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 OpenRecruiterTools · MCP Server · ★ 8
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is linkedin-toolkit safe to install? View the security audit →
AI copilot for LinkedIn: an MCP server + Chrome extension that lets Claude, Cursor, or any agent search, research and reach out through your own logged-in browser, with a human approval queue. Open-source alternative to Waalaxy and PhantomBuster.
| Stars | 8 |
| Forks | 4 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.9306863457324/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-30 |
| Created | 2026-05-07 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~18k |
These tools work well together with linkedin-toolkit for enhanced workflows:
Looking for a linkedin-toolkit alternative? If you're comparing linkedin-toolkit with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Managed LinkedIn MCP server for AI agents: search, connect, message & enrich on LinkedIn from Claude, ChatGPT
MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.
MCP server + Chrome extension that gives AI agents control of your real browser with existing sessions and log
LinkedIn automation skills for AI agents – sales, social selling, data extraction, and more.
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and sea
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linkedin-toolkit is AI copilot for LinkedIn: an MCP server + Chrome extension that lets Claude, Cursor, or any agent search, research and reach out through your own logged-in browser, with a human approval queue. Open-so. It is categorized as a MCP Server with 8 GitHub stars.
linkedin-toolkit is primarily written in JavaScript. It covers topics such as ai-agents, ai-copilot, chrome-extension.
You can find installation instructions and usage details in the linkedin-toolkit GitHub repository at github.com/OpenRecruiterTools/linkedin-toolkit. The project has 8 stars and 4 forks, indicating an active community.
linkedin-toolkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to linkedin-toolkit on Agent Skills Hub include linkedin-mcp, linkedapi-mcp, real-browser-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: