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 apify · MCP Server · ★ 9.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is apify-mcp-server safe to install? View the security audit →
mcp.apify.com
| Stars | 9,397 |
| Forks | 293 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.5401540207275/100 |
| Open Issues | 192 |
| Last Updated | 2026-10-02 |
| Created | 2025-01-02 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~20k |
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apify-mcp-server is The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automa. It is categorized as a MCP Server with 9.4k GitHub stars.
apify-mcp-server is primarily written in TypeScript. It covers topics such as agents, ai, mcp.
You can find installation instructions and usage details in the apify-mcp-server GitHub repository at github.com/apify/apify-mcp-server. The project has 9.4k stars and 293 forks, indicating an active community.
apify-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to apify-mcp-server on Agent Skills Hub include lamda, klavis, dbhub. 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: