Hands your live Chrome tab to any MCP client — snapshot, navigate, click, type, extract.
WebOperator MCP Server: Live Chrome Tab Control
This MCP server hands a live Chrome tab to any MCP client, enabling actions like snapshotting, navigating, clicking, typing, and extracting information. It is positioned as an AI browser agent for Chrome automation, integrating with Model Context Protocol via browser-use and tool-calling.
🛠️ Key Features
Live Chrome tab access for MCP clients
Snapshot, navigate, click, type
Extract data from the page
🚀 Use Cases
Browser automation driven by plain-English tasks
Verifying and iterating steps during automated browsing
Performing actions in Chrome with visible planning and execution
WebOperator — AI browser agent and MCP server for Chrome automation
Tell Chrome what you want done, in plain English, and let the agent do it.
Most browser agents bring their own browser. WebOperator works the one you are already in: the tab in front of you, with your sessions and logins intact — no separate profile, no re-login, no copying cookies around. The model behind it can be local, served by Ollama or MLX, so the pages you look at never have to leave the machine. And it works in both directions: the local bridge exposes that same live tab over MCP, so Hermes, OpenClaw, or any other agent client can borrow your browser as a tool.
bash
git clone https://github.com/KazKozDev/WebOperator.git
npm --prefix WebOperator/core ci
npm --prefix WebOperator/core run build
WebOperator side panel in Chrome showing the task, skills, and schedule views
Your goal, typed once · The agent plans, acts, verifies · Every step visible
Quick start
Two ways in. If you would rather not touch Node, grab the
weboperator-1.5.0-chrome.zip archive from the
latest release and unzip it —
that folder is the built extension.
If you ran the commands above instead, the build lands in core/dist and finishes in
well under a second:
text
vite v8.0.11 building client environment for production...
✓ 101 modules transformed.
✓ built in 189ms
Either way, open chrome://extensions, enable Developer mode, click Load unpacked, and point it at the folder you just got. Press Cmd+Shift+K (Ctrl+Shift+K on Linux) to open the side panel, pick a provider under Settings, and type a goal.
Out of the box the agent talks to Ollama at http://127.0.0.1:11434, so have a tool-capable local model running before your first task — or paste an API key and use a remote provider instead.
Automate a multi-step task across your open Chrome tabs
WebOperator works the tab you are looking at in a plan → act → verify loop: it writes out a plan you can read, calls one browser tool at a time, and checks each result against a fresh snapshot of the page before moving on.
text
Summarize the current page
It can navigate, click, type, press keys, scroll, switch tabs, screenshot, and pull out structured text — so the same loop still works when the answer is scattered across half a dozen open tabs.
text
Compare info across tabs
The side panel streams the plan, every action, and the final answer, and keeps the full trace; history, checkpoints, and scheduled runs each get their own tab. The flip side: the agent only knows what it can actually see in the browser, so anything hidden, paywalled, or geo-blocked simply will not show up in the answer.
Agent engineering — a plan, act and verify loop, 29 browser tools, 6 loop guards
LLM security — the prompt-injection attack rate down from 44.4% to 0.0% across 9 adversarial fixtures
LLM evaluation — AssistantBench and 24 fixtures in a deterministic harness, see docs/evals.md
MCP — the browser exposed as an MCP server with 10 tools for any agent client
Schedule recurring browser automation in Chrome
Some tasks you want done whether or not you are at the keyboard. Give a schedule a start URL, a goal, and a cadence — once, hourly, daily, or weekly — and Chrome alarms wake the agent on time, even with the side panel closed.
text
Task name: Morning release check
Start URL: https://github.com/KazKozDev/WebOperator/releases
Repeat: daily
Goal: Tell me if a new version was published since yesterday
Every run lands in History with its trace, so you can go back afterwards and see exactly what it did. If a run hits something only you can clear — a login wall, a verification challenge — it stops and marks itself needs_user rather than failing quietly.
Connect Hermes, OpenClaw, or another MCP agent
Your live browser can be somebody else's tool. The local bridge speaks MCP over stdio and exposes ten of them: browser_snapshot, browser_navigate, browser_click, browser_type, browser_press, browser_scroll, browser_screenshot, browser_extract, browser_solve_captcha, and weboperator_execute_goal.
bash
cd weboperator-bridge
./install.sh
node mcp-server.js
install.sh registers the Native Messaging host that wires those calls to your active Chrome or Brave tab. Drop-in configs for Hermes and OpenClaw are already in weboperator-bridge/.
