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Linkedin Prospection Mcp

Linkedin Prospection Mcp

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github.com/gomessoaresemmanuel-cpuBusiness & Marketing0Updated 31w ago

About Linkedin Prospection Mcp

Linkedin Prospection Mcp is an MCP server for automating LinkedIn lead prospecting in sales workflows. It searches and scores leads, qualifies them, personalizes outreach, and manages the pipeline using fit, intent, and urgency criteria.

Key features

  1. 01Search LinkedIn for leads
  2. 02Score leads on three criteria
  3. 03Batch-qualify and prioritize leads
  4. 04Generate personalized invitations and DMs
  5. 05Run and manage the prospection pipeline

Use cases

  1. 01Find leads based on burnout or stress signals
  2. 02Rank batches of leads for follow-up
  3. 03Draft personalized invitations and DM sequences
  4. 04Review daily logs and lead statuses

MCP support

The MCP server provides tools for lead search, scoring, qualification, personalized messaging, and pipeline management. It also exposes lead and daily-log resources, plus a daily prospection prompt.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

ToolDescription
find_leadsSearch LinkedIn for leads matching burnout/stress signals
score_leadScore a single lead (fit 0-30 + intent 0-40 + urgency 0-30 = /100)
qualify_leadsBatch qualify leads with P1-P4 priority classification
personalize_messageGenerate personalized invitation notes and DM sequences
run_pipelineRun the full daily prospection pipeline
get_pipeline_statusGet current pipeline status and daily log
manage_leadUpdate lead status in the pipeline

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

VariableDescriptionDefault
PROSPECTION_DIRPath to prospection scripts directory./lib/prospection

License

MIT

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