How do I use LinkedIn MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@LinkedIn MCP Show me my LinkedIn profile" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

🔗 LinkedIn MCP

The most reliable LinkedIn MCP server for AI assistants

Give Claude, Cursor, and any MCP-compatible AI assistant full access to LinkedIn — profiles, messaging, jobs, companies, and more. Zero local dependencies. Just add a URL.

Quick Start · Tools · Authentication · Comparison

✨ Why LinkedIn MCP?

	Feature	Description
🚀	Remote-First	Zero install — add a URL to your Claude config and go. No Python, no browser, no Docker required.
🔧	30+ Tools	The most comprehensive LinkedIn MCP available. Profiles, messaging, jobs, companies, network, feed, and more.
🔒	Secure	OAuth 2.0 + cookie authentication. Rate limiting, CORS, origin validation built-in.
⚡	Fast & Lightweight	API-based — no headless browser needed. ~5MB vs 500MB+ browser-based alternatives.
🌍	Reliable	No session expiry loops, no browser crashes, no dialog collisions. Stateless HTTP design.
🌐	Locale-Independent	Works worldwide. No English-only DOM selectors. API-based, not scraping.

Related MCP server: LinkedIn MCP Server

🚀 Quick Start

Method 1: Remote URL (Recommended)

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "linkedin": {
      "url": "https://your-deployed-url.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_TOKEN"
      }
    }
  }
}

Method 2: npx (No Install)

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "linkedinmcp"],
      "env": {
        "LINKEDIN_COOKIE": "your_li_at_cookie_value"
      }
    }
  }
}

Method 3: Clone & Run

git clone https://github.com/devag7/linkedin-mcp.git
cd linkedin-mcp
npm install
npm run dev

🛠 Available Tools

👤 Profile Tools

Tool	Description
`get_profile`	Get any LinkedIn profile with full details (experience, education, skills)
`get_my_profile`	Get the authenticated user's own profile
`get_profile_skills`	Get detailed skills with endorsement counts
`get_profile_recommendations`	Get recommendations given and received
`get_profile_activity`	Get a user's recent posts and activity
`get_sidebar_profiles`	Get "People also viewed" profile suggestions
`search_people`	Search people with advanced filters (location, company, title)

💬 Messaging Tools

Tool	Description
`get_inbox`	List inbox conversations with read/unread filters
`get_conversation`	Read a specific conversation thread
`search_conversations`	Search messages by keyword
`send_message`	Send a message (supports multiline, rich text)
`reply_to_thread`	Reply to an existing conversation by thread ID
`mark_conversation_read`	Mark a conversation as read

🏢 Company Tools

Tool	Description
`get_company`	Get company profile, description, and details
`get_company_posts`	Get recent posts from a company's feed
`get_company_employees`	List employees with filters
`search_companies`	Search companies by keyword and industry
`get_company_jobs`	Get open job positions at a company

💼 Job Tools

Tool	Description
`search_jobs`	Search jobs with keyword, location, and experience filters
`get_job_details`	Get detailed information about a job posting
`get_saved_jobs`	Get the user's saved/bookmarked jobs
`get_job_applicants`	Get applicant information (recruiter accounts)

🤝 Network Tools

Tool	Description
`connect_with_person`	Send a connection request with optional personalized note
`get_connections`	List 1st-degree connections, sorted by recently added
`get_pending_invitations`	View sent and received connection invitations
`withdraw_invitation`	Cancel a sent connection invitation
`accept_invitation`	Accept a received connection invitation
`get_network_stats`	Get network growth metrics and connection statistics

📰 Feed & Content Tools

Tool	Description
`get_feed`	Get posts from the home feed
`create_post`	Create a new text or image post
`react_to_post`	React to a post (like, celebrate, support, etc.)
`comment_on_post`	Add a comment to a post
`search_posts`	Search posts by keyword or hashtag

🔧 Utility Tools

Tool	Description
`whoami`	Get server info, auth status, and capabilities
`health_check`	Check server health and LinkedIn connectivity
`get_notifications`	Get recent LinkedIn notifications

🔐 Authentication

Method 1: LinkedIn OAuth 2.0 (Recommended)

Create an app at LinkedIn Developer Portal
Get your access token
Set the environment variable:

export LINKEDIN_ACCESS_TOKEN="your_access_token"

