Highlevel MCP

I've been building AI-powered client systems on GoHighLevel for two years and I'm a strong advocate for the platform. I recently integrated Claude AI via your MCP server and the potential is genuinely game-changing — but the current MCP implementation has critical gaps that are preventing true AI-powered automation of GHL. Here's what's missing that would unlock full AI-driven system building: Pipeline creation and stage management via API Workflow/automation builder access — create triggers, actions, and full workflows Funnel and page builder write access Custom field and folder creation with full picklist support Tag creation and management Email template creation and sequence building Snapshot creation and deployment Sub-account creation and configuration Form and survey builder access Right now I can read CRM data via MCP but I have to manually build pipelines, automations, funnels, and templates by hand or resort to raw Terminal API scripts. The vision of an AI agent that can build an entire client system end-to-end — pipelines, workflows, funnels, automations, all of it — is completely achievable on your platform, but only if these write endpoints are exposed in the MCP. Your roadmap mentions expanding to 250+ tools. I'd strongly urge you to prioritize the workflow builder and pipeline creation endpoints first — those two alone would transform how agencies deliver client work on GHL. The agencies that figure this out first will have an insurmountable competitive advantage. GHL has the opportunity to be the platform that makes that possible. I'd love to connect and share more about what we're building at LeadVortex AI.

We need the ability to create, read, update, delete, search, and list every single object in the GHL so that we can have the AI agents work optimally. Right now its very limited.

Agent ready HighLevel MCP for Codex, Claude, ChatGPT, and other AI builders Details HighLevel should release an official agent ready MCP that lets tools like Codex, Claude, ChatGPT, Cursor, and local AI agents safely connect to sub accounts and build inside HighLevel. The MVP should cover the core actions agencies need every day: Read, create, update, and search contacts Read, create, update, and search opportunities Read and send conversations Read and create calendar appointments Read and update custom fields Read and trigger workflows Read locations and sub account settings Access forms, funnels, websites, calendars, pipelines, tags, users, and snapshots Use strict permissions so agents only touch the connected location Include clear docs, examples, sandbox mode, and audit logs This would let agencies build client systems faster, troubleshoot accounts, create workflows, set up AI employees, and manage sub accounts without relying on fragile browser automation. The big win is simple: HighLevel becomes the operating system AI agents can actually build on.

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: Funnel and landing page access 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. Full workflow visibility and export 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. Workflow creation and editing 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. Email campaign and template management 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. Community management features 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. Account-wide asset search 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. Reporting and analytics access 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. Safer AI permission controls 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.

We need a MCP tool for being able to manage all the tags on the system. In particular list all of them. Use case: Before adding a new tag, check all available tags to see if there is a suitable one to add, rather than create a new tag. Ultimately when it comes to tags we should be able to Create Tag Rename Tag Get List of All Tags Delete Tag via MCP as well as add/remove tags to a contact.

Retrieve a list of all Workflows in the location

The HighLevel MCP server is a great addition for AI workflows, but its current tool surface is missing several endpoints that already exist in HighLevel's REST API. This forces customers like me into clunky hybrid workflows (driving the browser via screenshots) instead of letting the AI complete the work end-to-end. Specifically, the following REST endpoints exist in HighLevel today but are NOT exposed as tools in the MCP server: • POST /contacts/{contactId}/notes (create a note on a contact) • POST /opportunities/{id}/notes (create a note on an opportunity) • POST /opportunities/ (create a new opportunity) • POST /contacts/{contactId}/tasks (create a task) Use case — direct mail land business: I run a direct-mail acquisition business. When a new lead row is finalized in my Google Sheet, I want my AI assistant to automatically: 1. Create a HighLevel contact (works today via MCP — great). 2. Create an opportunity in my Direct Mail pipeline (NOT POSSIBLE via MCP). 3. Add a structured intake note + any prior Quo call summary (NOT POSSIBLE via MCP). Steps 2 and 3 currently require either driving the GHL UI through a browser-automation extension (slow, ~10–15 minutes per lead, fragile, very expensive in API tokens) or manual copy-paste by a human. If those four endpoints were exposed in the MCP server, the whole flow would collapse to ~5 seconds per lead and would unlock the same automation for every land/real-estate/service-business agency on the platform that uses the MCP integration with Claude or any other model. Notes-on-contacts in particular is the single most-missed primitive — almost every CRM workflow that touches a record wants to attach context to it. Update-opportunity and update-contact already work via MCP, so the authentication/permission model is clearly there. Just needs the writeable note + opportunity creation endpoints surfaced as tools. Thanks for considering — this would be a meaningful unlock for everyone running AI-assisted CRM workflows on HighLevel.

