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 LlamaIndex 10 tools — connect in under 2 minutes

Name: GoHighLevel
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GoHighLevel as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to GoHighLevel. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in GoHighLevel?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine GoHighLevel tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from GoHighLevel

Why Use LlamaIndex with the GoHighLevel MCP Server

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

Data-first architecture: LlamaIndex agents combine GoHighLevel tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain GoHighLevel tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query GoHighLevel, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what GoHighLevel tools were called, what data was returned, and how it influenced the final answer

GoHighLevel + LlamaIndex Use Cases

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

Hybrid search: combine GoHighLevel real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query GoHighLevel to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GoHighLevel for fresh data

Analytical workflows: chain GoHighLevel queries with LlamaIndex's data connectors to build multi-source analytical reports

GoHighLevel MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect GoHighLevel to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

GoHighLevel + LlamaIndex FAQ

Common questions about integrating GoHighLevel MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query GoHighLevel tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.