Chewy Ads MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Chewy Ads through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"chewy-ads": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Chewy Ads, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Chewy Ads through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Chewy Ads MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Chewy Ads via MCP
Why Use LangChain with the Chewy Ads MCP Server
LangChain provides unique advantages when paired with Chewy Ads through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Chewy Ads MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Chewy Ads queries for multi-turn workflows
Chewy Ads + LangChain Use Cases
Practical scenarios where LangChain combined with the Chewy Ads MCP Server delivers measurable value.
RAG with live data: combine Chewy Ads tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Chewy Ads, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Chewy Ads tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Chewy Ads tool call, measure latency, and optimize your agent's performance
Chewy Ads MCP Tools for LangChain (8)
These 8 tools become available when you connect Chewy Ads to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Chewy Ads to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersChewy Ads + LangChain FAQ
Common questions about integrating Chewy Ads MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Chewy Ads with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chewy Ads to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
