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

Built by Vinkius GDPR 8 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Chewy Ads
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Chewy Ads MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Chewy Ads tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Chewy Ads, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Chewy Ads tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

get_campaign_details

Get detailed information for a specific campaign

02

get_chewy_account_balance

Retrieve the current account balance and budget status

03

get_performance_report

Retrieve a performance report for a specific period

04

list_adgroup_ads

List specific ads within an ad group

05

list_adgroup_keywords

List keywords and their performance for an ad group

06

list_campaign_adgroups

List ad groups within a specific campaign

07

list_chewy_campaigns

List all ad campaigns in the account

08

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.

01

"List all my active campaigns in Chewy Ads."

02

"What is my current account balance?"

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Chewy Ads + LangChain FAQ

Common questions about integrating Chewy Ads MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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.