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 RapierCraft · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Perplexity-Comet-MCP safe to install? View the security audit →
Perplexity Comet MCP []() A production-grade MCP (Model Context Protocol) server that bridges Claude Code with Perplexity's Comet browser for autonomous web browsing, research, and multi-tab workflow management. Why Perplexity Comet MCP? This is a significantly enhanced fork of hanzili/comet-mcp with Windows support, smart completion detection, robust connection handling, and full tab management. Features Core Capabilities Autonomous Web Browsing - Comet navigates, clicks, types, and extracts
| Stars | 51 |
| Forks | 20 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 79.0553290436031/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-22 |
| Created | 2026-01-10 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~17k |
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Perplexity-Comet-MCP is MCP server connecting Claude Code to Perplexity Comet browser. Autonomous web browsing, agentic research, multi-tab management. Windows/WSL/macOS support. Smart completion detection, auto-reconnect, t. It is categorized as a MCP Server with 51 GitHub stars.
Perplexity-Comet-MCP is primarily written in TypeScript. It covers topics such as ai-agent, anthropic, browser-automation.
You can find installation instructions and usage details in the Perplexity-Comet-MCP GitHub repository at github.com/RapierCraft/Perplexity-Comet-MCP. The project has 51 stars and 20 forks, indicating an active community.
Perplexity-Comet-MCP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Perplexity-Comet-MCP on Agent Skills Hub include intellegix-code-agent-toolkit, claude-historian-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: