LinkedIn Prospection MCP

MCP server for LinkedIn prospection automation — find leads, score (fit+intent+urgency), qualify, personalize messages, run full pipeline, manage sales funnel.

Installation

npx linkedin-prospection-mcp

Or install globally:

npm install -g linkedin-prospection-mcp

Configuration

Claude Desktop

Add to `claude_desktop_config.json`:

{
  "mcpServers": {
    "linkedin-prospection": {
      "command": "npx",
      "args": ["-y", "linkedin-prospection-mcp"],
      "env": {
        "PROSPECTION_DIR": "/path/to/your/prospection/scripts"
      }
    }
  }
}

Claude Code

Add to `.claude/settings.json`:

{
  "mcpServers": {
    "linkedin-prospection": {
      "command": "npx",
      "args": ["-y", "linkedin-prospection-mcp"],
      "env": {
        "PROSPECTION_DIR": "/path/to/your/prospection/scripts"
      }
    }
  }
}

Tools

Resources

• `linkedin-prospection://daily-log` — Today's prospection log
• `linkedin-prospection://leads` — All discovered leads

Prompts

• `daily_prospection` — Guided daily prospection workflow (full or quick mode)

Scoring Engine

Leads are scored on three axes:

• Fit (0-30): Role match, industry risk, seniority
• Intent (0-40): Burnout keywords, stress signals, help-seeking language
• Urgency (0-30): Recency, crisis indicators, explicit requests

Priority classification:

• P1-hot (70+): Immediate outreach
• P2-warm (50-69): Nurture sequence
• P3-nurture (30-49): Long-term follow-up
• P4-cold (<30): Archive

Environment Variables

License

MIT