldcraft-cli mcp`, open the I-beam part at <part-path>, hex mesh it, apply a clamp and a 1000 N tip load, and solve. Report the tip deflection in mm and the beam theory value with shear, and verify the two values agree within a small tolerance before answering.
  • Check thermal stress in a heated steel bracket

    Run the heated-bracket sample to see steady heat flow and the stress it causes.

    View prompt
    Using the FieldCraft repo at tangency-labs/fieldcraft, run the heated-bracket sample with `fieldcraft --sample heated-bracket` and solve it. Report the peak temperature and peak thermal stress, and verify the stress results against the reference described in docs/examples.md before reporting.

How to use Fieldcraft

  1. Check you have what it needs: A computer running macOS, Windows or Linux, or a web browser for the no-install option; The FieldCraft app from the latest release, or Rust 1.95 or later to build from source; For the agent workflow: an MCP-capable AI agent such as Claude Code and the fieldcraft-cli binary.
  2. Open tangency-labs/fieldcraft on GitHub and read the README and license.
  3. Download the package for your system from the latest release, using the links in the Download section.
  4. Open FieldCraft, then choose File, then Samples, and pick Hex-meshed bracket (bracket-hex).
  5. Press Solve and wait for the analysis to finish; the sample is designed to solve within half a minute.
  6. Read the von Mises stress contour in the viewport and check the result against the sample description in docs/examples.md.

These steps come from our top use case, Solve a ready-made bracket analysis in minutes, which also has a copy-paste agent prompt.

Fieldcraft alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forMechanical and structural engineers, students and AI agent builders who need a free, checkable way to mesh a part and run a finite element or flow analysis.
  • Why it is hot
  • LanguageRust
  • Sourcegithub.com/tangency-labs/fieldcraft · Back to Hot repos

Requirements

  • A computer running macOS, Windows or Linux, or a web browser for the no-install option
  • The FieldCraft app from the latest release, or Rust 1.95 or later to build from source
  • For the agent workflow: an MCP-capable AI agent such as Claude Code and the fieldcraft-cli binary
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Questions about Fieldcraft

What is Fieldcraft?

FieldCraft is an open-source, pure Rust finite element and CFD application that meshes parametric parts and solves structural, thermal and fluid problems, with a CLI and MCP server for AI agents. It is an open-source project on GitHub: https://github.com/tangency-labs/fieldcraft.

Who is Fieldcraft for?

Mechanical and structural engineers, students and AI agent builders who need a free, checkable way to mesh a part and run a finite element or flow analysis.

What can I do with Fieldcraft?

3 use cases so far, for example: Solve a ready-made bracket analysis in minutes; Have an AI agent mesh and solve a beam over MCP; Check thermal stress in a heated steel bracket. Each has steps and a copy-paste agent prompt.

What do I need to run Fieldcraft?

A computer running macOS, Windows or Linux, or a web browser for the no-install option; The FieldCraft app from the latest release, or Rust 1.95 or later to build from source; For the agent workflow: an MCP-capable AI agent such as Claude Code and the fieldcraft-cli binary.

What are alternatives to Fieldcraft?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Fieldcraft safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.