How it works
A goal arrives from the side panel or from an external MCP agent. From there the service worker runs the show — model calls, task state, retries, verification, schedules, storage. The content script does the hands-on part: it turns the page into an accessibility snapshot with stable element refs, then performs DOM actions against those refs. Whatever the page says is treated as data, never as instructions to follow. Twelve built-in skills sit on top as domain playbooks and kick in when the agent recognizes a matching site or task.
To read and act on the page you point it at, the extension asks for <all_urls> plus activeTab/tabs/scripting, and for debugger to reach the DevTools Protocol actions the plain DOM API cannot do. The rest are housekeeping: sidePanel for the UI, storage for settings and history, alarms for scheduled runs, downloads for the file-downloader skill, and nativeMessaging for the MCP bridge. bookmarks and tabGroups are optional and only requested when something actually needs them.
The debugger permission is why Chrome shows a yellow "WebOperator started debugging this browser" bar while an action runs. That bar belongs to Chrome, not to the extension, and it goes away as soon as the agent detaches.
Configuration and requirements
Configuration
Option
Default
What it does
Provider
ollama
Selects Ollama, Anthropic, DeepSeek, Gemini, MLX, OpenAI, an OpenAI-compatible endpoint of your own, OpenRouter, SiliconFlow, or xAI
Base URL (OpenAI-compatible)
http://127.0.0.1:8080/v1
Points the OpenAI-compatible provider at llama.cpp, LM Studio, vLLM, LiteLLM, or any gateway
Ollama URL
http://127.0.0.1:11434
Sets the local Ollama endpoint
Screenshot policy
auto
Controls automatic, always-on, or disabled vision
Action timeout
10000 ms
Limits a single browser action attempt
Domain allowlist / blocklist
empty
Restricts or rejects tasks by domain when populated
Bridge authentication
The bridge listens on 127.0.0.1:8765 and will accept unauthenticated calls until you set
WEBOPERATOR_API_TOKEN. Set it. Every bridge variable — bind host, port, socket and log
paths — is documented in docs/api.md.
Requirements
Chrome 120 or newer, or a Chromium browser of the same generation
Node.js and npm, if you build the extension yourself
A model that can call tools, served locally by Ollama or MLX or reached through one of the remote providers in the table above. Tool calling is the one hard requirement, because tool calls are the only way the agent acts. Reasoning and vision are nice to have — without them the agent still runs, and the step trace tells you which one it went without
The extension is not on the Chrome Web Store, so you load it unpacked
macOS or Linux, for the MCP bridge installer
shellcheck, only if you run the full local check gate
Limitations
Dynamic, canvas-heavy, or infinite-scroll pages can invalidate element refs between the moment the agent looks and the moment it acts.
Sites with bot detection or unusual focus handling can fail outright.
Long tasks drift. Checkpoints and context compression hold it back, but do not cure it.
Point it at a remote provider and that provider sees your page observations — text and screenshots included.
Chrome and Brave are the browsers we test. Other Chromium builds and Windows are untested, and the bridge installer flatly refuses to run outside macOS and Linux.
Troubleshooting
Ollama 403 — Ollama is refusing the extension's origin. Restart it with
OLLAMA_ORIGINS="chrome-extension://phbohkmfojcjbmgfnaikenmgemgckdpg,http://localhost:*" ollama serve. The origin has to be
spelled out: Ollama accepts chrome-extension://* into the list and then still answers 403. The id
above is fixed by the manifest key, and the side panel's own error message repeats it.
"Model stopped issuing tool calls" — the model cannot call tools, or is too small to do it reliably. Swap it; tool calling is the one hard requirement.
Chrome rejects the folder on Load unpacked — point it at core/dist or at the unzipped release folder, not at the repository root.
The bridge answers 401 — you set WEBOPERATOR_API_TOKEN on the bridge but the client is not sending it. Add Authorization: Bearer $WEBOPERATOR_API_TOKEN to the request.
A task fails on a page that looks fine — check the step trace in the side panel first; a stale element ref or a bot-detection wall shows up there as the failing action.
Contributing
Bug reports, feature requests and pull requests are all welcome.
CONTRIBUTING.md walks through the setup, the eight-step check gate every
change has to clear, and the commit conventions. Released versions are listed in
CHANGELOG.md.
Found a security problem? Please don't open a public issue — report it privately, the way
SECURITY.md describes.
Manual installation, Docker, development setup
From a release
Each archive on the releases page ships
with a .sha256 beside it, and is built and published by the release workflow from the
tagged commit once the full check gate passes.
From source
npm --prefix core ci && npm --prefix core run build, then load the result as an unpacked extension.
Docker
There is no Dockerfile or Compose configuration.
Development
npm --prefix core run dev gives you watch builds. ./scripts/check.sh runs the whole gate: fixture evals, bridge smoke test, typecheck, lint, unit tests, dead-code scan, shellcheck, and build.
