Highlevel MCP

GHL MCP API — Critical Gaps Preventing Full AI Automation
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.
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Add MCP read tools for configuration objects (workflows, calendars, forms, products, settings)
The MCP server exposes RECORDS well and CONFIGURATION poorly. Contacts, opportunities, conversations and transactions are all readable. The objects that define how a sub-account actually behaves mostly are not. There is no way to list a workflow, a form, a calendar, a product, a tag, or a user. That blocks anything needing to know how an account is set up rather than what is in it: auditing, documentation, migration, agency-side QA, or handing a sub-account to a new operator. Below is the full set of reads that are missing, grouped by area. Some may already exist in the public REST API; where they do, exposing them through MCP should be a wrapper change rather than new engineering. AUTOMATION AND MESSAGING Nothing in this area is reachable today. This is the largest gap. workflows_get-workflows — list: id, name, status, folder, created, updated workflows_get-workflow — full definition, see the note below triggers_get-triggers — legacy Triggers, the pre-Workflows system campaigns_get-campaigns — legacy Campaigns, with status emails_get-templates — template list; emails_fetch-template already exists but requires an id nothing returns sms_get-templates — template list with message body trigger-links_get-trigger-links — name, destination URL, id ai_get-agents — Conversation AI and Voice AI agents: instruction set, channels, escalation rules, status reputation_get-review-requests — review request automations: trigger, template, platform pushed to Note on workflows_get-workflow: please return action parameters, not just action types. A response listing only "SendEmail, AddTag, UpdateField" is not enough to understand a workflow. To be useful it needs, per action, the thing that action is configured to act on: the tag it adds or removes, the email or SMS template it sends, the custom field or custom value it writes and the value written, the pipeline and stage it moves an opportunity to, the webhook URL it calls, the other workflow it starts or stops, and the media asset it attaches. Branch conditions need their operands for the same reason. Which tag or field a branch tests on is how you learn what a workflow READS, as opposed to what it writes. With that included, "which workflows use this tag, field or template?" becomes answerable client-side. Without it, that stays unanswerable even with everything else on this list implemented. Legacy Triggers and Campaigns matter more than they may appear. Both are enabled by default on every sub-account we looked at, and either can hold live automation that is completely invisible from the Workflows list. FORMS, SURVEYS AND CALENDARS forms_get-forms — list: id, name, folder forms_get-form — field schema, field types, custom-field mapping, conditional logic, submission behavior surveys_get-surveys — as above, for surveys surveys_get-survey calendars_get-calendars — list: id, name, type, group, assigned users, status calendars_get-calendar — duration, buffers, availability rules, attached form, confirmation behavior, booking URL, notification settings calendars_get-calendar-groups — group id and name calendars_get-calendar-events already exists, but it requires a calendarId, userId or groupId, and nothing in the MCP surface returns any of those. It cannot be called without obtaining an id from outside MCP first. The event payload also never contains the calendar's name, so even working backwards from events does not identify which calendar you are looking at. COMMERCE products_get-products — name, type, price, billing interval, trial, connected processor, where sold from, status products_get-prices — price points per product coupons_get-coupons — code, discount, validity window, applicable products, status memberships_get-offerings — courses, memberships and communities: structure, modules, lesson titles, drip schedule memberships_get-access-rules — what grants access and what revokes it invoices_get-templates — invoice templates and tax collection settings affiliates_get-campaigns — Affiliate Manager: campaigns, commission structure, payout settings documents_get-documents — document and contract templates, signature settings payments_list-transactions exists, so a partial catalog can be reconstructed from what has sold. That cannot show a product configured but never sold, cannot show list price where a discount was applied, and cannot show a coupon at all. SUB-ACCOUNT SETTINGS locations_get-custom-values — custom values (global variables): name, value, id locations_get-tags — tag list WITH contact counts; today the only way to enumerate tags is sampling contact records, which cannot find a tag applied to zero contacts, exactly the tag worth finding locations_get-smart-lists — saved segments with their filter logic locations_get-custom-field-folders — folder id and name; locations_get-custom-fields returns parentId but nothing resolves it to a name locations_get-plan — plan tier and business hours, both absent from locations_get-location users_get-users — name, email, role, permissions, which locations each can reach, status reports_get-dashboards — custom