How to Use the Duoplane MCP in CrewAI

Deploy a CrewAI team to monitor your e-commerce operations using the Duoplane MCP Server for autonomous vendor management.

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Connect Duoplane MCP to CrewAI

Create your Vinkius account to connect Duoplane 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 Duoplane with CrewAI

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Perplexity

CrewAI teams manage Duoplane vendors

Assign one agent to `list_active_vendors` while another analyzes the profiles with `get_vendor_profile`. Your team collaborates to maintain your supplier database. This specialization keeps your agents focused. One researches the vendors, and the other ensures your configurations remain accurate.

Automate inventory audits with CrewAI

Let a monitor agent run `quick_vendor_inventory_audit` periodically. If the data shows a mismatch, the agent alerts your lead operator. This removes the need for manual reports. Your crew keeps watch on your stock levels while you focus on high-level strategy.

Sync product catalogs using CrewAI

Your agents call `list_synced_products` to verify your storefront matches your vendor inventory. This keeps your catalog accurate across all channels. The agents handle the cross-referencing. They identify gaps and report them before they turn into customer service issues.

Setup guide

Set up Duoplane 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 Duoplane tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to the agent's MCP list. CrewAI then handles the tool registration for the entire team.

Yes. CrewAI provides shared memory, allowing one agent to fetch order details and another to act on that information.

You use the tool filter in your MCP configuration. This ensures that only specific agents can execute sensitive tools like order lookups.

Yes. You can design a sequential process where one agent lists orders and the next retrieves details for each one.

All requests are scoped to your unique endpoint token. Your account metadata is never cached by the server, ensuring your configuration remains private.

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