FERS — structural FEM is answering right now. Last checked 6 min ago. 972 installs a week from npm. Last commit 4 Nov 2026.
Structural FEM for AI agents: frames, plates, buckling, seismic and Eurocode checks, solved locally.
We read the source, 3 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
proc = subprocess.run(
env = dict(os.environ, PYTHONIOENCODING="utf-8")
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add fers --transport http https://ferscloud.com/api/mcp
https://ferscloud.com/api/mcp
[mcp_servers.fers]
url = "https://ferscloud.com/api/mcp"
{
"mcpServers": {
"fers": {
"url": "https://ferscloud.com/api/mcp"
}
}
}
{
"servers": {
"fers": {
"type": "http",
"url": "https://ferscloud.com/api/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://ferscloud.com/api/mcp | streamable-http | sign-in | 138 ms | 6 min ago |
Zero-LLM structural code retrieval for AI coding agents, served over MCP.
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Stateful, structured, safe shell sessions for AI agents over local, SSH, and Docker.
Answers built from our own checks of this server.