Log in to LinkedIn in your browser
Open DevTools → Application → Cookies → linkedin.com
Copy the li_at cookie value
Optionally copy the JSESSIONID cookie value (for CSRF)

export LINKEDIN_COOKIE="your_li_at_cookie_value"
export LINKEDIN_CSRF_TOKEN="your_jsessionid_value"

⚡ Comparison with Alternatives

Feature	LinkedIn MCP	linkedin-mcp-server
Transport	✅ Remote HTTP + stdio	❌ stdio only (local)
Install Required	✅ No — just add URL	❌ Python + Chromium (~500MB)
Browser Dependency	✅ None — API-based	❌ Patchright + Chromium
Language	TypeScript (MCP-native)	Python
Tools	30+	~15
Multiline Messages	✅ Native support	❌ Buggy (Shift+Enter hack)
Session Stability	✅ Stateless HTTP	❌ Session expiry loops
Connection Requests	✅ API-based, reliable	❌ Dialog collision bugs
Locale Support	✅ Worldwide	⚠️ English selectors
Docker Image Size	~50MB	~500MB+
Known Critical Bugs	0	10+ open issues

⚙️ Environment Variables

Variable	Required	Default	Description
`LINKEDIN_ACCESS_TOKEN`	One of these	—	LinkedIn OAuth access token
`LINKEDIN_COOKIE`	One of these	—	LinkedIn `li_at` session cookie
`LINKEDIN_CSRF_TOKEN`	No	—	LinkedIn `JSESSIONID` for CSRF protection
`PORT`	No	`3000`	HTTP server port
`TRANSPORT`	No	`stdio`	Transport mode: `stdio` or `http`
`LOG_LEVEL`	No	`info`	Log level: `debug`, `info`, `warn`, `error`
`CACHE_TTL`	No	`300`	Cache TTL in seconds
`RATE_LIMIT_RPM`	No	`30`	Max requests per minute
`REQUEST_TIMEOUT`	No	`30000`	Request timeout in milliseconds

🛠 Development

# Clone the repo
git clone https://github.com/devag7/linkedin-mcp.git
cd linkedin-mcp

# Install dependencies
npm install

# Run in development mode (stdio)
npm run dev

# Run in HTTP mode
npm run dev -- --transport http --port 3000

# Run tests
npm test

# Type checking
npm run typecheck

# Lint
npm run lint

# Build for production
npm run build

🤝 Contributing

Contributions are welcome! Please see our Contributing Guide for details.

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'feat: add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

📄 License

This project is licensed under the MIT License — see the LICENSE file for details.

⚠️ Disclaimer

This project is not officially affiliated with LinkedIn. Use responsibly and in accordance with LinkedIn's Terms of Service. The authors are not responsible for any misuse or account restrictions.

If you find this useful, please give us a ⭐! It helps others discover the project.

Made with ❤️ by Dev Agarwalla

This server cannot be installed

A

license - permissive license

-

quality - not tested

B

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

Related Servers

LinkedIn MCP

🔗 LinkedIn MCP

The most reliable LinkedIn MCP server for AI assistants

✨ Why LinkedIn MCP?

🚀 Quick Start

Method 1: Remote URL (Recommended)

Method 2: npx (No Install)

Method 3: Clone & Run

🛠 Available Tools

👤 Profile Tools

💬 Messaging Tools

🏢 Company Tools

💼 Job Tools

🤝 Network Tools

📰 Feed & Content Tools

🔧 Utility Tools

🔐 Authentication

Method 1: LinkedIn OAuth 2.0 (Recommended)

⚡ Comparison with Alternatives

⚙️ Environment Variables

🛠 Development

🤝 Contributing

📄 License

⚠️ Disclaimer

Maintenance

Resources

Latest Blog Posts

MCP directory API

🔗 LinkedIn MCP

The most reliable LinkedIn MCP server for AI assistants

✨ Why LinkedIn MCP?

🚀 Quick Start

Method 1: Remote URL (Recommended)

Method 2: npx (No Install)

Method 3: Clone & Run

🛠 Available Tools

👤 Profile Tools

💬 Messaging Tools

🏢 Company Tools

💼 Job Tools

🤝 Network Tools

📰 Feed & Content Tools

🔧 Utility Tools

🔐 Authentication

Method 1: LinkedIn OAuth 2.0 (Recommended)

Method 2: Session Cookie (Quick Setup)

⚡ Comparison with Alternatives

⚙️ Environment Variables

🛠 Development

🤝 Contributing

📄 License

⚠️ Disclaimer

Maintenance

Resources

Latest Blog Posts

MCP directory API