How to Use the Chewy Ads MCP in CrewAI

Q: Can I restrict which Chewy Ads tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP from crewai.mcp along with a toolfilter to limit access. For example, you can let a junior agent run listchewycampaigns while blocking them from reading account balances.

Deploy a crew of specialized CrewAI agents to audit, optimize, and report on your Chewy Ads campaigns.

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Connect Chewy Ads MCP to CrewAI

Create your Vinkius account to connect Chewy Ads 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 Chewy Ads with CrewAI

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Multi-Agent Pet Retail Optimization via CrewAI

Run your pet-store marketing like an enterprise agency. With CrewAI, you assign one agent to analyze catalog feeds using `list_chewy_catalogs` while a second agent evaluates performance using `get_performance_report`. The agents share memory and pass data back and forth. Your analyst agent flags low-performing items, and your strategist agent queries `list_campaign_adgroups` to find the exact ad groups that need adjustments.

Autonomous Keyword Auditing with MCP Server

Let your AI crew handle the tedious work of keyword cleanup. A specialized research agent runs `list_adgroup_keywords` to gather search terms and identify wasted spend on non-converting pet search queries. Once the research is done, a manager agent reviews the performance metrics. This entire process runs autonomously, letting your team focus on high-level creative work instead of digging through CSVs.

Intelligent Account Balance and Budget Monitoring

Keep a dedicated auditor agent watching your ad spend. By invoking `get_chewy_account_balance` via this MCP Server alongside `get_campaign_details`, the auditor agent maintains an ongoing log of your actual return on ad spend. If the agent detects that a specific campaign is burning through its budget too quickly, it escalates the issue to your human team. You get the benefits of constant human-like oversight without the labor costs.

Setup guide

Set up Chewy Ads 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 Chewy Ads tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass your Vinkius MCP endpoint URL directly into the agent's `mcps` list during initialization. This instantly exposes tools like `get_performance_report` to that specific agent's toolkit.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` along with a `tool_filter` to limit access. For example, you can let a junior agent run `list_chewy_campaigns` while blocking them from reading account balances.

CrewAI agents use their shared memory and sequential execution pipelines to pass data. One agent can retrieve ad groups using `list_campaign_adgroups` and hand that raw list directly to an optimization agent for keyword analysis.

The server supports stdio, SSE, and Streamable HTTP transports. This flexibility allows your Python-based CrewAI team to connect reliably whether running locally in a terminal or deployed in a cloud pipeline.

Your Chewy Ads campaign metrics and keyword performance logs are processed inside ephemeral, zero-trust V8 isolates managed by the Vinkius MCP Server. No data is cached or stored permanently, ensuring your competitive retail marketing strategies remain completely private.

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