How do I get my Apple Search Ads API credentials?

Log in to Apple Search Ads, navigate to **Settings > API**, and generate a public/private key pair. Upload the public key to receive your Client ID, Team ID, and Key ID.

The `orgId` identifies your specific organization or account within Apple Search Ads. You can find it in your account settings or in the URL when logged into the dashboard.

Is there a limit on search term reports?

Yes, Apple enforces a privacy threshold. Search term reports only return data for terms that have at least 10 impressions.

Apple Search Ads MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Apple Search Ads
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Apple Search Ads as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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ASK AI ABOUT THIS MCP SERVER

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python

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 Apple Search Ads. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Apple Search Ads?"
    )
    print(response)

asyncio.run(main())

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About Apple Search Ads MCP Server

The Apple Search Ads MCP Server empowers your AI agent to directly manage your advertising campaigns on the App Store. Gain deep insights into your marketing performance, optimize keyword targeting, and monitor search term trends using natural language.

LlamaIndex agents combine Apple Search Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.

Key Features

Campaign Management — List all campaigns, view detailed settings, and monitor budget allocation.
Ad Group Oversight — Drill down into ad groups within your campaigns to see granular configurations.
Performance Reporting — Generate comprehensive reports at the campaign, ad group, keyword, and search term levels.
Keyword Intelligence — Retrieve keyword-level metrics to understand what drives conversions and high ROI.
Search Term Discovery — Identify the exact terms users are typing to find your app and adjust your bidding strategy accordingly.
Real-time Analytics — Monitor impressions, clicks, and conversions across different granularities (hourly, daily, monthly).

Benefits for Teams

UA Managers — Quickly audit campaign performance and budget status without manually exporting reports.
Growth Marketers — Use AI to discover high-performing search terms and identify negative keyword opportunities.
Product Teams — Understand user intent by analyzing the search queries that lead to app installs.

The Apple Search Ads MCP Server exposes 10 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 Apple Search Ads to LlamaIndex via MCP

Follow these steps to integrate the Apple Search 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 10 tools from Apple Search Ads

Why Use LlamaIndex with the Apple Search Ads MCP Server

LlamaIndex provides unique advantages when paired with Apple Search Ads through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Apple Search Ads tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Apple Search Ads tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Apple Search Ads, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Apple Search Ads tools were called, what data was returned, and how it influenced the final answer

Apple Search Ads + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Apple Search Ads MCP Server delivers measurable value.

Hybrid search: combine Apple Search Ads real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Apple Search 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 Apple Search Ads for fresh data

Analytical workflows: chain Apple Search Ads queries with LlamaIndex's data connectors to build multi-source analytical reports

Apple Search Ads MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Apple Search Ads to LlamaIndex via MCP:

get_account_check

Verify Apple Search Ads account connection

get_ad_group_report

Get performance report for ad groups

get_campaign

Get details for a specific campaign

get_campaign_report

Get performance report at the campaign level

get_keyword_report

Get performance report for keywords

get_me

Retrieve information about the authenticated user and organization

get_search_term_report

Get performance report for search terms

list_ad_groups

List ad groups within a campaign

list_campaigns

List all search ads campaigns

list_keywords

List all keywords in a campaign

Example Prompts for Apple Search Ads in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Apple Search Ads immediately.

"List all my Apple Search Ads campaigns."

"Show me the performance report for campaign ID '987654321' for last week."

"What were the top 5 search terms for campaign ID '123456789' yesterday?"

Troubleshooting Apple Search Ads MCP Server with LlamaIndex

Common issues when connecting Apple Search Ads to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Apple Search Ads + LlamaIndex FAQ

Common questions about integrating Apple Search Ads MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Apple Search Ads tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.