dashboards and reports INTEGRATIONS integrations_get-connections — connected services per location: payment processor, email provider, phone provider, per-user calendar syncs, marketplace apps integrations_get-private-tokens — private integration tokens with scopes and creation date webhooks_get-webhooks — outbound webhook destinations and triggers phone_get-numbers — numbers attached, provider, A2P registration status phone_get-call-routing — IVR menu options, routing targets, business-hours and after-hours behavior, voicemail email_get-sending-config — sending domain, provider, authentication status The token inventory matters more than its position suggests. An unattributed live API token is a security finding, and there is currently no programmatic way for an account owner to enumerate their own tokens. PUBLIC SURFACES funnels_get-funnels — funnel and website list: name, type, serving domain, status funnels_get-pages — page list with URLs, and the forms and calendars embedded on each funnels_get-tracking-code — injected scripts, with site-level versus page-level scope portal_get-config — client portal: enabled, domain, what it exposes, authentication, how access is granted or revoked media_get-files — media library listing CUSTOM OBJECTS custom-objects_get-objects — the object itself: name, description, what it links to Today only a custom object's FIELDS are readable, via locations_get-custom-fields, with no way to learn what the object is or what it relates to. GAPS INSIDE EXISTING TOOLS These are missing data rather than missing tools. locations_get-custom-fields returns picklistOptions for contact and opportunity fields, but omits the property entirely for custom_objects.* fields, including single-select fields that clearly have options in the UI. Those option lists are unreachable. locations_get-location returns no plan tier and no business hours. emails_fetch-template requires an id, and no tool returns one. calendars_get-calendar-events requires an id, and no tool returns one. ADD A fields PARAMETER Every read returns the whole object; there is no projection. Reading TAG NAMES means pulling full contact records. Reading WHICH PAYMENT PROCESSOR IS CONNECTED means pulling full transaction records, which also return contact name, email address, IP address, card brand, last four digits and billing postal code. A fields= parameter on list endpoints, taking a comma-separated projection, would cut response sizes by an order of magnitude and stop configuration queries returning cardholder data as a side effect. That second point makes the MCP server considerably easier to adopt in any regulated context.
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Full Workflow Lifecycle (Create, Read, Update, Execute & Autonomous Outcome Resolution)
Right now, the HighLevel MCP server exposes operational data well, but falls short on configuration objects—specifically Workflows. To unlock true agentic workflows, an AI (via Claude Code, Cursor, or local agents) shouldn't just read lead status—it should be able to audit, construct, modify, and execute entire workflow engines based on desired outcomes. The Problem Currently, building or updating complex automation requires manual click-and-drag in the builder or writing static setup scripts. The AI knows what outcome needs to happen (e.g., "Set up a 3-touch follow-up for abandoned calls, tag as Cold Lead after 48h, and notify assigned user"), but it lacks the tool definitions in MCP to build or alter the workflow logic itself. Key Capabilities Requested Full CRUD for Workflows via MCP: Create: Ability to programmatically instantiate workflows via structured JSON schema (triggers, actions, branching logic, delays, conditional paths). Read/Inspect: Parse existing workflow structures, check active triggers, and map out node connections for AI code/logic audits. Update/Modify: Dynamically append nodes, update email copy, adjust time delays, or modify branch logic programmatically. Analyze/Debug: Expose logs and execution paths so an AI agent can diagnose why a workflow stalled or where a lead dropped off. Outcome-Driven Execution ("Goal-Based Engine"): Allow AI agents to operate on target states rather than manual step-by-step assembly. Example: Feed the MCP a target goal (Outcome: Re-engage leads inactive for 30+ days using SMS + Email), and allow the AI agent to draft, validate schema, and publish the complete workflow directly to the sub-account. Snapshot & JSON Export/Import Tooling: Enable MCP tools to read workflow templates from JSON, convert existing sub-account workflows into portable JSON objects, and push validated schemas seamlessly. Impact This turns the HighLevel MCP from a basic data query interface into an autonomous agency co-pilot—allowing developers and agency owners to automate client onboarding, build custom snapshot tools, and let AI maintain workflow architecture automatically.
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Expand GHL MCP so AI can safely build, audit, optimize, and manage more of the platform
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.
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MCP Server: Expose contact/opportunity create-note + create-opportunity endpoints
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.
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