ember — security grade SAFE, quality 47/100

Security audit verdict: SAFE · quality 47/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by andalabx · MCP Server · ★ 5

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

🔒 Is ember safe to install? View the security audit →

About ember

Lightweight headless browser for AI agents

agent-infraagentsai-agentsheadless-browserlightweightllm-toolsmcpopen-sourceweb-crawlerweb-scraping

Quick Facts

Stars5
Forks0
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score47.4873164584639/100
Last Updated2026-07-22
Created2026-06-26
Platformsbrowser, mcp, python
Est. Tokens~13k

ember alternative? Top 6 similar tools

Looking for a ember alternative? If you're comparing ember with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • agent-skills by Nimbleway · ⭐ 56

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  • opencode-browser by michaljach · ⭐ 82

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Frequently Asked Questions

What is ember?

ember is Lightweight headless browser for AI agents. It is categorized as a MCP Server with 5 GitHub stars.

What programming language is ember written in?

ember is primarily written in Python. It covers topics such as agent-infra, agents, ai-agents.

How do I install or use ember?

You can find installation instructions and usage details in the ember GitHub repository at github.com/andalabx/ember. The project has 5 stars and 0 forks, indicating an active community.

What license does ember use?

ember is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ember?

The top alternatives to ember on Agent Skills Hub include cloakbrowser-mcp, camofox-mcp, mcp-batchit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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