axuse
Accessibility-first browser & computer use for AI agents — one MCP server for every harness (Codex, Claude Code, OpenCode, Antigravity). Instruments the DOM/accessibility tree via CDP instead of screenshot loops: diffed snapshots, stable element refs, trusted input, typed errors. Zero dependencies
Install / Use
claude mcp add ctoldigital -- npx -y github:ctoldigital/axuseIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of axuse
axuse scores 84/100 on our quality scale, 2075th of 2,877 Automation skills we index.
Its MCP Server is 22 KB long, well organised into 20 sections with 13 code examples: a thorough specification that gives an agent plenty to work with.
It has 531 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated today, so axuse is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
axuse compared with similar skills
All 4 of these similar skills score higher than axuse; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| axuse (this skill)by ctoldigital | 84 | 531 | today | MCP Server |
| Agent-Reachby Panniantong | 100 | 104.8k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.0k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.6k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 90.0k | today | MCP Server |
Frequently asked questions
- How do I install axuse?
- Run
claude mcp add ctoldigital -- npx -y github:ctoldigital/axuse. The install tabs above show the steps for each supported agent. - Which AI agents does axuse work with?
- It is written for Claude Code, Claude Desktop and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is axuse safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is axuse still maintained?
- The repository was last updated today, so axuse is actively maintained.
Skill content
View source on GitHubaxuse — browser & computer use, done right
Accessibility-first browser and computer use for agent harnesses. One MCP server plugs into Codex, Claude Code, OpenCode, Antigravity, or any MCP-capable host. Zero dependencies (Node ≥ 22). Windows desktop driver is verified; macOS desktop control is available as an explicit opt-in with native TCC permission checks; Linux desktop control runs over X11/XWayland (XTEST input + capture + EWMH windows, zero extra packages).
The design is distilled from the two best implementations of this problem — OpenAI's Codex Chrome extension and the ZCode harness — and exists to prove a point: a screenshot loop is not the right interface for a machine. The DOM tree, the accessibility tree, and CDP are. axuse instruments the target instead of photographing it.
Not a developer? You don't need anything below. In the Claude desktop
app, download axuse.mcpb from ax-use.com and
double-click it. In ChatGPT's Codex app, Claude Code, Cursor or any other
agent, paste the install prompt and the
agent sets axuse up for you. See the
non-developer guide.
Proven in production
axuse is maintained by CTOL Digital Solutions (ctol.digital), a leading AI, Strategy and IT consultancy. This work has been tested and used at large scale across many client engagements. CTOL Digital Solutions holds the copyright of all the code.
Quick start
You need Node.js 22+ and a Chromium-family browser (Chrome, Edge,
Chromium, or Chrome for Testing; found automatically, or set
AXUSE_BROWSER=/path/to/chrome). On a bare server with no browser and no
sudo: node src/cli.js install-browser provisions a pinned Chrome for
Testing under ~/.cache/axuse — nothing else: axuse has no npm dependencies.
1. Get it and check the environment
git clone https://github.com/ctoldigital/axuse.git
cd axuse
node src/cli.js doctor # finds a browser, launches it, takes a snapshot
For a daily Chrome/Edge session, use the guided bridge setup. It registers the native host, opens the extensions page, prints the exact folder to load, and can print your harness configuration in the same command:
node src/cli.js setup --browser chrome --harness codex
After clicking Load unpacked once, verify the connection with:
node src/cli.js bridge verify
2. Add it to your harness (use your absolute path to src/cli.js)
# Codex
codex mcp add axuse -- node /abs/path/axuse/src/cli.js mcp
# Claude Code
claude mcp add --scope user axuse -- node /abs/path/axuse/src/cli.js mcp
# OpenCode, Antigravity, any other MCP host: print the config block to paste
node src/cli.js print-config --harness opencode # or agy | generic
3. Ask for something in the browser
Open https://example.com, find the "More information" link and tell me where it goes.
The agent calls ax_open, reads the accessibility snapshot, and acts on
element refs like [ref=e7]. Each action returns only what changed.
