How to Use the Chewy Ads MCP in AutoGen
Let your AutoGen agents debate and optimize Chewy Ads campaigns via MCP through collaborative, multi-agent workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Chewy Ads MCP to AutoGen
Create your Vinkius account to connect Chewy Ads to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Let AutoGen agents debate Chewy Ads budget allocations
`get_chewy_account_balance` provides the raw budget data that your AutoGen finance agent needs to initiate a budget review. This AutoGen agent can debate with a marketing agent about whether to scale up active Chewy campaigns or pause them. Using this MCP Server, the AutoGen agents can cross-reference the balance with `get_campaign_details` to see which Chewy campaigns are consuming the most budget. The AutoGen agents negotiate the best distribution of Chewy funds before executing any changes.
Coordinate multi-agent Chewy Ads keyword audits
`list_adgroup_keywords` allows an AutoGen search analyst agent to pull active keywords and pass them to a copywriter agent. The AutoGen copywriter agent can then review if the Chewy keywords match the ad copy's intent. An AutoGen QA agent can use `list_adgroup_ads` to verify that the Chewy ad creatives align with those high-performing keywords. This AutoGen multi-agent consensus ensures that your Chewy storefront ads are highly relevant before going live.
Analyze Chewy Ads performance reports via agent consensus
`get_performance_report` supplies the raw data for your AutoGen data analyst agent to parse. This AutoGen agent presents its findings to a strategy agent, who might challenge the Chewy performance analysis based on historical trends. The AutoGen agents can query `list_chewy_campaigns` to verify if the Chewy performance drops are isolated to specific campaigns or occur across the entire account. This AutoGen collaborative debugging prevents single-agent bias in your Chewy campaign reporting.
Set up Chewy Ads MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Chewy Ads tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Chewy Ads_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Chewy Ads data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Chewy Ads_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Chewy Ads data")
print(result.messages[-1].content) 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 AutoGen
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