# MCP Server for LinkedIn

> MCP Server for LinkedIn — bartest5-stickerdaniel-linkedin-mcp-server. Use this tool when you need to access LinkedIn data programmatically, such as retrieving profiles, companies, or job listings, without requiring explicit API credentials. It solves problems related to web scraping and data extraction from LinkedIn by leveraging a logged-in browser session. The tool takes browser session inputs and outputs LinkedIn data, making it ideal for use cases where AI assistants require real-time access to LinkedIn information.

Canonical page: https://skillsregistry.net/skills/bartest5-stickerdaniel-linkedin-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/bartest5-stickerdaniel-linkedin-mcp-server

## Description

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p6ls7cq0d5)
- **Repository:** <https://github.com/bartest5/stickerdaniel_linkedin-mcp-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": "bartest5-stickerdaniel-linkedin-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bartest5-stickerdaniel-linkedin-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bartest5-stickerdaniel-linkedin-mcp-server/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
