Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Automations-Project · MCP Server · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is VSCode-Perplexity-MCP safe to install? View the security audit →
Perplexity MCP for 15+ IDEs Long‑lived Perplexity browser session, auto‑config for 20+ IDEs, and a VS Code extension – all in one monorepo. <a href="https://gith
| Stars | 70 |
| Forks | 14 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.6216705335262/100 |
| Last Updated | 2026-07-17 |
| Created | 2026-04-27 |
| Platforms | browser, claude-code, codex, gemini, mcp, node, vscode |
| Est. Tokens | ~20k |
These tools work well together with VSCode-Perplexity-MCP for enhanced workflows:
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VSCode-Perplexity-MCP is Perplexity AI search, reasoning, research, and compute - MCP server, dashboard, and multi-IDE auto-config for VS Code.. It is categorized as a MCP Server with 70 GitHub stars.
VSCode-Perplexity-MCP is primarily written in TypeScript. It covers topics such as ai, browser-automation, claude.
You can find installation instructions and usage details in the VSCode-Perplexity-MCP GitHub repository at github.com/Automations-Project/VSCode-Perplexity-MCP. The project has 70 stars and 14 forks, indicating an active community.
VSCode-Perplexity-MCP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to VSCode-Perplexity-MCP on Agent Skills Hub include postman-mcp-server, vscode-mcp, youtube-connector-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: