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 bsab · MCP Server · ★ 97
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is italia-mcp-servers safe to install? View the security audit →
Italia MCP Servers 🇮🇹 Catalogo curato di server Model Context Protocol dedicati a dati, norme e servizi italiani. Esplora il catalogo · Consulta l'API JSON · Proponi un server · Contribuisci Cos'è questo repository Il
| Stars | 97 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.3027452618859/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-11 |
| Created | 2026-09-01 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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italia-mcp-servers is Catalogo curato dei server MCP (Model Context Protocol) italiani — dati pubblici, legal-tech, fatturazione, PA e altro.. It is categorized as a MCP Server with 97 GitHub stars.
italia-mcp-servers is primarily written in Python. It covers topics such as awesome-list, civic-tech, italian.
You can find installation instructions and usage details in the italia-mcp-servers GitHub repository at github.com/bsab/italia-mcp-servers. The project has 97 stars and 2 forks, indicating an active community.
italia-mcp-servers is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to italia-mcp-servers on Agent Skills Hub include FirstData, pasal, openecon-data. 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: