# Adspirer

> Use this tool when you need to manage digital advertising campaigns across Google, Meta, and TikTok platforms. It solves the problem of manual ad management by allowing users to create, manage, and optimize ads using natural language inputs, with outputs including performance reports and campaign controls. Ideal for use when streamlining ad management workflows and automating tasks through AI-native interfaces.

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

## Description

Run Google, Meta, and TikTok ads directly from ChatGPT and Claude. Create campaigns, manage budgets, pause/resume ads, and get performance reports — all through natural language. The AI-native way to manage digital advertising.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/adspirer/ads-mcp)

## 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": "adspirer-ads-mcp"
    }
  }
}
```

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