Optional settings (environment variables for the MCP server)
| variable | effect |
|---|---|
| AXUSE_SERVER_MODE | auto (default): on a display-less Linux server, boot a private Xvfb and keep Chrome fully headed on it (anti-bot-safe; see Servers, no desktop) |
| AXUSE_DISPLAY_SIZE | virtual display geometry for server mode (default 1920x1080x24; random = a stable geometry per machine, so a fleet is not all 1920x1080) |
| AXUSE_TIMEZONE | IANA TZ for the Chrome process — Date/Intl in pages and workers match the egress persona (validated by doctor) |
| AXUSE_LANG | --accept-lang for Chrome — navigator.language(s) and the Accept-Language header match the egress persona |
| AXUSE_PROXY | route every launched browser through a proxy (http://·socks5://, credentials supported — answered over CDP); ax_open {proxy} sets it per launch, and ax_open {timezone, lang} completes the per-instance persona |
| AXUSE_AMBIENT_MOTION | 0 disables idle pointer park-fuzz (default: automatic in server mode — the agent's "thinking" pauses still show a live hand) |
| AXUSE_MAX_BROWSERS / AXUSE_MAX_TABS | governance caps for massive operations (defaults 8 / 48) — typed failures instead of OOM spirals |
| AXUSE_NO_SANDBOX=1 | force --no-sandbox (auto for root/container server runs) |
| AXUSE_NEUTRALIZE_WEBDRIVER=0 | disable the navigator.webdriver posture-fix fallback (the AutomationControlled launch flag already fixes it at the source) |
| AXUSE_HEADLESS=1 | launch the browser without a window — trusted internal pages only: challenge/anti-bot pages detect headless first; servers get server mode instead |
| AXUSE_BROWSER | path to the browser binary |
| AXUSE_PROFILE_DIR | where temporary browser profiles go (default: OS temp; they are deleted on exit) |
| AXUSE_BRIDGE_DIR | override the local bridge state directory (default: ~/Library/Application Support/axuse on macOS) |
| AXUSE_ENABLE_MACOS_CUA=1 | enable macOS desktop tools (Accessibility + Screen Recording grants are still required) |
| AXUSE_BRIDGE_DEBUG=1 | trace the extension bridge |
To drive your own logged-in Chrome instead of a fresh browser, see Driving your daily browser.
Servers, no desktop (Ubuntu server lane)
axuse runs under agent CLIs (codex, claude code, opencode) on headless
Ubuntu servers. Challenge/anti-bot pages check is this a headless browser?
first, so server mode never uses --headless: it boots a private Xvfb and
runs Chrome fully headed on it — real headed build, no headless
fingerprint (verified live against Turnstile: ax_solve_captcha solves on a
server with no desktop, and the slider engine's human-curve drags land
10/10). Beyond headed-vs-headless, server mode covers persona
coherence (AXUSE_TIMEZONE/AXUSE_LANG matching the egress persona,
AXUSE_DISPLAY_SIZE=random fleet diversity, --disable-blink-features= AutomationControlled so navigator.webdriver stays false at the source)
and fleet hygiene (zombie-Xvfb sweep). Solver plugins that need vision call
a multimodal model through any OpenAI-compatible API; keys come from env
vars or an owner-only secrets file. One-time setup, systemd wiring, env
reference and scale notes: docs/server-mode.md —
and node src/cli.js doctor verifies the whole lane (it prints the measured
anti-bot posture and persona).
Benchmark
On 16 server-scored browser tasks, run in the same harness (Codex CLI) with the same model against Codex's own Chrome extension and browser-use 0.13:
| | axuse | Codex + Chrome extension | browser-use | |---|---|---|---| | tasks passed | 28/28 | 27/27 | 27/27 | | median time per task | 17 s | 26 s | 56 s | | tokens, all runs | 4.7M | 9.8M | 8.8M | | median tool calls | 5 | 7 | 12 |
Accuracy tied on those tasks. A harder 7-task extension (checkout flow,
virtualized grid, date pickers, signup errors, nested iframes, file upload,
local dev app) has been run once so far: axuse 7/7; Codex + Chrome failed 2
by stopping to ask for confirmation; browser-use failed 1. Method, anti-cheat
rules and how to reproduce: bench/suite/README.md.
Install footprint and setup comparison: bench/suite/EASE.md.
