# LinkedIn

> LinkedIn — alinaqi-linkedin. Use this tool when you need to automate LinkedIn interactions, such as browsing feeds, searching profiles, or interacting with posts, to support social media engagement, professional networking, or talent acquisition tasks. It provides a secure and compliant bridge to LinkedIn's platform, handling rate limiting, error handling, and session management. Ideal for AI applications requiring reliable and responsible automation of LinkedIn operations.

Canonical page: https://skillsregistry.net/skills/alinaqi-linkedin  
JSON: https://api.skillsregistry.net/v1/skills/alinaqi-linkedin

## Description

This MCP server implementation provides a bridge to LinkedIn's platform, enabling AI assistants to perform various LinkedIn operations such as logging in, browsing feeds, searching profiles, viewing specific profiles, and interacting with posts. Developed by alinaqi, it uses Playwright for browser automation and implements secure session management with encrypted cookie storage. The server offers tools for both manual and automated LinkedIn interactions, making it particularly useful for AI applications requiring social media engagement, professional networking, or talent acquisition tasks. It focuses on rate limiting, error handling, and maintaining compliance with LinkedIn's terms of service, ensuring robust and responsible automation of LinkedIn activities.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alinaqi-linkedin)
- **Repository:** <https://github.com/alinaqi/mcp-linkedin-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alinaqi-linkedin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alinaqi-linkedin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alinaqi-linkedin/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt