AgentFEM

Name: AgentFEM
Author: haoming-luo

by haoming-luoversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.haoming-luo/agentfem

Install

Overview

Description from the maker (original English)

Build, run, inspect, and verify finite-element simulations with AgentFEM.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: AGENTFEM_MCP_ROOTS, AGENTFEM_COMMAND

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentfem": {
      "command": "uvx",
      "args": [
        "agentfem-mcp"
      ],
      "env": {
        "AGENTFEM_MCP_ROOTS": "your-value",
        "AGENTFEM_COMMAND": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agentfem --env AGENTFEM_MCP_ROOTS=your-value --env AGENTFEM_COMMAND=your-value -- uvx agentfem-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentfem": {
      "command": "uvx",
      "args": [
        "agentfem-mcp"
      ],
      "env": {
        "AGENTFEM_MCP_ROOTS": "your-value",
        "AGENTFEM_COMMAND": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentfem": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agentfem-mcp"
      ],
      "env": {
        "AGENTFEM_MCP_ROOTS": "your-value",
        "AGENTFEM_COMMAND": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

AGENTFEM_MCP_ROOTS env
Approved AgentFEM project roots, separated by the platform path separator.
AGENTFEM_COMMAND env
Absolute path to the AgentFEM executable when it is not on PATH.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account haoming-luo, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18374 servers in this category
Published to the registry more recently than 45% of the other 18374 servers in this category
Basic checks equal to or better than 100% of the other 18374 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AgentFEM safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Happo

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

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Runs on your computer★ 440MITUpdated 14 months ago

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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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Happo

by happo.io

Review Happo's visual and accessibility diffs: inspect comparisons, accept or reject, report flakes.

Runs in the cloudUpdated today

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AgentFEM MCP

One finite-element platform. Any compatible agent. Evidence intact.

AgentFEM MCP gives Codex, Claude, and other MCP-compatible agents a small, stable tool surface for building and running inspectable finite-element projects. AgentFEM remains the deterministic scientific engine; the agent interprets intent and explains evidence.

Install from PyPI · Discover in the official MCP Registry · Read the AgentFEM agent guide

Already using an AI assistant in the terminal? You can use AgentFEM directly through its CLI. Choose between CLI, MCP, and skills →

For a supported desktop client on macOS or Linux, download the tiny AgentFEM-0.1.0.mcpb connection bundle from the 0.1.0 release. It installs only the interface; the AgentFEM scientific runtime remains the single source of solver capabilities, upgrades, and results.

It exposes seven tools—not hundreds of solver internals:

Tool	Purpose
`describe_system`	Inspect the installed runtime and a compact capability map
`create_project`	Start from a version-matched AgentFEM template
`validate_project`	Report process success and scientific acceptance separately
`inspect_project`	Read project and recent-run identity
`submit_run`	Launch an isolated serial or MPI process
`get_run_status`	Observe a durable background job
`get_result_summary`	Read a compact result and trust state; request full evidence only when needed

Bring it to life

Want to see the underlying workflow before installing?

Explore a 3D structural-design case: compare support weight and deflection under the same load. The public browser edition uses precomputed candidates.
Try the simulation-to-surrogate mini-lab: ten real FEM outputs, a small NumPy model, and an interactive notebook.
Follow the AI-assisted cantilever quick start: create a readable project, run it, and inspect its numerical result.

AgentFEM must already be installed. With uvx, Codex needs one command and the adapter remains isolated from the numerical environment:

codex mcp add agentfem \

--env AGENTFEM_MCP_ROOTS=/absolute/path/to/AgentFEMProjects \ -- uvx --from agentfem-mcp agentfem-mcp

Or install the lightweight adapter in the active environment:

python -m pip install agentfem-mcp

The 0.1.0 lifecycle is acceptance-tested with the public AgentFEM 0.3.3 CLI contracts and the current 0.3.7 development line.

Give your agent a project root, not your whole home directory.

Codex

Codex officially supports local stdio MCP servers. Confirm the connection with codex mcp list, then begin with:

Use AgentFEM to create, validate, run, verify, and briefly explain a 2D

cantilever. Keep the project and result paths visible.

Claude Desktop and compatible clients

On macOS or Linux, open the release's .mcpb file in a supporting desktop client and choose the one project folder the connection may access. AgentFEM must already be installed. Windows support currently uses the explicit WSL2 configuration from the AgentFEM guide rather than claiming a native bridge.

Claude Code:

claude mcp add agentfem --scope user \

--env AGENTFEM_MCP_ROOTS=/absolute/path/to/AgentFEMProjects \ -- uvx --from agentfem-mcp agentfem-mcp

Claude Desktop configuration:

"mcpServers": { "agentfem": { "command": "agentfem-mcp", "env": { "AGENTFEM_MCP_ROOTS": "/absolute/path/to/AgentFEMProjects" } } } }

If a desktop app cannot see the activated conda environment, set AGENTFEM_COMMAND to the absolute agentfem executable. The official macOS runtime, AgentFEM WSL2 runtime, and common agentfem-env/fenicsx-env layouts are also detected automatically.

VS Code and other models

VS Code can place the same local server in .vscode/mcp.json:

"servers": { "agentfem": { "type": "stdio", "command": "uvx", "args": ["--from", "agentfem-mcp", "agentfem-mcp"], "env": { "AGENTFEM_MCP_ROOTS": "${workspaceFolder}" } } } }

The server is model-neutral. A DeepSeek or other model can use it through any host that implements local MCP tools. ChatGPT connectors require a public HTTPS server; AgentFEM will add that route only with a real authenticated compute and artifact boundary, rather than silently uploading local models through this adapter.

Directory health image

The repository's minimal, unprivileged Dockerfile exists for MCP directory startup and tool-introspection checks. It intentionally contains the public MCP adapter, not a second AgentFEM solver distribution. Real simulations should use the installed AgentFEM runtime and an explicit local project root.

Local Codex plugin

This repository contains a portable AgentFEM workflow skill and a local Codex marketplace under .agents/plugins/. It combines scientific operating guidance with the same MCP server; it does not create a second solver interface.

The contract

AI agent

│ seven typed MCP tools ▼ AgentFEM MCP ── process + path boundary │ versioned JSON contracts ▼ AgentFEM CLI → Study → Model → Step → SimulationResult ▼ FEniCSx / PETSc / MPI

No language model or API key is embedded in AgentFEM MCP.
No shell command or arbitrary Python string is accepted from a tool call.
All project paths must remain under explicitly approved roots.
Numerical runs occur in child processes, isolating PETSc/MPI lifetime from the MCP server.
completed, verified, and validated remain different scientific states.
Compact system discovery preserves AgentFEM's website, repository, citation, and its consent-first, once-per-release-series community invitation. The MCP server never performs an account action for the user.

Environment controls

Variable	Meaning
`AGENTFEM_MCP_ROOTS`	Approved project roots separated by the platform path separator
`AGENTFEM_COMMAND`	Absolute path to a specific `agentfem` executable

With no root configured, the server restricts access to its working directory. The default maximum is 16 MPI ranks and can only be changed by the server operator, not by an agent tool call.

Development

python -m pip install -e '.[test]'

ruff check . pytest python -m build

See SECURITY.md for the trust boundary and CONTRIBUTING.md for contribution expectations. The first release evidence records protocol, package, and real-solver acceptance separately.

AgentFEM MCP is Apache-2.0 licensed and maintained as an official companion to AgentFEM.

AgentFEM

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Happo

README from the maker

AgentFEM MCP

Bring it to life

Codex

Claude Desktop and compatible clients

VS Code and other models

Directory health image

Local Codex plugin

The contract

Environment controls

Development