Building a LinkedIn lead qualification workflow with Claude and MCP
Automated LinkedIn outreach with Claude and MCP
A developer built a fully automated lead qualification and outreach workflow using Claude and an MCP server integration. The system processes raw LinkedIn URLs through a single prompt that chains four sequential tasks without requiring manual intervention.
How the workflow functions
The developer used an MCP server integration to give Claude LinkedIn profile read/write access since Claude doesn't natively access LinkedIn. The free tier of this MCP server was sufficient for this setup.
The single prompt executes these four tasks in sequence:
- Extract name, role, company, and industry from each LinkedIn profile
- Score each lead 1-10 based on predefined fit criteria
- Filter leads: scores above 5 trigger connection requests, scores below 5 are skipped
- Draft a follow-up message for when connection requests are accepted
Prompt engineering challenges
The main prompt engineering difficulty was getting Claude to execute tasks sequentially without hallucinating actions it hadn't yet taken. This required several iterations to resolve.
What this workflow replaced
This automated system replaced the manual process of opening LinkedIn profiles one by one, which was described as slow and inconsistent.
📖 Read the full source: r/ClaudeAI
👀 See Also
Solo Developer Builds Outdoor Platform with Claude Code: Lessons on AI-Assisted Product Development
A software engineer with 6 years experience built PathQuest, an outdoor route platform with 12+ data sources, using Claude Code over several months while working full-time. He shares specific workflow details and lessons about managing AI-assisted development.
Building a Managed AI Hosting Platform with Rails 8, Docker, and Traefik
A developer built a managed hosting platform for AI applications using Rails 8 monolith, PostgreSQL, and Hetzner Cloud API, gaining 50 paying customers in two weeks. The technical deep-dive covers Docker configuration issues, SSE streaming through Traefik, and handling crashed customer instances.
OpenClaw Reference Setup: 6-Week Production Use Case with Security Architecture
An industrial engineer built a personal AI agent on a Mac Mini M4 that handles morning briefings, invoice scanning, voice transcription, and file sync with a custom security system. The setup includes Claude Sonnet, MiniMax, and Qwen local models, runs 12 cron jobs daily, and costs $30-50/month.
Inside the $20.8K MRR Feature: 60 Prompts Over 14 Months on Claude
A tutoring platform built a session summary feature with Claude in 3 hours, then refined the prompt 60+ times over 14 months. The feature drives 22% of parent conversions and contributes to $20.8K MRR.