# io.github.philmccarty/apple-search-ads-mcp

> Use this tool when you need to optimize and track Apple Search Ads campaigns, as it provides campaign analytics, bid management, and attribution tracking capabilities to help solve problems related to ad performance and ROI measurement. It takes in campaign data as input and outputs actionable insights and optimized bid strategies. Ideal for use in digital marketing contexts where data-driven decision making is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-philmccarty-apple-search-ads-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-philmccarty-apple-search-ads-mcp

## Description

Apple Search Ads MCP: campaign analytics, bid management, and attribution tracking.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.philmccarty%2Fapple-search-ads-mcp)

## Use it

MCP endpoint published by the skill: `https://appleadsmcp.com/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-philmccarty-apple-search-ads-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-philmccarty-apple-search-ads-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-philmccarty-apple-search-ads-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