Having one MCP (Multi-Channel Platform or Multi-Connection Point) that connects to thousands of apps—similar to Rube.app —would be an extremely powerful addition to Go High Level (GHL) for several reasons: 🚀 1. Instant Expansion of GHL’s Ecosystem Right now, GHL’s integrations are growing but still limited compared to tools like Zapier or Make. If GHL built or partnered with an MCP like Rube.app , it would instantly give users access to thousands of integrations—CRMs, HR tools, payment processors, LMSs, analytics platforms, etc.—without waiting for native builds. ✅ Why it’s a big deal: Makes GHL a universal operations hub. Removes friction for users who need niche integrations. Reduces churn from users who leave due to missing integrations. ⚙️ 2. Simplifies Workflow Automation Instead of needing Zapier, Pabbly, or Make, users could automate everything inside GHL through this MCP connection. ✅ Impact: Reduces costs for users (no more third-party automation tools). Keeps automations centralized within GHL’s ecosystem. Increases stickiness and platform dependency. 🧩 3. Creates a Developer Ecosystem An MCP layer can allow developers to publish app connectors to the GHL marketplace, just like how Shopify or Notion do. This turns GHL from a software product into a platform economy. ✅ Benefits: Expands GHL’s marketplace exponentially. Encourages innovation by third-party developers. Generates new revenue streams for GHL (revenue share from apps). 💡 4. Unlocks Custom Use Cases for Every Industry For example, education clients could connect to: Google Classroom Canvas or Thinkific Zoom / Meet Payroll & HR software Student management tools Meanwhile, real estate users could plug in MLS tools, while fitness coaches could integrate Trainerize or MyFitnessPal. ✅ Outcome: GHL becomes industry-agnostic, serving every vertical with tailored automations. 🛡️ 5. Future-Proofs the Platform AI and automation are moving fast—new apps appear monthly. Instead of GHL constantly building native integrations, the MCP acts as a universal adapter, ensuring GHL always stays compatible with the modern tool stack. ✅ Strategic value: Keeps GHL competitive with HubSpot, ClickFunnels, and Zapier. Protects against obsolescence. Makes GHL a long-term operations hub for businesses. 💰 6. Monetization & Retention Boost GHL could monetize API calls or “integration packs.” More integrations = deeper embedding in user workflows = lower churn. Agencies could upsell custom automations built through the MCP. 🧠 TL;DR — Why It’s a Great Idea One MCP that connects GHL to thousands of apps turns it into the “operating system for businesses.” No need for Zapier. No need for Make. Just one ecosystem where everything connects, automates, and scales.

The current GHL Public API and official MCP server expose read-only workflow endpoints (GET /workflows/, POST /workflows/{id}/contacts/{contactId}). There is no way to programmatically: - Create a workflow (POST /workflows/) — returns 404 - Update workflow definition (triggers, conditions, actions) — no endpoint - Bulk-deploy workflows across multiple subaccounts without manual UI clicks or snapshot juggling This forces agencies and SaaS resellers into one of three suboptimal paths: 1. Manual rebuilding per subaccount (does not scale) 2. Snapshot import (works, but requires UI export + import flow per account, and snapshots drift when underlying IDs change) 3. Browser automation (brittle, breaks on UI updates)