PLCs.ai

Name: PLCs.ai
Author: PLCsai

by PLCsaiversion 1.0.0i★ –iRuns in the cloud

Registry nameai.plcs/plcs-ai

Install

Overview

Description from the maker (original English)

Query Allen-Bradley and Siemens PLC projects, live tag values, and analyses in plain English.

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 in the cloud
Transport: Streamable HTTP
Category: Other

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.plcs.ai/mcp

Run this in your terminal

claude mcp add --transport http plcs-ai https://mcp.plcs.ai/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "plcs-ai": {
      "url": "https://mcp.plcs.ai/mcp"
    }
  }
}

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": {
    "plcs-ai": {
      "type": "http",
      "url": "https://mcp.plcs.ai/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.plcs.ai/mcp

Menu names can differ slightly by plan and over time.

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

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain plcs.ai (the registry checks domain ownership)
… 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32476 servers in this category
Published to the registry more recently than 23% of the other 32476 servers in this category
Basic checks equal to or better than 100% of the other 32476 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 PLCs.ai 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

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

Alternatives

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

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Runs on your computerUpdated 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.

PLCs.ai MCP Server

Connect Claude, Cursor, Codex, or any MCP-compatible agent to your PLC projects.

PLCs.ai is the AI platform purpose-built for PLC engineers: upload an Allen-Bradley (Studio 5000), Siemens (TIA Portal) or CODESYS V3 project and understand, troubleshoot, document, and safely generate code for it in plain English. This MCP server gives any AI agent governed access to that same capability — your projects, live tag values, and analyses — with per-tool permission scopes.

Remote server: https://mcp.plcs.ai/mcp (Streamable HTTP · OAuth or API key) Full documentation: https://www.plcs.ai/developer/mcp

Quick start

Claude Code

claude mcp add --transport http plcs-ai https://mcp.plcs.ai/mcp

Then run /mcp and choose Authenticate to sign in with your PLCs.ai account. (Or pass an API key: --header "Authorization: Bearer plck_live_…".)

Claude Desktop

Settings → Connectors → Add custom connector → URL https://mcp.plcs.ai/mcp → Connect and sign in. For API-key or on-prem setups, use the mcp-remote bridge:

"mcpServers": { "plcs-ai": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.plcs.ai/mcp", "--header", "Authorization: Bearer plck_live_…"] } } }

Cursor / Codex / other MCP clients

See per-client guides: https://www.plcs.ai/developer/mcp — covers Cursor, Codex, and any client that speaks remote MCP or can run mcp-remote.

What the agent can do

17 tools, permission-scoped per API key or OAuth grant:

Area	Tools
Discover	`plcs_health`, `plcs_list_projects`, `plcs_get_project`, `plcs_get_project_source`
Ask	`plcs_ask_project` — a cited answer from the PLCs.ai assistant, not raw source to reason over
Live plant data	`plcs_get_live_values`, `plcs_get_tag_history`, `plcs_request_live_tags`
Analyze	`plcs_get_project_analysis` (dead code, race conditions, missing handshakes, interlock audits, cycle-time bottlenecks, signal tracing)
Propose	`plcs_propose_code` — a plan you approve, then a reviewable proposal; nothing is saved without review
Version & export	`plcs_save_version`, `plcs_stage_upload`, `plcs_export_plc`, `plcs_export_pdf`, `plcs_get_export`, `plcs_download_export`
Embed	`plcs_mint_embed_token` — short-lived, read-only, project-scoped iframe tokens

The agent reasons over projects your organization already owns. Onboarding a machine is a deliberate act in the app or through a version-source connector, so there is no create-a-project tool — an agent can read, ask, propose and save versions, but never add a project.

Example prompts

"List my PLC projects and check which ones have live data connected."
"Why won't Conveyor 3 restart after a stop? Trace the interlocks."
"Read the latest analysis on the Palletizer project and summarize what's safe to remove."
"What did tag Motor1_Enable do in the last hour?"
"Draft a fix for the missing handshake between Conv001 and Rob010 — proposal only."

Safety model

Every tool call is authenticated and scoped to your organization; the credential *is* the tenant.
Proposing code is two steps — a plan you approve, then the change — and it returns a proposal either way; persisting a new version is a separate, separately-scoped action.
Customer data is never used to train AI models. Data handling →

Requirements

A PLCs.ai account (start a free trial) or API key
For the mcp-remote bridge: Node 18+

PLCs.ai

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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

zanadir

README from the maker

PLCs.ai MCP Server

Quick start

Claude Code

Claude Desktop

Cursor / Codex / other MCP clients

What the agent can do

Example prompts

Safety model

Requirements