How to Use the Amazon Ads MCP in LlamaIndex

Q: How do I load Amazon Ads tools into LlamaIndex?

Install llama-index-tools-mcp and initialize the BasicMCPClient with your Vinkius server URL. Use McpToolSpec to convert the tools and pass them to your FunctionAgent.

Q: Can LlamaIndex search through Amazon Ads keyword lists?

Yes, the agent can call listspkeywords and index the results into a local vector store. You can then use semantic search to locate specific keywords and analyze their relevance.

Q: How do I handle Amazon Ads report files in LlamaIndex?

Your agent uses requestspreport to generate the file and polls getreportstatus to confirm it is done. Once ready, LlamaIndex reads the report data, parses it, and adds it to your active vector index.

Index live Amazon Ads campaign data directly into LlamaIndex vector stores for semantic search and RAG.

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Connect Amazon Ads MCP to LlamaIndex

Create your Vinkius account to connect Amazon Ads to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Amazon Ads with LlamaIndex

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Index Amazon Ads campaigns using the MCP Server

This MCP Server lets LlamaIndex ingest your campaign configurations directly into your index. By calling `list_sp_campaigns` and `list_sb_campaigns`, your RAG pipeline gets a snapshot of your active marketing structure. The agent converts the JSON output of your Sponsored Products and Sponsored Brands campaigns into searchable document nodes. You can then query your campaign setups using plain English instead of writing complex database filters.

Ground LlamaIndex queries in live performance reports

Avoid hallucinated metrics by feeding actual performance data to your query engine. The agent triggers `request_sp_report` and monitors it with `get_report_status` to fetch fresh CSV data. Once the report is ready, LlamaIndex parses the performance metrics into your local vector index. Your agent can then answer questions about cost-per-click and conversion rates using actual, grounded data.

Build semantic search over Amazon Ads keywords

Use LlamaIndex to find patterns in your targeting strategy. The agent pulls your current keyword lists using `list_sp_keywords` and `list_sb_keywords` and builds a semantic index. You can ask the agent which keywords overlap or conflict across different ad groups. It searches the indexed tool outputs to find matching intent without querying the Amazon Ads API repeatedly.

Setup guide

Set up Amazon Ads MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Amazon Ads MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Amazon Ads tools.",
)
response = await agent.run("List recent Amazon Ads data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon 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 Amazon Ads MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` with your Vinkius server URL. Use `McpToolSpec` to convert the tools and pass them to your `FunctionAgent`.

Yes, the agent can call `list_sp_keywords` and index the results into a local vector store. You can then use semantic search to locate specific keywords and analyze their relevance.

Your agent uses `request_sp_report` to generate the file and polls `get_report_status` to confirm it is done. Once ready, LlamaIndex reads the report data, parses it, and adds it to your active vector index.

Yes, you can configure allowed tools inside the MCP client setup to restrict access. This lets you restrict your agent to read-only operations like listing campaigns.

Your keyword text and campaign IDs are processed in memory and only stored in the vector database you configure. The Vinkius runtime environment is completely ephemeral and does not log your actual payload data.

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