# mcp-google-ads

> mcp-google-ads — connorstearns-mcp-google-ads. Use this tool when you need to manage and optimize Google Ads campaigns, solving problems such as ad targeting, budget allocation, and performance tracking. It takes in inputs like campaign settings and ad creatives, and outputs optimized ad configurations and performance reports. Ideal for use cases like automating ad management, analyzing campaign effectiveness, and streamlining marketing workflows.

Canonical page: https://skillsregistry.net/skills/connorstearns-mcp-google-ads  
JSON: https://api.skillsregistry.net/v1/skills/connorstearns-mcp-google-ads

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/connorstearns/mcp-google-ads)

## Use it

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": "connorstearns-mcp-google-ads"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/connorstearns-mcp-google-ads` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/connorstearns-mcp-google-ads/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