How do I get my GoHighLevel API key?

Log in to your GoHighLevel sub-account. Click **Settings** (bottom left corner). Navigate to **Business Profile**. Scroll down to the **API Key** section — your key will be displayed there, or click **Generate Key** if one hasn't been created. Copy the key and paste it below. Note: In newer accounts, you may see a **Private Integration** option instead — create one and use the generated token.

Can I manage multiple client accounts from one agent?

Yes. Each GoHighLevel sub-account has its own API key. Configure separate integrations for each client account and your AI agent can switch between them — managing contacts, deals, and campaigns across your entire agency portfolio.

Can my AI agent move deals through pipeline stages?

Yes. Your agent can list all pipeline stages, view deals in each stage, update deal values, and move opportunities between stages — giving your sales team a conversational way to manage their entire sales process.

Does this work with GoHighLevel's white-label versions?

Yes. The API is the same regardless of whether you use GoHighLevel directly or through a white-label reseller. The API key from your sub-account works identically across all branded versions of the platform.

GoHighLevel MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: GoHighLevel
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GoHighLevel through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "gohighlevel": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using GoHighLevel, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GoHighLevel MCP Server

Connect GoHighLevel to your AI agent and manage your all-in-one marketing and CRM platform conversationally.

LangChain's ecosystem of 500+ components combines seamlessly with GoHighLevel through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Contact Management — Search, create, and update contacts with custom fields, tags, and notes.
Pipeline Tracking — List pipeline stages, move opportunities, and track deal values across your sales funnels.
Campaign Analytics — Query email and SMS campaign performance, open rates, and click-through metrics.
Calendar & Appointments — List upcoming appointments, check availability, and manage booking calendars.

The GoHighLevel MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GoHighLevel to LangChain via MCP

Follow these steps to integrate the GoHighLevel MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from GoHighLevel via MCP

Why Use LangChain with the GoHighLevel MCP Server

LangChain provides unique advantages when paired with GoHighLevel through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine GoHighLevel MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across GoHighLevel queries for multi-turn workflows

GoHighLevel + LangChain Use Cases

Practical scenarios where LangChain combined with the GoHighLevel MCP Server delivers measurable value.

RAG with live data: combine GoHighLevel tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query GoHighLevel, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain GoHighLevel tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every GoHighLevel tool call, measure latency, and optimize your agent's performance

GoHighLevel MCP Tools for LangChain (10)

These 10 tools become available when you connect GoHighLevel to LangChain via MCP:

create_contact

Create a new contact

get_contact

Get contact details

list_calendars

List booking calendars

list_campaigns

List drip campaigns

list_contacts

List all CRM contacts

list_conversations

List recent conversations

list_forms

List lead capture forms

list_opportunities

List pipeline opportunities

list_pipelines

List sales pipelines

send_message

Send an SMS/email to a contact

Example Prompts for GoHighLevel in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with GoHighLevel immediately.

"Search for the contact 'John Smith' in my CRM."

"How many deals are in the 'Proposal' stage right now?"

"What are my upcoming appointments today?"

Troubleshooting GoHighLevel MCP Server with LangChain

Common issues when connecting GoHighLevel to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GoHighLevel + LangChain FAQ

Common questions about integrating GoHighLevel MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.