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 AkashPriyadarshii · MCP Server · ★ 94
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jev-seo safe to install? View the security audit →
title: "jev-seo: FOSS Zero-Cost SEO & GEO Search Radar" description: "Open-source, subscription-free alternative to Semrush and OpenSEO. Powered by TypeSafe AI Jev and local DuckDuckGo scraping." canonical: "https://github.com/AkashPriyadarshii/jev-seo" keywords: seo geo generative-engine-optimization typesafe-ai jev rust mcp search-radar jev-seo FOSS, zero-cost SEO & GEO search radar for developers and coding agents By Akash Priyadarshi Why • Quickstart • Workflows • <a href="#architect
| Stars | 94 |
| Forks | 12 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.3348938435928/100 |
| Last Updated | 2026-10-03 |
| Created | 2026-09-18 |
| Platforms | claude-code, cli, mcp, rust |
| Est. Tokens | ~23k |
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jev-seo is Free Rust SEO and GEO toolkit powered by TypeSafe Jev: 58-rule audits, site crawls, AI citation checks, rank drift, CI gates, 15-tool MCP. Zero cost.. It is categorized as a MCP Server with 94 GitHub stars.
jev-seo is primarily written in Rust. It covers topics such as ahrefs-alternative, answer-engine-optimization, claude-code.
You can find installation instructions and usage details in the jev-seo GitHub repository at github.com/AkashPriyadarshii/jev-seo. The project has 94 stars and 12 forks, indicating an active community.
jev-seo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jev-seo on Agent Skills Hub include seo-skills, eGEOagents, canonry. 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: