LinkedIn MCP Server enables AI assistants to access LinkedIn data for professional research and job search tasks. It retrieves profiles, companies, job postings, and recent company updates from the LinkedIn platform. Key features: - Retrieve detailed professional profiles and work histories from LinkedIn URLs - Access company information including size, industry, and recent activity - Look up job postings with role requirements, qualifications, and descriptions - Research candidates or companies for recruitment and partnership discussions - Analyze job requirements to suggest CV improvements and career targeting - Support for multiple transport protocols including stdio and SSE

LinkedIn MCP Server

Through this LinkedIn MCP server, AI assistants like Claude can connect to your LinkedIn. Access profiles and companies, search for jobs, or get job details.

Installation Methods

[](#-uvx-setup-recommended---universal) [](#-claude-desktop-mcp-bundle-formerly-dxt) [](#-docker-setup) [](#-local-setup-develop--contribute)

Usage Examples

Research the background of this candidate https://www.linkedin.com/in/stickerdaniel/

Get this company profile for partnership discussions https://www.linkedin.com/company/inframs/

Suggest improvements for my CV to target this job posting https://www.linkedin.com/jobs/view/4252026496

What has Anthropic been posting about recently? https://www.linkedin.com/company/anthropicresearch/

Features & Tool Status

| Tool | Description | Status | |------|-------------|--------| | get_person_profile | Get profile info with explicit section selection (experience, education, interests, honors, languages, contact_info, posts) | Working | | get_company_profile | Extract company information with explicit section selection (posts, jobs) | Working | | get_company_posts | Get recent posts from a company's LinkedIn feed | Working | | search_jobs | Search for jobs with keywords and location filters | Working | | search_people | Search for people by keywords and location | Working | | get_job_details | Get detailed information about a specific job posting | Working | | close_session | Close browser session and clean up resources | Working |

> [!IMPORTANT] > Breaking change: LinkedIn recently made some changes to prevent scraping. The newest version uses Patchright with persistent browser profiles instead of Playwright with session files. Old session.json files and LINKEDIN_COOKIE env vars are no longer supported. Run --login again to create a new profile + cookie file that can be mounted in docker. 02/2026

🚀 uvx Setup (Recommended - Universal)

Prerequisites: Install uv.

Installation

Client Configuration

{
  "mcpServers": {
    "linkedin": {
      "command": "uvx",
      "args": ["linkedin-scraper-mcp"]
    }
  }
}

The server starts quickly, prepares the shared Patchright Chromium browser cache in the background under ~/.linkedin-mcp/patchright-browsers, and opens a LinkedIn login browser window on the first tool call that needs authentication.

> [!NOTE] > Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. If you prefer to create a session explicitly, run uvx linkedin-scraper-mcp --login.

uvx Setup Help

🔧 Configuration

Transport Modes: