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MCP verified MIT Self-run

Linkedin Mcp

mcp-quinnjr-linkedin-mcp · by quinnjr

A comprehensive Model Context Protocol (MCP) server for LinkedIn API - manage profiles, posts, connections, skills, education, certifications, and more through AI agents

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Install

$ agentstack add mcp-quinnjr-linkedin-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

LinkedIn MCP Server

> 📚 View Full Documentation & Installation Guides →

A comprehensive Model Context Protocol (MCP) server for LinkedIn API integration. Manage your LinkedIn profile, posts, connections, skills, education, certifications, and more through AI agents like Claude, ChatGPT, and other LLM applications.

🚀 Features

📱 Social Features

  • Profile Management: Fetch and view your LinkedIn profile
  • Posts & Engagement: Retrieve posts with engagement metrics, share new content
  • Connections: Get and manage your professional network
  • People Search: Find professionals by keywords

📝 Profile Management (18 Tools Total)

  • Skills: Add and remove skills from your profile
  • Work Experience: Add, update, and delete positions
  • Education: Manage educational background
  • Certifications: Add and remove professional certifications
  • Publications: Manage your published works
  • Languages: Add language proficiency to your profile

💻 Developer Experience

  • Modern MCP SDK: Built with latest McpServer API (v1.1.0+)
  • OpenID Connect Support: Works with LinkedIn's modern OAuth 2.0 + OIDC authentication
  • Full TypeScript support with strict type checking
  • Comprehensive test suite: 67 test cases, 85%+ server coverage
  • Zod schema validation for type safety and input validation
  • Modern async/await patterns
  • Extensive logging and error handling
  • Latest dependencies (Vitest 4, Zod 4, MCP SDK 1.24+)

📋 Prerequisites

  • Node.js >= 18.0.0
  • LinkedIn Developer App (Client ID & Secret) or existing access token
  • pnpm, npm, or yarn

📦 Installation

# Using pnpm (recommended)
pnpm install @pegasusheavy/linkedin-mcp

# Using npm
npm install @pegasusheavy/linkedin-mcp

# Using yarn
yarn add @pegasusheavy/linkedin-mcp

🔧 Configuration

Authentication Setup

This server requires LinkedIn API access. Choose your authentication method:

Option 1: Automatic OAuth Flow (Recommended) 🚀

The server automatically handles OAuth authentication when you don't have an access token.

Step 1: Create a LinkedIn App

  1. Go to LinkedIn Developers
  2. Click "Create App" and fill in the required information
  3. Note your Client ID and Client Secret

Step 2: Configure OAuth Settings

  1. In your app settings, go to "Auth" tab
  2. Add http://localhost:50001/callback to "Authorized redirect URLs for your app"
  3. Request the following Products (in Products tab):
  • Sign In with LinkedIn using OpenID Connect (required for profile access)
  • Share on LinkedIn (required for posting)

> Note: The server uses OpenID Connect scopes (openid, profile, email, w_member_social) which work with the standard "Sign In with LinkedIn" product. No special API access required!

Step 3: Configure Your MCP Client

The server receives configuration through environment variables from your MCP client:

For Claude Desktop:

Edit your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_CLIENT_ID": "your_client_id_here",
        "LINKEDIN_CLIENT_SECRET": "your_client_secret_here"
      }
    }
  }
}

For Cursor IDE:

In .cursor/mcp.json:

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_CLIENT_ID": "your_client_id_here",
        "LINKEDIN_CLIENT_SECRET": "your_client_secret_here"
      }
    }
  }
}

What Happens:

  1. First time the server starts, it detects no access token
  2. Automatically opens your browser to LinkedIn's authorization page
  3. You authorize the application once
  4. Token is cached in memory for the session
  5. Token is automatically refreshed when it expires (within the same session)
  6. Each new session requires re-authorization (secure, no disk storage)
Option 2: Manual Access Token

If you already have an access token:

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your_token_here"
      }
    }
  }
}

Configuration Options

| Environment Variable | Required | Description | |---------------------|----------|-------------| | LINKEDIN_CLIENT_ID | For OAuth | Your LinkedIn app client ID | | LINKEDIN_CLIENT_SECRET | For OAuth | Your LinkedIn app client secret | | LINKEDIN_REDIRECT_URI | Optional | OAuth callback URL (default: http://localhost:50001/callback) | | LINKEDIN_ACCESS_TOKEN | Alternative | Use existing token instead of OAuth | | LOG_LEVEL | Optional | Logging verbosity: debug, info, warn, error (default: info) |

