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 oxylabs · MCP Server · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oxylabs-mcp safe to install? View the security audit →
Oxylabs MCP Server The missing link between AI models and the real‑world web: one API that delivers clean, structured data from any site. 📖 Overview The Oxylabs MCP server provides a bridge between AI models and the web. It enables them to scrape any URL, render JavaScript-heavy pages, extract and format content for AI use, manage CAPTCHA, and access geo-restricted web data from 195+ countries.
| Stars | 104 |
| Forks | 25 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.3210620160106/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-07 |
| Created | 2025-01-17 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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oxylabs-mcp is Official Oxylabs MCP integration. It is categorized as a MCP Server with 104 GitHub stars.
oxylabs-mcp is primarily written in Python. It covers topics such as ai-tools, data-collection, e-comerce-scraping.
You can find installation instructions and usage details in the oxylabs-mcp GitHub repository at github.com/oxylabs/oxylabs-mcp. The project has 104 stars and 25 forks, indicating an active community.
oxylabs-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oxylabs-mcp on Agent Skills Hub include gopher-mcp, youtube-connector-mcp, web-agent-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: