Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by badchars · MCP Server · ★ 305
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is darknet-mcp-server safe to install? View the security audit →
English | 简体中文 | 繁體中文 | 한국어 | Deutsch | Español | Français | Italiano | Dansk | 日本語 | Polski | Русский | Bosanski | العربية | Norsk | Português (Brasil) | ไทย | Türkçe | Українська | বাংলা | Ελληνικά | Tiếng Việt | हिन्दी Dark web & threat intelligence for AI agents. <p align="center
| Stars | 305 |
| Forks | 39 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.3916136040077/100 |
| Open Issues | 8 |
| Last Updated | 2026-07-28 |
| Created | 2026-06-23 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~13k |
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darknet-mcp-server is 66-tool MCP server for dark web intelligence — breach data, ransomware tracking, Tor .onion access, malware analysis, blockchain intel, exploit search, stealer logs. It is categorized as a MCP Server with 305 GitHub stars.
darknet-mcp-server is primarily written in TypeScript. It covers topics such as ai-agent, breach, claude.
You can find installation instructions and usage details in the darknet-mcp-server GitHub repository at github.com/badchars/darknet-mcp-server. The project has 305 stars and 39 forks, indicating an active community.
darknet-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to darknet-mcp-server on Agent Skills Hub include world-intel-mcp, mcp-shodan, mcp-virustotal. 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: