> ## 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.

# Email Generation

**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