would love to see GHL expand MCP beyond basic data retrieval and simple CRM actions.

The real opportunity is for MCP to help users safely build, document, optimize, and manage more of the GHL ecosystem from tools like Claude, Codex, and other AI workspaces.

GHL is already an all-in-one platform. Expanded MCP access could make it feel like a true AI-powered business operating system.

Here are the biggest features I’d love to see:

It would be amazing if MCP could create, edit, duplicate, and publish funnels and landing pages.

For example, AI could help us create new funnels, update page copy, edit buttons and links, connect forms and offers, update SEO settings, save pages as drafts, and compare versions before publishing.

This would help users go from strategy to implementation much faster.

This is one of the biggest needs.

I would love for MCP to be able to see all workflows/automations and every step inside each one.

Many GHL users have accounts with years of automations built up over time. It can be hard to know what’s active, outdated, duplicated, or causing problems.

AI could help us find broken logic, identify duplicate automations, spot missing tags or triggers, clean up old workflows, simplify customer journeys, document what each workflow does, and optimize workflows for better results.

At the very least, it would be incredibly helpful to have a CSV export that shows all workflows and the steps inside each one.

Beyond viewing workflows, it would be amazing if MCP could safely create and edit workflows.

For example: create new workflows, duplicate existing workflows, edit triggers, edit conditions, edit actions, enable/disable workflows, and validate workflow logic before publishing.

This would be huge for agencies, teams, and business owners managing complex automation systems.

I’m also hoping GHL adds MCP functionality for email, similar to what Kit has started doing.

It would be incredibly useful if AI could help create email campaigns, edit templates, schedule broadcasts, build automated sequences, pull performance stats, recommend subject line tests, organize old templates, and identify low-performing emails.

For people using GHL as their email platform, this would be a major upgrade.

We use GHL to manage a community, and I would love to see MCP support community features too.

For example, AI could help schedule community posts, respond to comments, summarize community activity, identify unanswered posts, pull common questions, create calendar events, draft engagement prompts, and manage recurring community content.

This would make the community feature much more powerful for businesses trying to create engagement at scale.

It would be extremely helpful if MCP could search across the whole account.

For example:

Where is this old offer mentioned?

Which workflows use this tag?

Which emails mention this checkout link?

Which funnels connect to this form?

Where is this product currently being sold?

This would save a massive amount of time and reduce errors when updating offers, links, branding, or customer journeys.

AI would be much more useful if it could analyze performance data inside GHL.

I’d love MCP access for funnel conversion rates, email open/click rates, workflow performance, appointment show rates, product sales, attribution data, lead source performance, failed payments, and community engagement.

Then users could ask AI where a funnel is leaking, which emails need improvement, or which lead sources are actually converting.

To make these features practical, we’d also need strong safety controls:

* read-only mode

* draft-only mode

* approval before publishing

* approval before sending emails

* approval before deleting anything

* tool-level permissions

* subaccount-level permissions

* audit logs of AI actions

* rollback options for AI-made changes

The big picture:

GHL MCP should not just help AI retrieve data.

It should help AI safely build, audit, optimize, document, and operate the entire GHL ecosystem.

This would save business owners and teams so much time, make messy accounts easier to manage, help agencies scale implementation, and truly set GHL apart from other platforms.