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 jae-jae · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fetcher-mcp safe to install? View the security audit →
中文 | Deutsch | Español | français | 日本語 | 한국어 | Português | Русский Fetcher MCP MCP server for fetch web page content using Playwright headless browser. 🌟 Recommended: OllaMan - Powerful Ollama AI Model Manager. Advantages JavaScript Support: Unlike traditional web scrapers, Fetcher MCP uses Playwright to execute JavaScript, making it capable of handling dynamic web content and modern web applications. Intelligent Content Extraction: Built-in Readability algorithm automatically extracts the main content from web pages, removing ads, navigation, and other non-essential elements. Flexible Output Format: Supports both HTML and Markdown output formats, making it easy to integrate with various downstream applications. Parallel Processing: The tool enables concurrent fet
| Stars | 1,085 |
| Forks | 100 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 80.8706642084005/100 |
| Open Issues | 13 |
| Last Updated | 2026-01-14 |
| Created | 2025-03-19 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~9k |
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fetcher-mcp is MCP server for fetch web page content using Playwright headless browser.. It is categorized as a MCP Server with 1.1k GitHub stars.
fetcher-mcp is primarily written in TypeScript. It covers topics such as ai, mcp, playwright.
You can find installation instructions and usage details in the fetcher-mcp GitHub repository at github.com/jae-jae/fetcher-mcp. The project has 1.1k stars and 100 forks, indicating an active community.
fetcher-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fetcher-mcp on Agent Skills Hub include mcp-server-browserbase, reverse-api-engineer, code-graph-rag. 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: