Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.generect.com/llms.txt

Use this file to discover all available pages before exploring further.

Who it’s for SDRs and sales reps preparing cold outreach. Marketing teams running email campaigns. Recruiters who need direct contact with candidates. Anyone who knows a person’s name and company but doesn’t have their email. Problem You know who you want to reach out to, but you don’t have their email. Manually searching for contacts is time-consuming, and guessing email formats is unreliable. Invalid emails lead to high bounce rates and damage your domain reputation. What Generect enables Through MCP, an AI agent generates the most likely email address based on company-specific patterns. Generect analyzes email formats within the organization and returns a predicted address — ready for verification and outreach. How it works
  1. The user submits a request: “Generate a professional email address for Olivia Brown from Stripe”
  2. The AI sends the name and company via MCP to the Generect API
  3. Generect analyzes company email patterns (e.g. first.last@, f.last@, etc.)
  4. Returns the most likely email address
  5. Optionally, the email can be verified before use
Input data
  • Full name of the contact (e.g. “Olivia Brown”)
  • Company name or domain (e.g. “Stripe” or “stripe.com”)
Outcome
  • Email generated based on real company patterns
  • Ready for verification and cold outreach
  • Lower bounce rates compared to manual guessing
  • Scalable — generate emails for hundreds of contacts in minutes