How to Use the Integrate (Integrate.com) MCP in CrewAI

Deploy autonomous marketing crews in CrewAI using Integrate.com tools to manage leads and campaigns.

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Connect Integrate (Integrate.com) MCP to CrewAI

Create your Vinkius account to connect Integrate (Integrate.com) 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 Integrate (Integrate.com) with CrewAI

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Collaborative lead research with CrewAI

Assign a research agent to call `list_leads` while a moderator agent evaluates the results. Your crew works together, sharing memory to ensure no lead is overlooked during your campaign analysis. This mimics a human team's workflow. The agents communicate and act in sequence to maintain data accuracy.

Autonomous campaign moderation in CrewAI

Set up a monitor agent to watch your campaign performance using `list_reports`. If performance drops, the agent triggers a follow-up action using `get_lead` to investigate specific segments. It automates the entire feedback loop. You define the roles, and the crew handles the execution without further input.

Multi-source lead ingestion for CrewAI

Coordinate agents to query `list_sources` and `list_media_partners` to reconcile incoming data. Your agents verify that every lead matches your active sources before updating your internal records. This prevents data fragmentation. You maintain a clean database by automating the verification process across your entire marketing ecosystem.

Setup guide

Set up Integrate (Integrate.com) 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 Integrate (Integrate.com) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Integrate (Integrate.com) 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 Integrate (Integrate.com). 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 Integrate (Integrate.com) MCP in CrewAI

Pass the server URL in your agent definition. You can filter which tools each agent uses to ensure they only have access to the data they need.

Yes. By using the shared memory feature in your crew, agents pass context about leads and campaigns to each other during the execution phase.

It is. You can assign tools to specific agents in your hierarchy, allowing a manager agent to delegate tasks to subordinate agents who interact with the API.

You provide the endpoint token through the server configuration. The authentication is handled by the server, keeping your agent scripts clean and simple.

The server runs in a zero-trust environment where only authenticated agents access the tools. All lead information is processed in memory and never leaves your secure infrastructure.

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