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.

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.

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.

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.

Get a list of campaigns, and get its detailed stats (sends, opens, clicks, etc...)

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.

Retrieve a list of all Workflows in the location

Call transcripts are visible in the HighLevel web UI, but they are not exposed by the official HighLevel MCP server. The REST API already has dedicated endpoints: •  GET /conversations/locations/:locationId/messages/:messageId/transcription •  Get Recording by Message ID •  Download transcription by Message ID The official MCP server ( https://services.leadconnectorhq.com/mcp/ ) currently includes 36 tools and covers conversations, but it does not provide any tool that wraps these transcription or recording endpoints. As a result, AI agents connected via MCP cannot retrieve call transcript text or recordings, even though the data exists in the account. I need MCP tools that: • Return the full transcript text for a given message ID • Return the recording URL/file for a given message ID • Optionally download the transcript file This is a high-impact feature for Voice AI, call automation, compliance, and knowledge-base workflows. Please add MCP tools for: •  get_message_transcription(messageId, locationId) •  get_message_recording(messageId, locationId) •  download_transcription(messageId, locationId)

Ability to get a list of all Smart Lists and its details. Use Case: I'm preparing an email to be sent, I want to choose which smart list to send the email to, so that can then be passed on to a tool that schedules the send of the actual email campaign.

Many businesses and agencies use LeadConnector as the underlying platform for GoHighLevel and custom white-labeled CRM instances. Native LeadConnector support would allow users to connect contacts, opportunities, custom fields, workflows, SMS, and email automation directly within Manus without requiring custom API integrations. This integration would make Manus much more useful for agencies and businesses operating in the GoHighLevel/LeadConnector ecosystem. Thank you for considering this feature request.