How to Use the Apple Search Ads MCP in LlamaIndex

Q: How do I set up Apple Search Ads with LlamaIndex?

Run pip install llama-index-tools-mcp first. Initialize BasicMCPClient with your Vinkius URL, wrap it in McpToolSpec, and pass the async tool list to your FunctionAgent.

Index Apple Search Ads data with LlamaIndex. Build RAG apps that answer questions using live campaign metrics instead of guesses.

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Connect Apple Search Ads MCP to LlamaIndex

Create your Vinkius account to connect Apple Search 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 Apple Search Ads with LlamaIndex

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Index live Apple Search Ads MCP Server data

Standard agents just read data and forget it. LlamaIndex takes the output from `get_campaign_report` and embeds it directly into your vector store. Your knowledge base grows richer with every API call. Users can then query historical performance without hitting the API again. When someone asks about last month's spend, the RAG pipeline pulls the exact figures from the index. Hallucinations stop being a problem.

Ground responses in actual ad metrics

Semantic search works best when fed accurate context. By running `get_keyword_report` and indexing the results, you give your LLM concrete numbers to reference. It knows exactly which terms converted and which ones failed. This approach bridges the gap between static documents and live systems. You combine internal marketing PDFs with real-time data from `get_search_term_report` in a single queryable interface. The agent sees the whole picture through the MCP Server.

Map campaign structures automatically

Building a full map of your account takes a few specific calls. Your code executes `list_campaigns`, loops through `list_ad_groups`, and stores the hierarchy. The resulting index understands exactly how your account is organized. Vinkius handles the messy connection details behind the scenes. You just pass the endpoint URL to `BasicMCPClient` and let `McpToolSpec` generate the tool list. Setup takes about three lines of code.

Setup guide

Set up Apple Search 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 Apple Search 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 Apple Search Ads tools.",
)
response = await agent.run("List recent Apple Search Ads data")

Get your connection token →

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

Run `pip install llama-index-tools-mcp` first. Initialize `BasicMCPClient` with your Vinkius URL, wrap it in `McpToolSpec`, and pass the async tool list to your FunctionAgent.

That is exactly what it does best. You pull data using the MCP Server tools and feed the JSON responses directly into your document index.

The server exposes everything from account status to granular search terms. Your agent can call tools like `get_ad_group_report` to pull specific performance numbers.

No. Vinkius manages the credentials remotely. Your code only requires the single MCP endpoint token to execute requests.

We process requests in a zero-trust, ephemeral sandbox. When you pull keyword lists or spend metrics, that information flows directly to your client. Vinkius retains zero historical records of your API payloads.

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