Token Management

Automatic Features:

  • In-Memory Caching - Tokens cached in memory during the session
  • Auto-Refresh - Expired tokens automatically refreshed within session
  • Session-Based - Authenticate once per MCP client session
  • No Disk Storage - Tokens never written to disk for maximum security

⚠️ Security Notes:

  • Memory only - Tokens stored in process memory, never on disk
  • Session scoped - Each new session requires re-authorization
  • CSRF protection - State parameter validation prevents attacks
  • Secure secrets - Client secrets never exposed to browser
  • Auto-cleanup - Tokens cleared when server stops

🎯 Usage

Claude Desktop

The easiest way to use this MCP server is with Claude Desktop.

Quick Start with OAuth (Recommended)
  1. Create a LinkedIn App (see [Configuration](#-configuration) above)
  1. Configure Claude Desktop

Open your Claude Desktop configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Add this configuration with your LinkedIn app credentials:

``json { "mcpServers": { "linkedin": { "command": "npx", "args": ["-y", "@pegasusheavy/linkedin-mcp"], "env": { "LINKEDIN_CLIENT_ID": "your_client_id_here", "LINKEDIN_CLIENT_SECRET": "your_client_secret_here" } } } } ``

  1. Restart Claude Desktop

Completely quit and restart Claude Desktop.

  1. Authorize on First Use

The first time Claude tries to use LinkedIn tools:

  • A browser window will open to LinkedIn's authorization page
  • Click "Allow" to authorize the application
  • The token is cached and automatically refreshed
  • All future uses work seamlessly without re-authorization
Alternative: Use an Existing Token

If you already have a LinkedIn access token:

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your_token_here"
      }
    }
  }
}
Step 4: Verify Installation

Once Claude Desktop restarts, you should see the LinkedIn MCP server connected. You can verify by asking Claude:

"Can you show me my LinkedIn profile?"
"What are my recent LinkedIn posts?"
"Add TypeScript to my LinkedIn skills"

Claude will now have access to all 18 LinkedIn tools! 🎉


Other MCP Clients

Cursor IDE

Add to your Cursor MCP settings (accessible via Cursor Settings → Features → Model Context Protocol):

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your_linkedin_access_token_here"
      }
    }
  }
}
Cline (VS Code Extension)

Add to your Cline MCP settings:

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your_linkedin_access_token_here"
      }
    }
  }
}
Continue

Add to ~/.continue/config.json:

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your_linkedin_access_token_here"
      }
    }
  }
}

As a Standalone Server (Advanced)

import { LinkedInMCPServer } from '@pegasusheavy/linkedin-mcp';
import { getConfig, validateConfig } from '@pegasusheavy/linkedin-mcp/config';

const config = getConfig();
validateConfig(config);

const server = new LinkedInMCPServer(config);
await server.start();

With MCP Client (Advanced)

import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';

const transport = new StdioClientTransport({
  command: 'linkedin-mcp',
});

const client = new Client({
  name: 'my-app',
  version: '1.0.0',
}, {
  capabilities: {},
});

await client.connect(transport);

// List available tools
const tools = await client.listTools();

// Call a tool
const result = await client.callTool({
  name: 'get_linkedin_profile',
  arguments: {},
});

Using CLI

# Start the server
linkedin-mcp

# With environment variables
LINKEDIN_ACCESS_TOKEN=xxx linkedin-mcp

🛠️ Available Tools

Social & Content Tools

get_linkedin_profile

Get your LinkedIn profile information.

Arguments: None

Returns:

{
  "id": "user-id",
  "firstName": "John",
  "lastName": "Doe",
  "headline": "Software Engineer at Tech Corp",
  "vanityName": "johndoe"
}
get_linkedin_posts

Get your recent LinkedIn posts with engagement metrics.

Arguments:

  • limit (number, optional): Maximum number of posts (default: 10)
get_linkedin_connections

Get your LinkedIn connections.

Arguments:

  • limit (number, optional): Maximum connections (default: 50)
share_linkedin_post

Share a new post on LinkedIn.

Arguments:

  • text (string, required): The post content

Returns:

{
  "id": "post-id",
  "url": "https://www.linkedin.com/feed/update/post-id"
}
search_linkedin_people

Search for people on LinkedIn.

