How to Use the LeadConnector MCP in CrewAI

Q: How do I add LeadConnector tools to a CrewAI agent?

Install the library with pip install crewai and pass the MCP server URL directly into the agent's mcps parameter during initialization. The Python framework automatically inspects the endpoint and exposes the tools to that specific agent.

Q: How do I restrict which LeadConnector tools a CrewAI agent can access?

Use the MCP library to configure a tool filter via MCPServerHTTP. This lets you expose listappointments to your booking agent while keeping pipeline tools hidden from it.

Deploy specialized agent crews to manage your LeadConnector pipelines autonomously in CrewAI.

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Connect LeadConnector MCP to CrewAI

Create your Vinkius account to connect LeadConnector 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 LeadConnector with CrewAI

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Perplexity

Coordinate multi-agent sales operations in CrewAI

One agent cannot run an entire HighLevel sales floor. CrewAI solves this by letting you build specialized teams that share context. Your research agent uses `list_contacts` to gather background, while your closer agent uses that data to pitch. The CrewAI framework coordinates the handoff. This MCP Server provides the raw data, and your crew uses its shared memory to keep track of who is talking to which LeadConnector prospect.

Automate pipeline triage with autonomous crews

Stop wasting time manually sorting HighLevel deals. You can deploy a CrewAI moderator agent that calls `list_opportunities` to scan your active pipelines for stalled deals. When it finds a deal stuck in a stage, it hands the LeadConnector lead off to a follow-up agent. The entire process runs in the background, keeping your pipeline moving without human intervention.

Run autonomous calendar audits

Keeping HighLevel calendars clean is a constant chore. With this MCP setup, a dedicated scheduling agent runs `list_appointments` to find double bookings or orphaned slots in CrewAI. It then coordinates with a communications agent to reach out to clients and reschedule. It is a completely hands-off system that keeps your sales reps focused on calls, not LeadConnector admin work.

Setup guide

Set up LeadConnector 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 LeadConnector tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent LeadConnector 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 LeadConnector (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 LeadConnector MCP in CrewAI

Install the library with `pip install crewai` and pass the MCP server URL directly into the agent's `mcps` parameter during initialization. The Python framework automatically inspects the endpoint and exposes the tools to that specific agent.

Yes. CrewAI agents share memory. If your research agent calls `list_contacts`, the resulting lead details are stored in the shared context, allowing the closer agent to use that information immediately.

Use the MCP library to configure a tool filter via `MCPServerHTTP`. This lets you expose `list_appointments` to your booking agent while keeping pipeline tools hidden from it.

Yes. You can set up a manager agent to coordinate the process. The manager decides when to call `list_opportunities` and assigns the follow-up tasks to subordinate agents based on the pipeline status.

All operations involving contacts, calendar bookings, and pipeline deals run through secure local transports. The LeadConnector MCP Server processes payloads ephemerally, ensuring your CRM data never leaks into external training sets or logs.

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