# Adako: ad ops for AI assistants

> Adako — careful ad ops for AI agents — ai-adako-ads. Use this tool when you need to manage and optimize ad operations for AI agents across multiple platforms, including Google, Meta, ChatGPT, TikTok, and LinkedIn. Adako streamlines ad management by requiring approval for every ad write, ensuring careful and controlled ad ops. It solves problems of ad mismanagement and inefficiency, providing a unified interface for inputting ad parameters and outputting optimized ad performance.

Canonical page: https://skillsregistry.net/skills/ai-adako-ads  
JSON: https://api.skillsregistry.net/v1/skills/ai-adako-ads

## Description

Google, Meta, ChatGPT, TikTok and LinkedIn Ads for AI assistants. Every change needs your approval.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.adako%2Fads)
- **Repository:** <https://github.com/ruslan2027/adako-mcp>

## Use it

MCP endpoint published by the skill: `https://adako.ai/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": "ai-adako-ads"
    }
  }
}
```

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