HighLevel's MCP server
Updated 2026-09-19
HighLevel publishes an MCP server that lets AI assistants such as Claude read from and act on your account within the permissions you grant, so you can ask an assistant to summarize a pipeline or draft a follow-up from real data. Connect it with access scoped to what you intend, and decide before you start which actions the assistant may take without a person confirming first.
What the server exposes
HighLevel's own documentation names this the LeadConnector MCP server, with a dedicated endpoint for Claude and a separate one for OpenAI-compatible clients, as at September 2026 (source: marketplace.gohighlevel.com, checked September 2026). It exposes four unified tools, listing locations, searching operations, describing an operation, and executing one, covering more than 550 read, create, update and delete operations across 38 domains, including contacts, conversations, opportunities, calendars, payments, products, invoices, workflows, the social planner, forms, funnels, Voice AI, phone systems and knowledge bases. Access uses OAuth, scoped per sub-account: each connection targets one sub-account at a time, though an agency can install the server once and select across multiple sub-accounts as needed.
How access is granted and revoked
Connecting the server means authorizing it through HighLevel's own OAuth flow and choosing which sub-account, and by extension which data, it can reach. Revoking access is a matter of removing that authorization inside HighLevel's own settings, the same way any connected app is disconnected; check the current help article for the exact menu path, since interface details change independently of the underlying API.
The rule before connecting anything
Grant read access first and widen only once you have watched what the assistant actually does with it. Given the range of write operations available, more than 550 across contacts, payments, invoices and workflows, a scope that is too broad on day one can let an assistant take an action, such as sending a message to a contact, without a person in the loop. Set a rule for which actions require a person to confirm before anything is connected, not after something has already gone out.
What this means in practice
With read access, an assistant can summarize where a pipeline stands, draft a follow-up message from a contact's actual history, or answer a question about upcoming appointments, all from live account data rather than a description you type in yourself. Whatever the assistant reads to do this leaves your account and passes through the assistant's own service; treat that the same way you would treat sharing account data with any other connected tool, and review the relevant terms before connecting.
A token is a credential
Whatever token or authorization the MCP connection creates should be handled the way any other account credential is: not pasted into a shared chat, not left in a document that other people can open. This is the highest-risk part of a straightforward integration, and it is a handling discipline, not a HighLevel feature.
Questions people ask
What is the HighLevel MCP server?
An officially published connection, called LeadConnector MCP, that lets AI assistants such as Claude read from and act on a HighLevel account within the access you grant.
Can Claude connect to my HighLevel account?
Yes, through a dedicated Claude endpoint HighLevel publishes for this purpose, authorized per sub-account through OAuth.
What can the AI do once connected?
Within its granted scope, it can read and act across contacts, conversations, opportunities, calendars, payments, invoices, workflows, the social planner, forms, funnels, Voice AI, phone systems and knowledge bases.
Is it safe?
It is as safe as the scope you grant and the credential handling around it. Start with read access, confirm write actions with a person, and treat the connection token as a credential, not a convenience.
Do I need a particular plan?
API access underlies this kind of connection; check plans for what tier includes the API level your intended use requires.