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 mdowis · MCP Server · ★ 112
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is anansi safe to install? View the security audit →
The spider that learns. Every web scraper starts working. The question is how long before it breaks. Anansi is built on a different assumption: the web is adversarial and unstable, and your scraper should handle that without your involvement. When a site changes its layout, Anansi finds the data anyway and remembers the fix: CSS selectors are scored by confidence and healed automatically. When a page needs a browser to render, it switches to one silently. When bot detection gets in the way, it mimics Chrome's TLS fingerprint at the network level, the layer most scrapers never think about. When you re-crawl, unchanged pages are skipped before a request is even made. When extraction goes wrong, Pydantic validation catches it immediately instead of letting garbage accumulate in your database. The result: a crawler that handles hostile sites, survives redesigns, and gets better the longer it runs. Ships with an MCP server so any LLM can drive a full crawl through a conversation. Capabilities JSON-LD, Open Graph, and Microdata are extracted from every pag
| Stars | 112 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.9193904535691/100 |
| Last Updated | 2026-09-02 |
| Created | 2026-05-14 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~20k |
These tools work well together with anansi for enhanced workflows:
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anansi is A self-healing scraper for hostile sites: broken selectors repair themselves, browser rendering kicks in when needed, and a coherent identity layer (Chrome TLS fingerprints, matched personas, vendor-a. It is categorized as a MCP Server with 112 GitHub stars.
anansi is primarily written in Python. It covers topics such as adaptive-scraping, ai-agent, anti-bot.
You can find installation instructions and usage details in the anansi GitHub repository at github.com/mdowis/anansi. The project has 112 stars and 19 forks, indicating an active community.
anansi is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to anansi on Agent Skills Hub include deepcloak, web-scout-mcp, camofox-mcp. 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: