LinkedIn Prospection MCP
LinkedIn prospection automation - find leads, score (fit+intent+urgency), qualify, personalize messages, run full pipeline, manage sales funnel. 7 MCP tools.
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
Servidores relacionados
Zcash MCP
MCP server for Zcash with 22 tools for shielded transactions, attestation verification, and wallet management
AgentGuard
AI Agent Supply Chain Security - Intercepts and validates every package installation, git clone, and script download triggered by AI coding agents before it executes.
Manifold Markets
Interact with Manifold Markets prediction markets, including market creation, trading, and liquidity management.
Polymarket
An MCP tool for interacting with the Polymarket prediction market platform.
Polar MCP Server
MCP server for Polar AccessLink API to export data from Polar watches.
MCP Media Player
Control a media player via Home Assistant.
CashPilot MCP
Monitor passive income, bandwidth sharing, and DePIN earnings from a self-hosted CashPilot dashboard
Uniswap Trader MCP
Automate token swaps on the Uniswap DEX across multiple blockchains.
responsible-gambling-mcp
MCP server for responsible gambling budget calculator and habit assessment
TengineAI
Run MCP tools in production without managing your own server — built-in retries, permissions, and observability.