Why this is faster and more reliable than screenshot CUA
| | Screenshot CUA loop | axuse |
|---|---|---|
| Observation | ~1–2MB base64 raster per step, ~1k+ image tokens, vision-encoder latency | YAML-like AX snapshot in KBs; diff by default (only removed/added/changed lines) |
| Targeting | pixel coordinates guessed from an image; drifts with resolution/DPR | stable element refs bound to element identity (insertion-safe) + Playwright-style semantic lines |
| Input | synthetic DOM events (rejected by sites) or fragile OS injection | trusted CDP Input.dispatch* events (isTrusted) |
| Failure mode | silent misclick, discovered 2–3 screenshots later | typed errors: REF_NOT_FOUND / STALE_STATE / DIALOG_OPEN with retry hints and action_sent facts |
| Change detection | re-photograph everything | sequenced event ring buffer + snapshot diffing |
| Cost control | none | budgets enforced in code: snapshot char/node caps, screenshot byte budget with quality fallback, one raster per call |
Install into a harness
node src/cli.js print-config --harness codex # or claude-code | opencode | agy | generic
- Codex — append the printed
[mcp_servers.axuse]block to~/.codex/config.toml - Claude Code —
claude mcp add --scope user axuse -- node <path>/src/cli.js mcp - OpenCode — merge the printed
mcpblock intoopencode.json - Antigravity / any MCP host — the printed
mcpServersblock
Verify the environment: node src/cli.js doctor.
The model-facing usage contract lives in SKILL.md — point your
harness's skill system (or system prompt) at it.
Solver plugins (open core ↔ paid solvers)
axuse's core is CAPTCHA-agnostic and ships no solvers. Turnstile / hCaptcha /
reCAPTCHA solvers are separate, commercially licensed packages that plug in
through a thin, frozen seam (src/plugins/):
# install: drop a solver package into plugins/ (or list dirs in AXUSE_PLUGINS)
node src/cli.js plugins # → ✓ captcha-pro@1.0.0 — providers: turnstile, recaptcha-v2, hcaptcha
node src/cli.js solve turnstile --url https://demo.turnstile.workers.dev/
From any MCP harness: ax_solve_captcha { provider, url? } and ax_plugins.
Plugins that own capabilities (session vaults, network governors, guarded
actions…) can also contribute their own MCP tools through a validated
tools() export (ax_vault, ax_net, ax_guard, …) — same seam, same
trust boundary. The ABI, the solver context, the tools() contract, and
packaging/licensing guidance:
docs/plugins.md. A complete free (PolyForm Noncommercial
1.0.0) reference solver
lives in examples/plugin-turnstile-demo/.
Architecture
harness (Codex / Claude Code / OpenCode / Antigravity / …)
│ MCP over stdio (JSON-RPC 2.0) — the universal integration layer
▼
src/mcp/ — thin, stateless-per-call adapter (hand-rolled, zero deps)
│ one frozen command contract (src/core/commands.js)
▼
src/core/ — the state owner (Codex native-host / ZCode host pattern)
├─ controller.js sessions, tabs, state_id, dialogs, auto-observe diffs,
│ OOPIF frame registry (f-slot namespaced refs)
├─ cdp.js launch/attach Chromium, browser-level WebSocket, flat sessions,
│ Target.setAutoAttach for OOPIF auto-entry
├─ serialize.js injected AX serializer: element-identity refs, shadow DOM,
│ same-origin iframes (coordinate-translated), budgets
├─ diff.js per-ref diff + text-line multiset diff + cost-based full fallback
├─ actuate.js trusted Input.dispatch*, live ref resolution (frame-chain
│ coordinate translation), combos, waits
├─ screenshot.js one raster, byte budget, quality fallback, crop hints
└─ errors.js typed codes, retry hints, action_sent, side_effect
│
├─ src/bridge/ — Codex-style extension backend for the user's daily
│ Chrome/Edge: hub (TCP rendezvous, token auth, NDJSON) ←
│ native-messaging host (framed stdio relay) ← MV3 extension
│ (chrome.debugger = real CDP over the user's real browser)
│ + installer (registry/HKCU, host manifest, launcher) + backend
│ duck-typed onto the same command contract
▼
src/desktop/ — computer use (driver matrix)
├─ Windows: resident PowerShell + SendInput/GDI, DPI-aware —
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
