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
Serveurs connexes
Deep Thinker
Advanced cognitive thinking MCP server with DAG-based thought graph, multiple reasoning strategies, metacognition, and self-evaluation.
Hawaii Conditions MCP
Real-time surf, trails, volcano, ocean safety, weather, and restaurants for all Hawaiian islands — built for AI agents.
OPET Fuel Prices
Provides access to current fuel prices from OPET, a Turkish petroleum distribution company.
Cybersecurity Vulnerability Intel MCP
Real-time CVE lookup via NIST NVD 2.0, CISA KEV alerts, EPSS exploitation probability, and MITRE ATT&CK mappings. 7 tools for AI-powered vulnerability assessment.
CryptoAPIs MCP Simulate
MCP server for dry-run EVM transaction simulation via Crypto APIs
Tickory MCP Server
Scheduled scans across all Binance spot and perpetual pairs using CEL rules (RSI, volume, MAs, price action). Runs server-side 24/7, fires webhooks on match, with delivery proof and alert explainability.
Pi-hole
Manage your Pi-hole v6 instance with 55 tools covering DNS blocking, domain management, query analysis, statistics, DHCP, and system administration.
Medigami
Attested healthcare-finance MCP. Scan medical bills, estimate appeal probability, generate state-specific appeal letters, benchmark commercial rates, look up ICD-10/CPT/NPI/DEA. Every response Ed25519-signed so LLMs can cite + verify.
MCP Weather Server
Provides weather-related tools using the US National Weather Service API.
AFL (Australian Football League)
Provides Australian Football League (AFL) data, including games, standings, and team information, from the Squiggle API.