LinkedIn Intelligence & Research MCP Server

A production-ready Model Context Protocol (MCP) server for LinkedIn Profile & Activity Intelligence, Deep 15-Dimension Post Analysis, Business Signal Detection (GA4, GTM, Meta CAPI), Prospect ICP Matching, and Sales Opportunity Discovery.

📌 Features

• 🕵️ linkedin_research_profile Orchestrator: High-level command that runs end-to-end profile research, normalizes activity, extracts topics, detects signals, evaluates ICP match, and returns actionable outreach angles.

• 👤 Static Profile Intelligence (linkedin_analyze_profile): Analyzes headline, about section, role, company size, and positioning.

• 📝 Deep Post Analyzer (linkedin_analyze_post): 15-dimension post matrix (Topic, Post Type, Hook, Audience, Intent, Tone, CTA, Pain Points, Tools, Sentiment, Commercial Intent).

• 📡 Business Signal Detector (linkedin_detect_business_signals): Identifies Growth (hiring, expansion), Marketing (funnels, CRM), and Technical Tracking signals (GA4, GTM, Meta CAPI, Attribution).

• 🎯 ICP Prospect Matcher (linkedin_analyze_prospect): Evaluates profile fit against custom Ideal Customer Profile rules with confidence scoring.

• 💡 Opportunity Finder (linkedin_find_opportunities): Maps user discussions into technical tracking service opportunities (e.g. GA4 offline conversion tracking).

• 📅 Activity Timeline (linkedin_build_activity_timeline): Constructs a chronological summary of professional activity over custom date ranges.

• 📑 MCP Resources (linkedin://): Exposes static/dynamic URIs (linkedin://profiles/{id}, linkedin://profiles/{id}/analysis, linkedin://profiles/{id}/signals).

• 💬 MCP Prompts: Includes reusable prompt workflows (/profile-analysis, /prospect-analysis, /find-tracking-opportunities).

Related MCP server: MCP LinkedIn Sales Navigator

🛠️ Installation & Build

# Install dependencies
npm install

# Run Vitest unit test suite
npm test

# Compile TypeScript to dist/
npm run build

# Start MCP server on stdio transport
npm start

⚙️ MCP Client Configuration

Cursor IDE Configuration

Add to .cursor/mcp.json or Cursor MCP Settings:

{
  "mcpServers": {
    "linkedin-intelligence-mcp": {
      "command": "node",
      "args": ["C:/Users/FLS/.gemini/antigravity/scratch/linkedin-mcp-server/dist/index.js"]
    }
  }
}

Antigravity Configuration

Add to .gemini/antigravity/mcp_config.json:

{
  "mcpServers": {
    "linkedin-intelligence-mcp": {
      "command": "node",
      "args": ["C:/Users/FLS/.gemini/antigravity/scratch/linkedin-mcp-server/dist/index.js"]
    }
  }
}

📄 License

Licensed under the MIT License.