Run This Ai
EN DE

How to Deploy autoMate with Docker and Connect Any AI Client via MCP

Step-by-step: run the autoMate container, connect OpenClaw, Claude Desktop, Cursor or Cline over MCP, and drive your real Chrome with the browser extension.

In this tutorial you'll deploy autoMate β€” the self-hosted computer-use agent β€” with Docker, then connect it to any AI client (OpenClaw, Claude Desktop, Cursor, or Cline) over MCP in a few minutes.

πŸš€ Want to deploy autoMate yourself?

Docker configs, system requirements, and installation guides β€” all on one page.

View autoMate Tool Page β†’

Step 1 β€” Run the container

The official image ships with Python 3.12, Playwright Chromium, and all browser dependencies preinstalled. Desktop tools are skipped inside the container (no display), but browser automation and every data tool work out of the box:

docker run -d --name automate \
  -p 8765:8765 \
  -v automate-data:/data \
  ghcr.io/yuruotong1/automate:latest

Open http://localhost:8765 β€” the setup wizard walks you through picking a model, pasting an API key, and wiring up an AI client. All state (notes, files, memory) lives in the /data volume in SQLite, encrypted with Fernet.

autoMate header bar

Step 2 β€” Connect your AI client via MCP

After install, open Settings β†’ Connect to AI clients and click "Copy install text". You get a single blob with the URL + token pre-filled, plus per-client sections. Three ways to use it:

MethodWhat you do
ManualEdit your client's config file by hand using the generated text
Paste to another AI"Cursor, here's autoMate, set it up for me" β€” the text is written so an AI can configure itself
OpenClaw bundle-mcpPaste the section into your OpenClaw config

Once the client picks up the new server it gains all of autoMate's tools β€” search.find, notes.read, files.list, audio.transcribe β€” plus a top-level automate tool that runs autoMate's own agent loop on demand.

Step 3 β€” Drive your real browser

For full computer-use (clicking through your actual Chrome with your logged-in sessions), install the browser extension and point it at ws://localhost:8765/api/extension/ws β€” the default. Your real browser becomes a tool your agent can use, while your data stays local.

Pro tip: point the file storage path at an external SSD or NAS mount β€” the vault is content-addressed with deduplication, so it's safe and cheap to keep everything.

πŸš€ Want to deploy autoMate yourself?

Docker configs, system requirements, and installation guides β€” all on one page.

View autoMate Tool Page β†’

That's it β€” a private computer-use agent with persistent memory, running on your own hardware. Deploy it today and give any AI client real hands.

#tutorial #docker #mcp #computer-use