Inbound is a production-grade lead generation system built with the MCP Python SDK, Crawl4AI, and AsyncIO for high-concurrency operations. It implements a full lead lifecycle from discovery to enrichment, featuring UUID-based lead tracking, multi-source data aggregation, smart caching strategies, and enterprise-grade error handling. It allows users to generate and enrich leads from sources like Google CSE, LinkedIn, Hunter.io, and Clearbit with features such as data caching, rate limiting and asynchronous task management.
Características Principales
01UUID-based lead tracking
02Smart caching strategies with Redis
03Real-time monitoring with Prometheus metrics
044 GitHub stars
05Lead generation via Google CSE and Crawl4AI
06Data enrichment using Hunter.io, Clearbit, and LinkedIn scraping