Can I see my advertising spend for this month?

Yes! Use the `get_performance_report` tool with your desired date range. The agent will retrieve your spend metrics along with impressions and clicks.

How do I check the status of a specific ad group?

Use the `list_campaign_adgroups` tool with your campaign ID. Your agent will fetch all ad groups and their current states (e.g., Active, Paused).

Where do I find my Chewy Ads API Key and Client ID?

These credentials are provided through the Chewy Ads / PromoteIQ dashboard. Log in to your advertiser portal and look for the 'API' or 'Developer' settings section.

Chewy Ads MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Chewy Ads
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Chewy Ads through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Chewy Ads "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Chewy Ads?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Chewy Ads MCP Server

Connect your Chewy Ads (PromoteIQ) account to any AI agent and take full control of your retail media operations through natural conversation. Streamline how you manage sponsored products and advertising performance on Chewy.

Pydantic AI validates every Chewy Ads tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Campaign Oversight — List and retrieve details for all active and inactive ad campaigns natively
Performance Intelligence — Access detailed performance reports, including impressions, clicks, and spend flawlessly
Ad Group Logistics — Monitor specific ad groups and individual product ads to optimize your reach securely
Keyword Management — List and audit keywords and their associated performance metrics flawlessly
Budget Tracking — Retrieve current account balance and budget statuses in real-time
Catalog Synchronization — Access product catalogs synced with your ad account directly within your workspace

The Chewy Ads MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Chewy Ads to Pydantic AI via MCP

Follow these steps to integrate the Chewy Ads MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Chewy Ads with type-safe schemas

Why Use Pydantic AI with the Chewy Ads MCP Server

Pydantic AI provides unique advantages when paired with Chewy Ads through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Chewy Ads integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Chewy Ads connection logic from agent behavior for testable, maintainable code

Chewy Ads + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Chewy Ads MCP Server delivers measurable value.

Type-safe data pipelines: query Chewy Ads with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Chewy Ads tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Chewy Ads and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Chewy Ads responses and write comprehensive agent tests

Chewy Ads MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Chewy Ads to Pydantic AI via MCP:

get_campaign_details

Get detailed information for a specific campaign

get_chewy_account_balance

Retrieve the current account balance and budget status

get_performance_report

Retrieve a performance report for a specific period

list_adgroup_ads

List specific ads within an ad group

list_adgroup_keywords

List keywords and their performance for an ad group

list_campaign_adgroups

List ad groups within a specific campaign

list_chewy_campaigns

List all ad campaigns in the account

list_chewy_catalogs

List product catalogs synced with the ad account

Example Prompts for Chewy Ads in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Chewy Ads immediately.

"List all my active campaigns in Chewy Ads."

"What is my current account balance?"

"Show me the top 5 keywords for the 'Cat Litter' ad group."

Troubleshooting Chewy Ads MCP Server with Pydantic AI

Common issues when connecting Chewy Ads to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Chewy Ads + Pydantic AI FAQ

Common questions about integrating Chewy Ads MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Chewy Ads MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.