How to Use the HighLevel MCP in CrewAI

Q: Can a CrewAI agent book HighLevel appointments?

Yes, by using the createappointment tool. You can set up one agent to find a time and another to confirm the meeting.

Q: Does the HighLevel MCP Server support CrewAI memory?

Yes. Agents share the results from tools like searchopportunities to maintain context during the entire session.

Q: How do I restrict HighLevel tools in CrewAI?

Use the toolfilter parameter in your configuration. This limits your agents to only the tools necessary for their specific role.

Deploy a specialized CrewAI team to manage HighLevel. Let agents handle your CRM outreach while you focus on closing deals.

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Connect HighLevel MCP to CrewAI

Create your Vinkius account to connect HighLevel 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 HighLevel with CrewAI

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Perplexity

Collaborative CRM agents for CrewAI

Assign a researcher agent to use `search_contacts` and `get_contact_details`. A separate action agent then uses `create_contact_task` to follow up. This role-based setup keeps your CRM clean. Agents only perform the tasks they are specialized to handle.

Autonomous HighLevel booking teams

Configure your crew to poll `list_calendars` and `get_calendar_free_slots`. One agent identifies the slot, and another performs the `create_appointment` call. It removes the need for human scheduling. Your agents coordinate the entire process from start to finish.

Pipeline management via MCP Server

Use a moderator agent to run `list_pipelines` and check for stalled leads. The agent can then update records or assign tasks to unblock the flow. Your crew stays active 24/7. It ensures no lead slips through the cracks of your sales funnel.

Setup guide

Set up HighLevel 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 HighLevel tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent HighLevel 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="HighLevel Analyst",
        goal="Access and analyze HighLevel data via MCP.",
        backstory="Expert analyst with direct HighLevel access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HighLevel 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 HighLevel. 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 HighLevel MCP in CrewAI

You pass the server URL directly to your agent's configuration. The agents then gain access to all 11 HighLevel tools for their tasks.

Yes, by using the `create_appointment` tool. You can set up one agent to find a time and another to confirm the meeting.

Yes. Agents share the results from tools like `search_opportunities` to maintain context during the entire session.

Use the tool_filter parameter in your configuration. This limits your agents to only the tools necessary for their specific role.

Data is protected by an ephemeral V8 sandbox. Each request requires your unique endpoint token, ensuring only your authorized crew touches your CRM data.

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