Chewy Ads MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chewy Ads as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Chewy Ads. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Chewy Ads?"
)
print(response)
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.
LlamaIndex agents combine Chewy Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Chewy Ads MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Chewy Ads MCP Server
LlamaIndex provides unique advantages when paired with Chewy Ads through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chewy Ads tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chewy Ads tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chewy Ads, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chewy Ads tools were called, what data was returned, and how it influenced the final answer
Chewy Ads + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chewy Ads MCP Server delivers measurable value.
Hybrid search: combine Chewy Ads real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chewy Ads to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Chewy Ads for fresh data
Analytical workflows: chain Chewy Ads queries with LlamaIndex's data connectors to build multi-source analytical reports
Chewy Ads MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Chewy Ads to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Chewy Ads to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChewy Ads + LlamaIndex FAQ
Common questions about integrating Chewy Ads MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Chewy Ads with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.