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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Apple Search Ads
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Apple Search Ads through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Apple Search Ads "
            "(10 tools)."
        ),
    )

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

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.

Pydantic AI validates every Apple Search Ads tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Apple Search Ads MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Apple Search Ads MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Apple Search Ads integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Apple Search Ads connection logic from agent behavior for testable, maintainable code

Apple Search Ads + Pydantic AI Use Cases

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

Type-safe data pipelines: query Apple Search Ads with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Apple Search Ads tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Apple Search Ads and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Apple Search Ads responses and write comprehensive agent tests

Apple Search Ads MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Apple Search Ads to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Apple Search Ads + Pydantic AI FAQ

Common questions about integrating Apple Search Ads MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Apple Search Ads MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.