GTM Teams Need One Connected Workflow

GTM is still split across too many tools.

One tool for leads.
Another for mailboxes.
Another for warmup.
Another for sequences.
Then replies still need people to sort through them.

That slows everything down.

Forge MCP changes that

Forge MCP lets AI assistants connect with the full Forge stack.

That means prospecting, infrastructure, warmup, and sequencing do not have to stay scattered across different systems.

Here is what sits inside that stack:

Salesforge
Workspaces, contacts, sequences, mailboxes, sender profiles, enrollments, webhooks, email validation, DNC lists

Mailforge
Workspaces, domains, mailboxes, DNS, domain availability, credits

Primeforge
Workspaces, domains, mailboxes, DNS management, prewarmed mailboxes

Infraforge
Workspaces, domains, mailboxes, DNS, domain availability, credits

Warmforge
Mailboxes, warmup stats, placement tests

Leadsforge
Contact search, email, phone, LinkedIn enrichment, and lookalike search

This is what makes the update important.

It is AI connected to the actual GTM flow, from lead sourcing to mailbox setup to warmup to sequencing across email and LinkedIn.

I’m showing this live on April 2

If you want to see what Forge MCP looks like in a real setup, I’m hosting a live session with Hlib Storchak.

And once campaigns go live, replies start coming in

Once campaigns go live, the next problem is handling replies.

Salesforge now gives teams two ways to handle them on the human path for multichannel sequences.

Co-pilot
AI suggests replies, and a human reviews before anything is sent.

Auto-pilot
AI handles replies automatically.

It will not reply to:

• Bounces

• Out-of-office replies

• Negative replies

That matters, because speed means nothing if AI replies where it should not.

Get that part right, and outbound becomes a lot easier to scale.

People using Salesforge are already building predictable outbound pipeline with it.