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 fastcrw · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is crw safe to install? View the security audit →
fastCRW Turn URLs into clean markdown or structured JSON with one engine for search, scrape, map, crawl, and extract. Run it locally as a small Rust binary or use the managed API. Get 1000 free credits → · Install · Docs No credit card. Continue with GitHub. <img src="https://img.shields.io/github/stars/us/crw?s
| Stars | 1,062 |
| Forks | 84 |
| Language | Rust |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 64.1943675837897/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-23 |
| Created | 2026-03-02 |
| Platforms | browser, docker, mcp, rust |
| Est. Tokens | ~24k |
These tools work well together with crw for enhanced workflows:
Looking for a crw alternative? If you're comparing crw 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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crw is Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than T. It is categorized as a MCP Server with 1.1k GitHub stars.
crw is primarily written in Rust. It covers topics such as ai, ai-agents, crawler.
You can find installation instructions and usage details in the crw GitHub repository at github.com/fastcrw/crw. The project has 1.1k stars and 84 forks, indicating an active community.
crw is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to crw on Agent Skills Hub include crw, webclaw, pullmd. 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: