How to Use the GoHighLevel MCP in CrewAI

Deploy specialized agent teams to manage your GoHighLevel pipelines and messages autonomously using CrewAI.

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Connect GoHighLevel MCP to CrewAI

Create your Vinkius account to connect GoHighLevel to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GoHighLevel with CrewAI

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Run multi-agent CRM operations with CrewAI

The `list_contacts` tool allows your research agent to scan your CRM database and pass lead profiles to your copywriter agent. CrewAI coordinates these specialized agents, allowing them to share context and collaborate on follow-up tasks without human intervention. This MCP Server connection gives your entire crew access to the same GoHighLevel data source. While one agent analyzes pipeline health using `list_pipelines`, another updates specific deal values using `list_opportunities`.

Autonomous lead triaging and calendar booking

The `list_calendars` tool provides your booking agent with real-time availability to schedule discovery calls with incoming leads. Your agent reads active calendars, matches them against lead preferences, and updates the contact record. New leads captured via `list_forms` are instantly routed to the correct agent for qualification. This setup eliminates manual data entry. It's how you move leads from initial form submission to booked meetings automatically.

Automated conversation auditing and follow-ups

The `list_conversations` tool lets your quality assurance agent monitor recent interactions for customer satisfaction signals. If a customer expresses frustration, the agent triggers an immediate alert or drafts a response. Your support agent can then use `send_message` to dispatch a personalized resolution directly to the customer's phone or inbox. Every interaction is logged back into the CRM, keeping your human sales reps fully informed.

Setup guide

Set up GoHighLevel MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke GoHighLevel tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="GoHighLevel Analyst",
    goal="Access and analyze GoHighLevel data via MCP.",
    backstory="Expert analyst with direct GoHighLevel access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent GoHighLevel transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="GoHighLevel Analyst",
        goal="Access and analyze GoHighLevel data via MCP.",
        backstory="Expert analyst with direct GoHighLevel access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GoHighLevel transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoHighLevel. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GoHighLevel MCP in CrewAI

Pass your Vinkius MCP connection URL directly into the agent's `mcps` parameter during initialization. CrewAI automatically discovers all 10 tools, including `create_contact` and `list_campaigns`, making them available for agent execution.

Yes. CrewAI agents share the server connection. One agent can query `list_pipelines` while another updates contacts using `create_contact`, with Vinkius handling the parallel API requests securely.

CrewAI uses sequential or hierarchical execution. You can assign a manager agent to coordinate tasks, ensuring `list_contacts` runs first to gather data before another agent triggers `send_message`.

No. Vinkius handles the underlying authentication and token management. Your Python code only needs to reference the secure MCP endpoint, keeping your API credentials out of your codebase.

This MCP Server processes your CRM contacts, calendar bookings, and messages strictly in memory. No data is cached or stored on Vinkius, and all communication between CrewAI and GoHighLevel is encrypted in transit.

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