How do I install PLCs.ai?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does PLCs.ai need an API key?

No required environment variable is listed on this record.

When was PLCs.ai last checked?

Last checked 2026-10-21. Query Allen-Bradley and Siemens PLC projects, live tag values, and analyses in plain English.

PLCs.ai MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://mcp.plcs.ai/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http ai.plcs-plcs-ai https://mcp.plcs.ai/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "ai.plcs-plcs-ai": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://mcp.plcs.ai/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.0
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

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

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install PLCs.ai?

Does PLCs.ai need an API key?

What transport does PLCs.ai use?

When was PLCs.ai last checked?

Documentation

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