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LinkedInMCP: Revolutionizing LinkedIn API Interactions

Source

Model Context Protocol (MCP) server for LinkedIn API integration

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Overview

LinkedInMCP is a Model Context Protocol (MCP) server designed to enhance interactions with the LinkedIn API, providing a flexible and powerful framework for data integration.

To use LinkedInMCP, set up a LinkedIn Developer account, clone the repository, install dependencies, and configure the necessary environment variables. Start the server and interact with LinkedIn data through the provided tools.

  • Intelligent context management for advanced data handling - Secure, type-safe interactions with the LinkedIn API - Extensible architecture for customization - Standardized protocol following MCP specifications
  1. Talent acquisition for sourcing candidates and analyzing talent pools.
  2. Sales and business development for lead generation and account-based marketing.
  3. Market research for tracking industry trends and skill demand.
  4. Integration capabilities with CRM and ATS systems.

Add to your AI client

Use these steps to connect LinkedInMCP: Revolutionizing LinkedIn API Interactions in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "linkedin-mcp-server-dishant27": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-linkedin-mcp-server-dishant27"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "linkedin-mcp-server-dishant27": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-linkedin-mcp-server-dishant27"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "linkedin-mcp-server-dishant27": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-linkedin-mcp-server-dishant27"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "linkedin-mcp-server-dishant27": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-linkedin-mcp-server-dishant27"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "linkedin-mcp-server-dishant27": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-linkedin-mcp-server-dishant27"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "linkedin-mcp-server-dishant27": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-linkedin-mcp-server-dishant27"
      ]
    }
  }
}

FAQ

Is LinkedInMCP secure?

Yes, it implements OAuth 2.0 for authentication and has multiple layers of data protection.

Can I customize LinkedInMCP?

Yes, the architecture is designed to be extensible and customizable for various use cases.

What technologies does LinkedInMCP use?

It is built with TypeScript and utilizes the LinkedIn API, OAuth 2.0, and other modern technologies.

Developer tools