LinkedIn Enhanced MCP Server

An MCP (Model Context Protocol) server that provides tools and prompts for LinkedIn research, competitive analysis, and professional networking. It uses Apify's platform to handle LinkedIn scraping and data extraction.

Overview

This server integrates with MCP clients like Claude Desktop to offer specialized LinkedIn research capabilities. It connects to pre-built Apify actors for scraping, so you don't have to manage the scraping infrastructure yourself.

Key Features

Pre-configured Tools:
* LinkedIn Company Scraper – Fetches detailed company information.
* LinkedIn Profile Scraper – Researches individual professional profiles.
* Google Search Scraper – Provides enhanced web search.
* RAG Web Browser – Browses and extracts content intelligently.

Specialized Prompts:
The server includes prompts for common LinkedIn research tasks:
1. LinkedIn Company Research
2. LinkedIn People Research
3. LinkedIn Competitive Analysis
4. LinkedIn Job Market Analysis
5. LinkedIn Networking Strategy
6. LinkedIn Content Strategy
7. LinkedIn Recruitment Research

Primary Use Cases:
* Business development and prospect research
* Competitive intelligence and market analysis
* Talent acquisition and candidate research
* Professional networking strategy
* Content strategy optimization

How to Use

Installation

Recommended Method (Claude Desktop):
1. Download the DXT file: linkedin-enhanced-mcp.dxt
2. In Claude Desktop, go to Settings → Extensions → Install Extension.
3. Select the downloaded .dxt file and follow the prompts.
4. When prompted, enter your Apify API token (get it from Apify Console).

Alternative Method (MCP Configuration):
For Cline or other MCP clients, add this to your MCP settings:

"apify-remote": {
  "command": "npx",
  "args": [
    "mcp-remote",
    "https://mcp.apify.com/sse?enableAddingActors=true",
  ]
}

You can then ask your client to add the server: sameh.jarour/linkedin-enhanced-mcp-server.

Configuration & Verification

1. Get an Apify API Token: Visit Apify Console (Settings → Integrations).
2. Ensure Account Credits: LinkedIn scrapers typically cost 0.001-0.01 credits per profile. Make sure your account has sufficient credits.
3. Verify Installation: Restart your MCP client after setup. Check that LinkedIn tools appear in your available tools list.
4. Test Functionality: Try a basic prompt like:
   Company: Microsoft Focus: Recent AI initiatives

Troubleshooting:
* No tools visible: Check your API token configuration.
* Authentication errors: Verify the token is correct and has credits.
* Rate limiting: Reduce your request frequency.

Input / Output

Input: The server accepts natural language prompts or structured requests via the MCP protocol. You typically provide a target (company name, person, industry) and a focus area.

Example Inputs:
* Company: Microsoft Focus: AI strategy and partnerships
* Industry: SaaS productivity tools Competitors: Notion, Airtable, Monday.com
* Person: John Smith, VP Engineering at TechCorp Purpose: Potential hire

Output: Returns structured data extracted by the Apify actors, such as company details, profile information, competitive insights, or analysis summaries, formatted for use within your MCP client.

Technical Details:
* Runtime: Node.js 18+
* Platform: Apify MCP Server