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 runesleo · MCP Server · ★ 963
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is x-reader safe to install? View the security audit →
x-reader Universal content reader — fetch, transcribe, and digest content from any platform. Give it a URL (article, video, podcast, tweet), get back structured content. Works as CLI, Python library, MCP server, or Claude Code skills. 简体中文： README.zh.md / README.zh-CN.md What It Does The Python layer handles text fetching and YouTube subtitle extraction. The Claude Code skills (optional) add full Whisper transcription for video/podcast and AI-powered content analysis. Three Layers x-reader is composable. Use the layers you need: O
| Stars | 963 |
| Forks | 94 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.566163021253/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-30 |
| Created | 2026-02-22 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~13k |
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x-reader is Universal content reader MCP Server for 10+ platforms. It is categorized as a MCP Server with 963 GitHub stars.
x-reader is primarily written in Python. It covers topics such as ai-agents, content-extraction, mcp.
You can find installation instructions and usage details in the x-reader GitHub repository at github.com/runesleo/x-reader. The project has 963 stars and 94 forks, indicating an active community.
x-reader is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to x-reader on Agent Skills Hub include linkedin-mcp-server, brightdata-mcp, cheatengine-mcp-bridge. 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: