LinkedIn MCP server

Automate LinkedIn prospect data extraction with Apify's MCP server. Connect AI agents directly to profiles to capture comprehensive professional information, emails, and company data—no cookies or complex setup required.

POWERING THE WORLD'S TOP DATA-DRIVEN TEAMS

What is LinkedIn MCP server?

LinkedIn MCP server connects AI agents with LinkedIn scraper via the Model Context Protocol. It fetches comprehensive LinkedIn profile information, email addresses, mobile numbers, company details and more.

Cookieless profile scraping

Extract comprehensive LinkedIn profile data including personal information, work history, and company details without requiring LinkedIn cookies or authentication setup.

Email discovery capabilities

Automatically finds and returns email addresses from LinkedIn profiles to enhance lead generation and networking outreach efforts.

Mass profile processing

Efficiently scrapes multiple LinkedIn profile URLs simultaneously to gather bulk professional data for market research and prospecting campaigns.

One token to rule them all

Single Apify API key unlocks 6,000+ Actors and MCP servers. One account, one invoice and transparent usage tracking.

Dynamic tool discovery

Is LinkedIn MCP server not enough? Agents can search, evaluate, and add other Apify tools based on workflow needs.

Smart prompts and resources

Pre-built prompts and resources help agents understand tool capabilities and use cases.

Prerequisites

Before you start, make sure you have the following:

1

An Apify account

Sign up for a free Apify account if you don’t have one.

2

Apify API Token

Get your personal API token from the Integrations section in Apify Console. This token will be used to authorize the MCP server to run Actors on your behalf.

3

MCP client

An AI agent or client that supports MCP. This could be Anthropic Claude for Desktop, a VS Code extension with MCP support, Apify’s web-based Tester MCP Client, or any custom client implementation. You can also check supported MCP clients in official documentation.

How to set up LinkedIn MCP server

If you have an MCP client that supports streamable HTTP, connect using OAuth authentication by providing LinkedIn MCP server URL you can find below. You'll be redirected to your browser to sign in to your Apify account and approve the connection.

1{
2 "mcpServers": {
3 "apify": {
4 "url": "https://mcp.apify.com/?actors=dev_fusion/linkedin-profile-scraper"
5 }
6 }
7}

If you don't have an MCP client that supports streamable HTTP, you can still set up Apify's LinkedIn MCP server. For Claude for Desktop, enable MCP servers via the Developer settings. Then, you need to add an entry for the Apify MCP server. For instance, in Claude’s config file, under mcpServers, add an entry like:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y", "@apify/actors-mcp-server",
"--actors", "dev_fusion/linkedin-profile-scraper"
],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_TOKEN"
}
}
}
}

Task examples for LinkedIn MCP server

"What companies are currently hiring for software engineer positions in San Francisco?"

"Show me the profile and experience of John Smith who works at Microsoft"

"Find all marketing manager jobs at tech companies that were posted this week"

"What skills and endorsements does the CEO of OpenAI have on their LinkedIn profile?"

Sample dataset

Here's a sample of the data you can extract with our LinkedIn MCP server including comprehensive professional information, emails, company data, and profile details, and much more without the limitation of LinkedIn's official API.

{
"linkedinUrl": "https://www.linkedin.com/in/sarahchendesign",
"firstName": "Sarah",
"lastName": "Chen",
"fullName": "Sarah Chen",
"headline": "Chief Design Officer at FutureTech Solutions",
"connections": 2847,
"followers": 156420,
"email": "schen@futuretechsolutions.com",
"mobileNumber": "+1-415-555-0192",
"jobTitle": "Chief Design Officer",
"companyName": "FutureTech Solutions",
"companyIndustry": "Software Development",
"companyWebsite": "futuretechsolutions.com",
"companyLinkedin": "linkedin.com/company/futuretechsolutions",
"companyFoundedIn": 2015,
"companySize": "501-1000",
"currentJobDuration": "6 yrs 3 mos",
"currentJobDurationInYrs": 6.25,
"topSkillsByEndorsements": "User Experience Design",
"addressCountryOnly": "United States",
"addressWithCountry": "San Francisco, California, United States",
"addressWithoutCountry": "San Francisco, California",
"profilePic": "https://media.licdn.com/dms/image/v2/D4E03AQF8kL9mN2pQrA/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1698234567890?e=1762387200&v=beta&t=xYz123AbC456DeF789GhI012JkL345MnO678PqR901StU234",
"profilePicHighQuality": "https://media.licdn.com/dms/image/v2/D4E03AQF8kL9mN2pQrA/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1698234567890?e=1762387200&v=beta&t=vWx567YzA890BcD123EfG456HiJ789KlM012NoP345QrS678",
"about": "As Chief Design Officer at FutureTech Solutions, I lead a talented team of 50+ designers in creating intuitive, accessible, and beautiful digital experiences. With over 15 years in the tech industry, I'm passionate about human-centered design and its power to solve complex problems.\n\nBefore joining FutureTech, I spent 8 years at various startups and established tech companies, where I honed my skills in product design, design systems, and team leadership. I believe that great design is invisible—it just works.\n\nI'm a frequent speaker at design conferences worldwide and have been featured in publications like Fast Company, Wired, and Design Week. I also mentor aspiring designers through various programs and believe in giving back to the design community.\n\nWhen I'm not designing, you'll find me hiking in the Bay Area, experimenting with pottery, or volunteering at local nonprofits focused on digital literacy. I'm always excited to connect with fellow designers, entrepreneurs, and anyone passionate about creating meaningful experiences.\n\nLet's connect and build something amazing together!",
"publicIdentifier": "sarahchendesign",
"openConnection": false,
"urn": "ACoAABXy8NkB_QPmrYLpVn44zKJUXw2EuNBW7Rh"
}

Frequently asked questions

The LinkedIn MCP server is a tool that enables AI agents and applications to extract professional information, email addresses, company data, and prospect details from LinkedIn profiles. It provides programmatic access to comprehensive data beyond the limitations of LinkedIn's official API.

To use the LinkedIn MCP server, create an Apify account and get your API token. Then configure the server in your MCP-compatible client using either OAuth authentication or by adding the configuration with your token.

No, you don't need LinkedIn API key to use our LinkedIn MCP server. The server operates through Apify's infrastructure and only requires an Apify account with API token for authentication and access to the service.

You can access comprehensive professional information from LinkedIn profiles including personal details, work experience, education history, and skills data. The MCP server also extracts contact information like emails and company data to provide complete prospect intelligence for your AI agents.

The LinkedIn MCP server has no specific rate limits imposed by the service itself, but usage is subject to your Apify account's resource limits and pricing plan.

Ready to start using LinkedIn MCP server?