# Nolas-Shadow

> Use this tool when you need to automate and optimize social media advertising campaigns on Meta and TikTok. Nolas-Shadow allows AI agents to launch and manage ad campaigns autonomously, solving problems related to manual campaign management and optimization. It accepts campaign parameters as input and outputs managed campaigns, making it ideal for use cases requiring scalable and efficient ad campaign management.

Canonical page: https://skillsregistry.net/skills/agent1st-ads-mcp-nolas-shadow  
JSON: https://api.skillsregistry.net/v1/skills/agent1st-ads-mcp-nolas-shadow

## Description

MCP server that lets AI agents launch and manage Meta + TikTok ad campaigns autonomously.

## 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:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/agent1st-ads-mcp/Nolas-Shadow)

## 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": "agent1st-ads-mcp-nolas-shadow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agent1st-ads-mcp-nolas-shadow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agent1st-ads-mcp-nolas-shadow/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