axuse: Accessibility-first browser & computer use for AI agents — one MCP server for every harness

by ctoldigital · MCP Server · ★ 774

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install axuse

git clone https://github.com/ctoldigital/axuse.git
codex mcp add axuse -- node /abs/path/axuse/src/cli.js mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-automationai-agentsbrowser-automationbrowser-usecdpchrome-devtools-protocolcomputer-usecuamcpmodel-context-protocol

Quick Facts

Stars774
Forks41
LanguageJavaScript
CategoryMCP Server
Quality Score69/100
Open Issues3
Last Updated2026-11-03
Created2026-10-14
Platformsbrowser, claude-code, codex, mcp, node
Est. Tokens~17k

About axuse

axuse — 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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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