Lakome LinkedIn MCP Server

A lightweight Model Context Protocol (MCP) server providing AI agents with real-time LinkedIn profile extraction capabilities powered by the Lakome API.

This server acts as a bridge between LLM clients (such as Claude Desktop, Cursor, Cline, Roo Code, and custom AI agents) and the Lakome LinkedIn intelligence endpoint.

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⚡ Features

• Standard stdio Transport: Compatible with any standard MCP client.
• Single Specialized Tool: Exposes extract_linkedin_profile to extract full structured profile details (work experience, education, skills, headline, summary, contact info, and more).
• Batch Processing: Supports querying single or multiple LinkedIn profile URLs in a single request.
• Error Handling: Validates authentication keys and returns formatted error feedback.

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📋 Prerequisites

• Node.js v18.0.0 or higher
• A Lakome API Key (Get yours at mcp.lakome.in)

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🔑 Setting Your LAKOME_API_KEY

The server requires your LAKOME_API_KEY to authenticate requests with the Lakome API endpoint.

On macOS / Linux

export LAKOME_API_KEY="your_actual_lakome_api_key_here"

On Windows (PowerShell)

$env:LAKOME_API_KEY="your_actual_lakome_api_key_here"

On Windows (Command Prompt)

set LAKOME_API_KEY=your_actual_lakome_api_key_here

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🚀 Installation & Client Configuration

1. Claude Desktop Setup

Add the server configuration to your claude_desktop_config.json:

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

{
  "mcpServers": {
    "lakome-linkedin": {
      "command": "node",
      "args": [
        "/absolute/path/to/mcp-server/index.js"
      ],
      "env": {
        "LAKOME_API_KEY": "your_actual_lakome_api_key_here"
      }
    }
  }
}

Note for Windows users: Replace /absolute/path/to/mcp-server/index.js with your absolute Windows path (e.g., D:\\extensions and projects\\lakome API project\\mcp-server\\index.js).

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2. Cursor IDE Setup

Add the following to your project's .cursor/mcp.json or global MCP settings:

{
  "mcpServers": {
    "lakome-linkedin": {
      "command": "node",
      "args": [
        "./mcp-server/index.js"
      ],
      "env": {
        "LAKOME_API_KEY": "your_actual_lakome_api_key_here"
      }
    }
  }
}

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3. Smithery.ai CLI

You can install and run the server automatically via Smithery:

npx -y @smithery/cli install @lakome/linkedin-mcp --client claude

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🛠️ Tool Reference

extract_linkedin_profile

Extracts comprehensive, structured profile data and intelligence from one or more LinkedIn profile URLs.

Parameters

Name	Type	Required	Description
profileUrls	string[]	Yes	Array of LinkedIn profile URLs to extract (e.g. ["https://www.linkedin.com/in/williamhgates"])

Example Invocation

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella"
  ]
}

Example Output Response

[
  {
    "url": "https://www.linkedin.com/in/williamhgates",
    "data": {
      "fullName": "Bill Gates",
      "headline": "Co-chair, Bill & Melinda Gates Foundation",
      "location": "Seattle, Washington, United States",
      "summary": "Co-chair of the Bill & Melinda Gates Foundation. Founder of Breakthrough Energy...",
      "experiences": [
        {
          "title": "Co-chair",
          "company": "Bill & Melinda Gates Foundation",
          "dateRange": "2000 - Present"
        }
      ],
      "education": [
        {
          "schoolName": "Harvard University",
          "degreeName": "Honorary Doctorate",
          "fieldOfStudy": "Law"
        }
      ],
      "skills": ["Philanthropy", "Software Development", "Global Health"]
    },
    "status": "success"
  }
]

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🧪 Local Testing & Development

1. Install dependencies:

   cd mcp-server
   npm install
   

2. Run server locally:

   LAKOME_API_KEY="your_api_key" node index.js
   

3. Inspect with MCP Inspector:

   npx @modelcontextprotocol/inspector node index.js
   

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📄 License

MIT © Lakome