In simple English
This tool connects the Claude assistant to your LinkedIn prospecting workflow. It fetches public profile and post data through a scraping service and stores it in a local database on your computer. Claude uses this information to research leads, write messages, and track your replies. It also learns from your past outcomes to improve future drafts over time. You need an account with a data-scraping service to pull fresh LinkedIn information.
What it is
A Model Context Protocol (MCP) server with eighteen backend tools and eight helper skills for Claude. It organises prospect intelligence, logs your outreach history in a local SQLite database, and manages a local memory folder.
What it is good for
Solo founders and sales builders who want to research LinkedIn leads and draft personalized outreach inside Claude without paying for a heavy CRM.
- Keeps all your prospect data and outreach history in a private SQLite database on your machine.
- Chains eight conversational skills to handle research, drafting, and outcome logging.
- Learns from your reply rates to refine your writing style and strategy playbook over time.
- Requires an external Apify account and paid token to fetch fresh LinkedIn profile and post data.
- Automated data collection from LinkedIn may conflict with their terms of service if volume is too high.
- Setup requires configuring environment variables and using the uv package runner.
manual LinkedIn prospecting and generic cold outreach templates
Claude Code
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curl -LsSf https://astral.sh/uv/install.sh | sh mkdir -p ~/.insaight && echo "APIFY_API_TOKEN=apify_api_your_token_here" >> ~/.insaight/.env