How to Use the Zid MCP in CrewAI

Q: Can I use CrewAI to check multiple Zid inventory levels?

Yes. You can assign an agent to run listzidinventories first, and then another agent can pick through that data to verify specific product counts.

Q: What is the best way to manage multiple Zid customer records in CrewAI?

The process starts with listing all customers using listzidcustomers. Then, subsequent agents can pull details for key clients by running getzidcustomer.

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Connect Zid MCP to CrewAI

Create your Vinkius account to connect Zid 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 Zid with CrewAI

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Coordinating Product Research using the MCP Server

One agent can call `list_zid_products` to research all available items. A second agent analyzes this list and then calls `get_zid_product` for specific data points, like pricing or descriptions. The shared memory keeps track of every product detail gathered throughout the crew's operation.

Monitoring Customer Data with Zid via MCP Server

The monitoring agent uses `list_zid_customers` to get a bulk list. The action agent then takes this list and calls `get_zid_customer` on the highest priority accounts to verify status. This multi-step process ensures that all necessary customer records are checked systematically.

Automating Order Verification with Zid in CrewAI

A specialized agent can call `list_zid_orders` for a batch of sales. A different agent analyzes the status and then calls `get_zid_order` to pull deep details, like shipping methods or line items. The crew executes these tasks sequentially, ensuring that verification steps run in order.

Setup guide

Set up Zid 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 Zid tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI uses specialized agents that collaborate. For example, one researches product data using `list_zid_products`, and another acts on the results by calling `get_zid_product`.

Yes. You can assign an agent to run `list_zid_inventories` first, and then another agent can pick through that data to verify specific product counts.

The process starts with listing all customers using `list_zid_customers`. Then, subsequent agents can pull details for key clients by running `get_zid_customer`.

CrewAI passes the Zid tools directly to its specialized agent roles. This gives your multi-agent team access to specific e-commerce functions like `get_zid_order`.

The server covers the full lifecycle: product details, inventory status, customer profiles, and complete order history within the e-commerce domain.

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