# AdWhispr

> AdWhispr — adwhispr. Use this tool when you need to research and replicate successful ad campaigns for any brand, or launch new campaigns on Google and TikTok. AdWhispr solves the problem of ad campaign optimization by identifying proven winners and streamlining the campaign launch process. It takes brand names and ad preferences as input and outputs cloned ad campaigns and launched ads on Google and TikTok through a chat interface.

Canonical page: https://skillsregistry.net/skills/adwhispr  
JSON: https://api.skillsregistry.net/v1/skills/adwhispr

## Description

AdWhispr researches any brand's ads, clones their proven winners, and launches new campaigns on Google and TikTok directly from a chat interface.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adwhispr)

## 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": "adwhispr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adwhispr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adwhispr/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