How to Use the Walmart Marketplace MCP in CrewAI

Run specialized teams for Walmart Marketplace operations with CrewAI.

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Connect Walmart Marketplace MCP to CrewAI

Create your Vinkius account to connect Walmart Marketplace 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 Walmart Marketplace with CrewAI

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Autonomous Catalog Cleanup using MCP Server

A 'Retirement Agent' uses `wm_retire_item` to clean unpublishing an active array securely, masking it from public view. A secondary 'Verification Agent' then runs `wm_get_item_status` to confirm the item is gone and verify its bounds. The crew model makes this process autonomous: one agent handles the action, another validates the outcome without human intervention.

Inventory and Pricing Teams for Walmart Marketplace

Assign a 'Pricing Agent' to use `wm_set_price` and `wm_setup_promotions`, while an 'Inventory Agent' uses `wm_update_inventory`. The crew can run these steps sequentially or hierarchically, passing the output of one tool as input to the next. This allows you to model complex business logic—e.g., only promote items that have stock.

Discovering and Updating Walmart Marketplace Listings

A 'Discovery Agent' uses `wm_list_items` to extract actively published 3P seller catalog arrays. Then, a 'Taxonomy Agent' runs `wm_get_taxonomy` to ensure the structure is correct before running pricing updates with `wm_bulk_price_update`. The multi-agent setup allows for role separation: one agent gathers data, another analyzes it, and a third executes the final API calls.

Setup guide

Set up Walmart Marketplace 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 Walmart Marketplace tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

It runs specialized agents that collaborate. You can set up roles where one agent researches item status using `wm_get_item_status` and another acts to fix the pricing using `wm_set_price`.

It handles structural feed parameters, inventory unit values, taxonomy node trees, and active 3P seller catalog arrays. It covers the entire operational scope of your listing.

Yes. You can set up an agent to list all items, and another agent to pass those results into the pricing tool (`wm_set_price`) for mass updates.

The crew model is perfect for this. One agent can pull a large list of SKUs, and another specialized agent can loop through them to execute `wm_bulk_price_update` safely.

The core data includes item status constraints, price mappings, physical logistic stock values, and structured category classifications.

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