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 gtm-api · MCP Server · ★ 89
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is linkedin-mcp safe to install? View the security audit →
gtm-api: LinkedIn MCP Server gtm-api is a managed LinkedIn MCP server. It gives an AI agent one endpoint, three MCP tools and 160+ typed LinkedIn actions over the Model Context Protocol, so Claude, ChatGPT or Cursor can search, connect, message and enrich on a LinkedIn account you own, with account safety enforced server side. This repository holds the public interface: what the server exposes, how to connect a client, and how the safety layer works. What is a LinkedIn MCP server? A LinkedIn MCP server exposes LinkedIn actions as Model Context Protocol tools, so an AI agent calls them directly, the way a person would click through the UI. LinkedIn publishes no official API for invitations, member messages or open profile search, so a LinkedIn MCP server works through an account you own rather than through LinkedIn's developer platform. Two shapes exist today. Cookie-driven open-source servers run a browser session with your ow
| Stars | 89 |
| Forks | 0 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.7872375178745/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-07-27 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~16k |
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linkedin-mcp is Managed LinkedIn MCP server for AI agents: search, connect, message & enrich on LinkedIn from Claude, ChatGPT or Cursor. Self-reported 20,000+ accounts at <1% ban.. It is categorized as a MCP Server with 89 GitHub stars.
linkedin-mcp is primarily written in TypeScript. It covers topics such as agent-skills, ai-agents, ai-sdr.
You can find installation instructions and usage details in the linkedin-mcp GitHub repository at github.com/gtm-api/linkedin-mcp. The project has 89 stars and 0 forks, indicating an active community.
linkedin-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to linkedin-mcp on Agent Skills Hub include social-media-skills, google-analytics-mcp, hanzi-browse. 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: