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
| Tool | Description |
|---|---|
find_leads |
Search LinkedIn for leads matching burnout/stress signals |
score_lead |
Score a single lead (fit 0-30 + intent 0-40 + urgency 0-30 = /100) |
qualify_leads |
Batch qualify leads with P1-P4 priority classification |
personalize_message |
Generate personalized invitation notes and DM sequences |
run_pipeline |
Run the full daily prospection pipeline |
get_pipeline_status |
Get current pipeline status and daily log |
manage_lead |
Update lead status in the pipeline |
Resources
linkedin-prospection://daily-log— Today's prospection loglinkedin-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
| Variable | Description | Default |
|---|---|---|
PROSPECTION_DIR |
Path to prospection scripts directory | ./lib/prospection |
License
MIT