Arguments:

  • keywords (string, required): Search keywords
  • limit (number, optional): Maximum results (default: 10)

Profile Management Tools

Skills

add_linkedin_skill - Add a skill to your profile

  • name (string, required): Skill name

delete_linkedin_skill - Remove a skill

  • skillId (string, required): Skill ID to delete
Work Experience

add_linkedin_position - Add a position

  • title (string, required): Job title
  • company (string, required): Company name
  • startYear (number, required): Start year
  • startMonth (number, optional): Start month (1-12)
  • endYear (number, optional): End year
  • endMonth (number, optional): End month
  • description (string, optional): Job description
  • current (boolean, optional): Is current position?

update_linkedin_position - Update an existing position

  • positionId (string, required): Position ID
  • All other fields optional

delete_linkedin_position - Remove a position

  • positionId (string, required): Position ID
Education

add_linkedin_education - Add education

  • schoolName (string, required): School name
  • degree (string, optional): Degree name
  • fieldOfStudy (string, optional): Field of study
  • startYear, startMonth, endYear, endMonth (optional)
  • grade (string, optional): GPA or grade
  • activities (string, optional): Activities and societies

delete_linkedin_education - Remove education

  • educationId (string, required): Education ID
Certifications

add_linkedin_certification - Add a certification

  • name (string, required): Certification name
  • authority (string, required): Issuing organization
  • licenseNumber (string, optional): License number
  • startYear, startMonth, endYear, endMonth (optional)
  • url (string, optional): Certificate URL

delete_linkedin_certification - Remove a certification

  • certificationId (string, required): Certification ID
Publications

add_linkedin_publication - Add a publication

  • name (string, required): Publication name
  • publisher (string, optional): Publisher name
  • year, month, day (optional): Publication date
  • description (string, optional): Description
  • url (string, optional): Publication URL

delete_linkedin_publication - Remove a publication

  • publicationId (string, required): Publication ID
Languages

add_linkedin_language - Add a language

  • name (string, required): Language name
  • proficiency (string, optional): ELEMENTARY, LIMITEDWORKING, PROFESSIONALWORKING, FULLPROFESSIONAL, NATIVEOR_BILINGUAL

delete_linkedin_language - Remove a language

  • languageId (string, required): Language ID

For detailed examples and usage patterns, see [PROFILEMANAGEMENT.md](PROFILEMANAGEMENT.md).

🧪 Development

Setup

# Clone the repository
git clone https://github.com/pegasusheavy/linkedin-mcp.git
cd linkedin-mcp

# Install dependencies
pnpm install

# Set environment variables for testing
export LINKEDIN_CLIENT_ID="your_client_id"
export LINKEDIN_CLIENT_SECRET="your_client_secret"
# Or use an existing access token
export LINKEDIN_ACCESS_TOKEN="your_token"

Running Tests

# Run all tests
pnpm test

# Run tests in watch mode
pnpm test:watch

# Run tests with coverage
pnpm test:coverage

# Type checking
pnpm run type-check

# Linting
pnpm run lint

Building

# Build the project
pnpm run build

# Run in development mode
pnpm run dev

📊 Test Coverage

This project maintains high test coverage:

  • Lines: 85%+
  • Functions: 100%
  • Branches: 72%+
  • Statements: 85%+
  • Total Tests: 67
pnpm test:coverage

🏗️ Architecture

src/
├── index.ts              # Entry point and CLI
├── server.ts             # MCP server implementation (18 tools)
├── config.ts             # Configuration management
├── logger.ts             # Logging utilities
├── types.ts              # TypeScript type definitions
├── linkedin-client.ts    # LinkedIn API client (OpenID Connect + legacy support)
├── oauth-manager.ts      # OAuth 2.0 flow management
├── oauth-service.ts      # OAuth token exchange service
└── *.test.ts             # Unit tests (67 tests)

🤝 Contributing

Contributions are welcome! Please follow these steps:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure tests pass (pnpm test)
  6. Commit your changes (git commit -m 'Add amazing feature')
  7. Push to the branch (git push origin feature/amazing-feature)
  8. Open a Pull Request

Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct and development process.

📝 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

Copyright (c) 2025-2026 Pegasus Heavy Industries

🔒 Security

Best Practices

  • Never commit API keys or tokens to version control
  • Use environment variables for all sensitive configuration
  • Rotate access tokens regularly
  • Follow the principle of least privilege for API scopes
  • Review the [Security Policy](SECURITY.md) for reporting vulnerabilities

📖 API Documentation

OAuth Scopes

The server requests the following OpenID Connect scopes:

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.