Flagged: reads sensitive env vars. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by KnockOutEZ · MCP Server · ★ 5.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wigolo safe to install? View the security audit →
🌐 wigolo The go-to web for your agent. Local-first web intelligence over MCP — no keys, no cloud, no metered bill. Quickstart · Tools · Architecture · Setup · Reference · Compare · Contribute wigolo runs on your machine as an MCP server and hands an AI coding agent one durable surface for everything web-related: search, fetch, crawl, extract, cache, find-similar, research, and autonomous gather loops. It needs no API keys to do its core work, and nothing it touches leaves . The goal of the project is plain: web search and research for agents should be as good as the paid services — and stay open, local, and free — instead of being a meter y
| Stars | 5,362 |
| Forks | 434 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 62.6627906116328/100 |
| Open Issues | 65 |
| Last Updated | 2026-09-21 |
| Created | 2026-04-12 |
| Platforms | browser, claude-code, cli, mcp, node |
| Est. Tokens | ~20k |
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wigolo is The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.. It is categorized as a MCP Server with 5.4k GitHub stars.
wigolo is primarily written in TypeScript. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the wigolo GitHub repository at github.com/KnockOutEZ/wigolo. The project has 5.4k stars and 434 forks, indicating an active community.
The top alternatives to wigolo on Agent Skills Hub include zcf, mcp-searxng, firecrawl-mcp-server. 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: