LinkedIn MCP Server
An MCP server for LinkedIn automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. It leverages Playwright and Browserbase to interact with LinkedIn through an existing authenticated
What is LinkedIn MCP Server?
LinkedIn MCP Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for linkedin automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. it leverages playwright and browserbase to interact w...
An MCP server for LinkedIn automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. It leverages Playwright and Browserbase to interact with LinkedIn through an existing authenticated
This server falls under the Browser Automation category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server for LinkedIn automation that enables users to
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx linkedin-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use LinkedIn MCP Server
The LinkedIn MCP Server is a Python-based automation tool that connects AI models to LinkedIn via Playwright browser automation, enabling programmatic access to profiles, job listings, messages, and company data through an authenticated browser session. It exposes over 15 distinct tools covering people search, profile extraction, messaging, job search, and company research, all without requiring the official LinkedIn API. Recruiters, job seekers, and sales professionals use it with Claude or other MCP clients to automate research tasks that would otherwise require manual browsing.
Prerequisites
- Python 3.10+ and uv package manager installed (pip install uv)
- A LinkedIn account with an active authenticated browser session
- Playwright browser dependencies (installed automatically on first run)
- An MCP client such as Claude Desktop to invoke the tools
Install the LinkedIn MCP server
Use uvx to run the latest version without a permanent installation, or clone the repository for local development. The uvx method is recommended for most users as it handles dependencies automatically.
# Recommended: run with uvx
uvx mcp-server-linkedin@latest
# Or via Docker
docker run --rm -i -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp \
stickerdaniel/linkedin-mcp-server:latest
# Or from source
git clone https://github.com/stickerdaniel/linkedin-mcp-server
cd linkedin-mcp-server && uv syncInitialize LinkedIn authentication
Run the --login flag to open a browser window where you can sign in to LinkedIn normally. The session data is saved to ~/.linkedin-mcp so subsequent runs use the authenticated session automatically.
uvx mcp-server-linkedin@latest --loginConfigure your MCP client
Add the LinkedIn MCP server to your Claude Desktop or other MCP client configuration. Set UV_HTTP_TIMEOUT=300 to prevent timeouts during longer browser automation operations.
{
"mcpServers": {
"linkedin": {
"command": "uvx",
"args": ["mcp-server-linkedin@latest"],
"env": {
"UV_HTTP_TIMEOUT": "300"
}
}
}
}Search for people or jobs
Use the search_people tool to find professionals by keyword, location, company, or connection degree. The search_jobs tool accepts filters for job title, location, and company to find relevant postings.
Extract profiles and manage messages
Use get_person_profile with a LinkedIn profile URL to extract structured data including experience, education, and certifications. Access your inbox with get_inbox, read threads with get_conversation, and send messages with send_message.
LinkedIn MCP Server Examples
Client configuration
Claude Desktop configuration for the LinkedIn MCP server with recommended timeout settings.
{
"mcpServers": {
"linkedin": {
"command": "uvx",
"args": ["mcp-server-linkedin@latest"],
"env": {
"UV_HTTP_TIMEOUT": "300"
}
}
}
}Prompts to try
Example tasks to perform after connecting the LinkedIn MCP server to Claude.
- "Search for senior software engineers at fintech companies in New York with 2nd degree connections"
- "Get the profile of linkedin.com/in/satya-nadella including their full experience"
- "Search for remote Python developer jobs posted in the last week"
- "Check my LinkedIn inbox and summarize any unread messages"
- "Find employees at Stripe who have the title 'Staff Engineer'"Troubleshooting LinkedIn MCP Server
Browser opens to a CAPTCHA or security verification on login
Complete the CAPTCHA manually during the --login flow. LinkedIn may require verification for new browser profiles. Using a residential IP or your usual machine reduces the likelihood of CAPTCHA challenges.
Tool calls time out after a few seconds
Increase the timeout with the --tool-timeout flag (default 180s) and set UV_HTTP_TIMEOUT=300 in the environment. Page load speeds on LinkedIn vary significantly based on network conditions.
Session expires and requires re-authentication
Run 'uvx mcp-server-linkedin@latest --login' again to refresh the browser session stored in ~/.linkedin-mcp. LinkedIn sessions typically last several weeks but can expire sooner if detected as automated.
Frequently Asked Questions about LinkedIn MCP Server
What is LinkedIn MCP Server?
LinkedIn MCP Server is a Model Context Protocol (MCP) server that mcp server for linkedin automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. it leverages playwright and browserbase to interact with linkedin through an existing authenticated It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LinkedIn MCP Server?
Follow the installation instructions on the LinkedIn MCP Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with LinkedIn MCP Server?
LinkedIn MCP Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LinkedIn MCP Server free to use?
Yes, LinkedIn MCP Server is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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